Name: Python for Deep Learning - Build Neural Networks in Python
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Prologue to Tax Accounting Certification <br /><br />Is it accurate to say that you are an entrepreneur or somebody hoping to improve representative information on the assessment framework? The Introduction to Tax Accounting Certification offers UK-explicit course material, which is intended to furnish representatives with a central information base of the current assessment framework. Across 10 modules, this program examines a wide scope of subjects, all expected to furnish representatives with the necessary abilities, to work in a duty setting. It is implied explicitly for little and medium-sized organizations. Update your own abilities, or that of your staff, with this simple to-follow course, or venture out in preparing new representatives in this energizing field. <br /><br />What's Covered in the Course? <br /><br />All through the 10 modules, the course will cover various subjects, including: <br /><br />The UK tax collection framework, including the historical backdrop of tax collection and UK guidelines and norms; <br /><br />UK-explicit advantages and how they work, like Working Tax Credit, Jobseeker's Allowance, Income Support, Universal Credit and Bereavement Allowance, to give some examples; <br /><br />Public Insurance commitments and what they mean for annual duty, just as explicit expense codes and rates and how to present a self-appraisal; <br /><br />An outline of different tax collection frameworks, for example, business charges, Value Added Tax (VAT), finance and wages; <br /><br />Data on charges identified with bringing in and trading products and enterprises, including obligation help and how to order merchandise; <br /><br />Records and monetary administration, which will zero in on territories, for example, twofold section bookkeeping, arrangement of benefit/misfortune explanations and accounting reports and figuring and overseeing income. <br /><br />What are the Benefits of the Course? <br /><br />Here are the advantages of taking the course: <br /><br />Workers will comprehend the fundamentals of the UK charge framework, which can profit your business; <br /><br />The material shrouded in this course can be promptly applied to your work environment, while drawing in your staff in self-awareness, which prompts expanded occupation fulfillment; <br /><br />Course assessments guarantee that staff are obtaining the ideal information base and results; <br /><br />It guarantees that your business is observing the most current guidelines and best practices identified with tax collection in the UK; <br /><br />It centers explicitly around the UK charge framework, so you will not need to figure on the off chance that it applies to your business; <br /><br />The course can be finished from anyplace on the planet and is intended to be not difficult to follow, which means it will profit a novice or be a decent boost for more experience representatives, regardless of where they are, including the solace of their own home!

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Introduction to Tax Accounting

General Admission

<h2>Digital Marketing Level 2 Introduction</h2>
<p>Having the knowledge of effectively showcasing oneself or an organization in a digital format is an invaluable skill in nearly every financial sector. In today's business landscape, establishing an online presence is essential for any significant enterprise or company aiming to succeed. Consequently, the demand for employees who possess expertise in digital marketing has become more crucial than ever before.</p>
<p>This course offers a fully online learning experience, allowing your colleagues the flexibility to study whenever and wherever is most convenient for them. On average, the course can be completed in approximately 15 hours, though completion times may vary depending on individual progress.</p>
<p>Spanning across 10 engaging modules, this course equips participants with the necessary skills to excel in the digital marketing industry. After completing each module, learners will undergo assessments to reinforce their understanding and solidify the concepts and strategies taught throughout the course.</p>
<p>Upon completing the final module, participants will be required to pass an end-of-course exam. Successful completion of the exam grants them a fully accredited certification, which can be promptly obtained in either printed or digital form. This certification serves as a tangible recognition of their proficiency in digital marketing.</p>
<h2>
<br />What's Covered in the Digital Marketing Course?</h2>
<p><br />Through this course, you can hope to find out about:<br /></p>
<ul>
<li>The fundamentals of computerized promoting, for example, what it is, the manner by which it's utilized, latest things in the field and why it's significant</li>
<li>The significance of site improvement (SEO) and web crawler showcasing (SEM) and how to utilize them, to expand their online presence</li>
<li>The best techniques for making and organizing sites, what substance is essential to incorporate, the various kinds of sites and how to utilize a site for promoting purposes</li>
<li>The most practical strategies for utilizing email for showcasing purposes</li>
<li>Web-based media and the basic devices and systems for utilizing this stage, to arrive at a greater amount of their customers</li>
<li>Utilizing web examination, to expand their web advertising procedure</li>
<li>The standards and guidelines by which an advanced advertiser should submit to</li>
</ul>
<h2>
<br />What are the Benefits of the Digital Marketing course?</h2>
<p><br />There are a scope of advantages of effectively finishing this course. These advantages include:<br /></p>
<ul>
<li>Turning into a more important resource for the organization with regards to computerized promoting</li>
<li>The capacity to make more compelling notices</li>
<li>The capacity to learn at that point and from the spot that best suits them and the organization</li>
<li>Study materials are accessible on all significant gadgets - all that is required is a web association</li>
<li>Your colleagues can concentrate in a spot and during a period that best suits both them and the organization</li>
</ul>

Digital Marketing Level 2

Fundamental Accounting Certificate <br /><br />The Accounting Course offers understudies the important data needed to deal with your business better or start a vocation in the monetary business in the United Kingdom. This internet instructional class furnishes understudies with guidance that will put you on the way to starting a profession as an effective bookkeeper. Bookkeeping assumes a basic part in keeping up and preparing the significant monetary data that assists with working a beneficial business. This is a wide subject that centers around bookkeeping records, yet on accounting, charges and on all parts of money. To set you up in such manner, this course offers you an exhaustive outline of what you can anticipate from your profession in bookkeeping and money. Prologue to the Accounting Course As this is an internet instructional class understudies can examine educational program at whatever point and any place it is advantageous for them. Many enlisted understudies are as yet ready to work all day and keep a functioning way of life. Our examination material is effortlessly gotten to across any gadget with a web association with online help accessible while you train. After effective consummation of this course and a different decision test, you will be granted your endorsement. For a little expense, we can post the declaration for you, or you can download and print it from home. <br /><br />What You Will Learn <br /><br />The bookkeeping confirmation course plans understudies for a vocation in the monetary business by offering an extensive outline of bookkeeping and money. This course will cover: <br /><br />A presentation into the significance of bookkeeping <br /><br />A glance at four different ways to structure your business <br /><br />Step by step instructions to manage significant government bodies, enrolling and recording <br /><br />The advantages of a business ledger <br /><br />Step by step instructions to set up a business ledger <br /><br />Assessing financing hotspots for your business <br /><br />Managing cash from clients <br /><br />Step by step instructions to monitor business expenses and assessment help <br /><br />The fundamentals of recordkeeping and accounting <br /><br />The most effective method to manage charges <br /><br />Utilizing staff <br /><br />Removing cash from your business <br /><br />Step by step instructions to peruse the benefits, money and proportions in your records <br /><br />Utilizing determining techniques to anticipate what's to come <br /><br />Instructions to know whether you need a bookkeeper <br /><br />Moral acts of a bookkeeper <br /><br />Advantages of the Accounting Diploma <br /><br />The Accounting Diploma offers understudies an assortment of advantages. These incorporate the accompanying: <br /><br />The accommodation of concentrating from home, or anyplace with a web association. <br /><br />The capacity to learn at your own speed. There is no time limit for this course, so on the off chance that it requires days, weeks or months, you can in any case finish your investigations. <br /><br />Study material that is accessible across any gadget with a web association including PCs, tablets or cell phones. <br /><br />Helpful simple to oversee course modules that make concentrating more charming. <br /><br />Online help accessible to help keep you centered while you study. <br /><br />The chance to pick up utilizing a far reaching prospectus that helps you in securing the information important to begin your profession in bookkeeping. <br /><br />Improving your possibilities while you apply for work in the monetary business. <br /><br />After effective course fulfillment, you will acquire a confirmed and perceived confirmation. <br /><br />A moderate evaluating structure.

Introduction to Accounting

<h2><strong>Why study interior design online? </strong></h2>
<p>Training in Interior Design professionally enables you to project, direct and execute interior projects and works. Dsigno prepares you to be a specialist in creating spaces and carrying out renovation projects. You will be able to develop your creative and technical skills, applying them in subjects such as architecture, decoration, installations, project management, among others. With 100% online training, a higher degree and a guarantee of accredited professional studies, you will receive personalized attention from our teachers with a complete and updated study methodology.</p>
<p>The How To Become An Interior Designer course contains everything you need to know in order to prepare to work as an interior designer. Interior design is a popular career choice for many people who have an interest in the visual arts and home dÃ©cor, and this profession can be both creatively and financially fulfilling. However, it is important to understand not only the fundamentals of interior design but also the practical side of working in this competitive industry.</p>
<p>Once you understand the key issues that govern design projects, you will have the confidence to build your own personal style whilst helping your client devise their ideal home or commercial space. This course begins with a discussion of what interior designers do on a day-to-day basis, how they are trained, and the qualities necessary to succeed in this line of work. It then looks at a number of topics within interior design, enabling you to develop an understanding of how interior projects are managed.</p>
<p>The modules within this course cover color, project management, furniture, materials, textures, and much more. The course also contains clear, up-to-date information on what you need to consider when setting up your own interior design business. You will also learn about sustainability in interior design; an issue that has recently begun to receive attention in the industry.</p>
<p> </p>
<h3>What You Will Learn</h3>
<ul>
<li>What an interior designer does, the history of interior design as a profession, the most popular manual and digital tools used to complete projects, and the typical routes people follow when building their career as a designer.</li>
<li>How to plan a project, and work with clients and other contractors to ensure that a client brief is filled.</li>
<li>Important issues that will arise when planning and decorating specific types of space, including kitchens, offices, bathrooms, bedrooms and living rooms, and how to address them.</li>
<li>An overview of colour psychology, colour terminology and how interior designers use colour to enhance the appearance of a space.</li>
<li>The importance of selecting appropriate surfaces, materials and textures when deciding on a style and aesthetic, including floor and wall coverings.</li>
<li>The different ways in which lighting can alter the mood and appearance of a space, and how to select the right kind of illumination for any room.</li>
<li>How to choose furniture for any space, how to draw inspiration from the most popular kinds of style used in interior design, and how to customise furniture so that it fits your client's vision.</li>
<li>How to make the most of textiles and accessories to add personality to any project.</li>
<li>What is meant by the term âgreen designâ, and how you can make sure that your design practice is ecologically and ethically sound.</li>
<li>The steps you will need to take when starting your own business.</li>
</ul>
<h4><br /></h4>
<h3>Benefits of taking this course:</h3>
<ul>
<li>You can learn the material in any place, at any time, and at your own speed.</li>
<li>All you need is an internet-enabled device.</li>
<li>Content is presented as brief modules, making learning easy.</li>
<li>Access to an online support system.</li>
<li>A complete overview of the steps you need to take in order to become an interior designer, together with an overview of design theory and practice.</li>
<li>Affordable cost.</li>
</ul>

Interior Design Diploma

Sage 50 Certification Level 1-3 <br /><br />Is it accurate to say that you are hoping to overhaul your finance staff or possibly your bookkeeping framework? The Sage 50 programming is utilized all through the UK and can make bookkeeping rehearses inside your business simpler and more proficient. This program offers the total preparing program, from fledgling level to cutting edge level, creating this an extraordinary open door to propel staff in the records office. Each level offers 10 modules that become really testing and expand on past information, as the course advances. There could be no greater chance to select or give this preparation to an individual from your staff. <br /><br />What's Covered in the Course? <br /><br />This confirmation program is separated into three levels: fledgling, middle of the road and progressed. Each level offers such a lot of substance, which you can see beneath: <br /><br />Level 1: Beginner <br /><br />Bookkeeping essentials and monetary administration utilizing the Sage 50 programming; <br /><br />Foundation data to and the historical backdrop of Sage 50, including the benefits of embracing this product; <br /><br />The arrangements and highlights of Sage 50, for example, how you can improve your bookkeeping and monetary administration; <br /><br />The establishment and set-up of the product, just as how to reestablish back-up records, so you'll never lose critical information again; <br /><br />Step by step instructions to explore through the Sage 50 programming, including how to print reports; <br /><br />An outline of the graph of records, which will permit representatives to get a handle on significant wording and make as well as alter these reports; <br /><br />Bank records and compromise, so you'll generally have precise records of your records; <br /><br />The creation and upkeep of negligible money, provider and client records; <br /><br />Making and overseeing deals solicitations and receipts and the contrasts between them. <br /><br />Level 2: Intermediate: <br /><br />Get familiar with the fundamentals of accumulations and prepayments, including month end reports and setting up prepayments; <br /><br />The most effective method to set up fixed resources and ascertain devaluation esteems, including how to utilize an Asset Disposal Wizard, fixing mistakes and the administration of client and provider data; <br /><br />Preparing buy orders, stock control and checking, including how to make, revise and erase requests and what to look like up past orders, while keeping up stock levels; <br /><br />The most effective method to set item evaluating, construct a value list and ascertain client limits and credits; <br /><br />The total deals request measure, for example, despatching a request, distributing stock and making a review trail. <br /><br />Level 3: Advanced <br /><br />The significance of credit control and how to carry out control methodology, including seeing client history and matured equilibriums and hailing exchange debates; <br /><br />Instructions to oversee VAT, including returns, changing installment frameworks and clearing accounts; <br /><br />An outline of utilizing unfamiliar monetary standards, like exchanging, change, managing unfamiliar providers or potentially clients, bank moves and getting to exchanges and solicitations; <br /><br />Venture the board, including appointing costs and the administration of assets, recording costs, dispensing and accommodating stocks and charging clients; <br /><br />Producing project reports and making preliminary adjusts and benefit/misfortune proclamations. <br /><br />What are the Benefits of the Course? <br /><br />Here are the advantages of taking the course: <br /><br />You get every one of the 6 Sage 50 courses in one simple to-follow bundle - extraordinary for novices and those with a current central information; <br /><br />Staff can gain from the solace of their home or while at the workplace, and the course can oblige their individual learning pace; <br /><br />The substance can be applied as they learn, so they don't need to stand by until each of the three levels have been finished, prior to incorporating their learning; <br /><br />No essentials are needed for you or your staff, to begin.

Sage 50 Level 1-3

Apex Learning

Google Data Studio

GDPR

Data Mining

Tableau

Business Intelligence (BI)

Python

ChatGPT

12 in 1 Career Guided Programme | Python, Data Science, ML, Tableau, SQL Programming, Data Mining, Business Analysis | 130 CPD Points | Tutor Support | Lifetime Access

Data Analyst (Data Analytics) Diploma - CPD Certified

<p><strong>Data analysis</strong> is a crucial skill in today's data-driven world, and the demand for skilled data analysts in the UK is on the rise. According to the Office for National Statistics (ONS), the UK's digital economy grew by <strong>7.9% in this year</strong>, creating numerous job opportunities in fields such as data analysis.</p><p>In Data Analysis in Excel with Analytics for Data Analysts course, you will get to learn the fundamentals of Excel data analysis. The highly informative modules will help you enhance your understanding of charts, pivot tables, pivot charts and more. You will acquire the expertise to work with multiple workbooks and worksheets. In this step-by-step learning process, you will get to grasp a better understanding of lookup functions. In addition, you will know the essentials of data forecasting, mapping data and formula auditing.</p><p>At the end of the data analysis course, you can receive QLS endorsed certificate of achievement. This certificate will allow you to enhance your resume and lift your employability. Enrol now!</p><p><strong>Dis Diploma Included Courses are: </strong></p><ul><li><strong>Course 01: Diploma in Data Analytics with Tableau<br /></strong></li><li><strong>Course 02: Data Analytics<br /></strong></li><li><strong>Course 03: Google Data Studio: Data Analytics</strong><strong><br /></strong></li><li><strong>Course 04: Big Data Analytics with PySpark Tableau Desktop and MongoDB<br /></strong></li><li><strong>Course 05: Learn MySQL from Scratch for Data Science and Analytics</strong><strong><br /></strong></li><li><strong>Course 06: Data Analysis In Excel<br /></strong></li><li><strong>Course 07: Diploma in Data Analysis Fundamentals<br /></strong></li><li><strong>Course 08: Business Data Analysis<br /></strong></li><li><strong>Course 09: Data Science &amp; Machine Learning with Python<br /></strong></li><li><strong>Course 10: R Programming for Data Science<br /></strong></li><li><strong>Course 11: Learn Python, JavaScript, and Microsoft SQL for Data science</strong></li></ul><p><strong>Key Learnings:</strong></p><ul><li>Ability to effectively modify and organize data within a worksheet using various formatting tools.</li><li>Proficiency in working with lists and using data analysis techniques such as sorting, filtering, and subtotalling.</li><li>Competency in analysing data through the use of functions, such as statistical and mathematical functions, to derive meaningful insights.</li><li>Proficiency in creating visually appealing charts and graphs to effectively communicate data insights.</li><li>Competency in using PivotTables and PivotCharts to efficiently summarize and analyse large sets of data.</li><li>Proficiency in automating data analysis tasks and functions through the use of macros and other automated workbook functionalities.</li></ul><p><strong>Course Significant Points:</strong></p><ul><li>Quality Licence Scheme Endorsed</li><li>CPD Accredited Course</li><li>Unlimited Retake Exam &amp; Tutor Support</li><li>Easy Accessibility to the Course Materials</li><li>100% Learning Satisfaction Guarantee</li><li>Lifetime Access &amp; 24/7 Support</li><li>Self-paced online course Modules</li><li>Covers to Explore Multiple Job Positions</li></ul><p><strong>How is the course assessed?</strong></p><p>To assess your learning, you have to complete the assignment questions provided at the end of the course. You have to score at least 60% to pass the exam and to qualify for Quality Licence Scheme endorsed and CPD-accredited certificates. After passing the assignment exam, you will be able to apply for a certificate.</p><p><strong>Meet the Endorsement</strong></p><p>The Quality Licence Scheme has been designed specifically to recognise high-quality courses. This Data Analysis with Excel course materials are recognised by Quality Licence Scheme (QLS). This ensures the deep research and quality resource allocation behind the development phase of the course. In addition, the QLS certificate enriches your CV and recognises your quality study on the relevant subject.</p><p><strong>How will QLS boost your worth?</strong></p><ul><li>Achieving <strong>Quality Licence Scheme</strong> endorsed certificates can provide you with valued and credible evidence of <strong>your skills and knowledge to potential employers. </strong></li><li>Quality Licence Scheme (QLS) endorsements are awarded to training programmes and courses that <strong>meet high quality standards</strong>, ensuring that your certificate represents <strong>a valuable achievement.</strong></li><li>The stringent assessment process involved in achieving Quality Licence Scheme Endorsed Certificates ensures that you have acquired the <strong>necessary skills and knowledge to excel in your chosen field.</strong></li></ul><p><strong>Meet the Accreditation</strong></p><p>CPD Quality Standards (CPD QS) accreditation assures the Data Analysis with Excel course training and learning activities are relevant, reliable, and up to date.</p><p><strong>How Will CPD Accredited Value You?</strong></p><ul><li>CPD accreditation ensures that the training programme or course you have completed has been <strong>independently reviewed</strong> and meets <strong>rigorous quality standards.</strong></li><li>By achieving CPD accredited certificates, you can <strong>enhance your career prospects</strong>, build your <strong>professional reputation</strong>, and stay competitive in <strong>today's job market.</strong></li></ul><p><strong>**Diploma in Data Analytics with Tableau**</strong></p><ul><li>Introduction To The Course</li><li>Project 1: Discount Mart (Sales And Profit Analytics)</li><li>Project 2: Green Destinations (HR Analytics)</li><li>Project 3: Superstore (Sales Agent Tracker)</li><li>Northwind Trade (Shipping Analytics)</li><li>Project 5: Tesla (Stock Price Analytics)</li><li>Bonus: Introduction To Database Concepts</li><li>Tableau Stories</li></ul><p><strong>**Data Analytics**</strong></p><ul><li>Introduction To The World Of Data</li><li>Basics Of Data Analytics</li><li>Statistics For Data Analytics</li><li>Actions Taken In The Data Analysis Process</li><li>Gathering The Right Information</li><li>Storing Data</li><li>Data Mining</li><li>Excel For Data Analytics</li><li>Tools For Data Analytics</li><li>Data-Analytic Thinking</li><li>Data Visualisation That Clearly Describes Insights</li><li>Data Visualisation Tools</li></ul><p><strong>**Google Data Studio: Data Analytics**</strong></p><ul><li>Introduction</li><li>Google Sheets</li><li>Google Data Studio</li></ul><p><strong>**Big Data Analytics with PySpark Tableau Desktop and MongoDB**</strong></p><ul><li>Introduction</li><li>Setup And Installations</li><li>Data Processing With PySpark And MongoDB</li><li>Machine Learning With PySpark And MLlib</li><li>Creating The Data Pipeline Scripts</li><li>Tableau Data Visualization</li><li>Source Code</li></ul><p><strong>**Learn MySQL from Scratch for Data Science and Analytics**</strong></p><ul><li>Getting Started</li><li>SQL Server Setting Up</li><li>SQL Database Basics</li><li>SQL DML (Data Manipulation Language)</li><li>SQL DDL (Data Definition Language)</li><li>SQL DCL (Data Control Language)</li><li>SQL Statement Basic</li><li>Filtering Data Rows</li><li>Aggregate Functions For Data Analysis</li><li>SQL Data Analyticstatements</li><li>SQL Group By Statement</li><li>JOINS</li><li>SQL Constraints</li><li>Views</li><li>Advanced SQL Functions</li><li>SQL Stored Procedures</li><li>Import &amp; Export Data</li><li>Backup And Restore Database</li></ul><p><strong>**Data Analysis In Excel**</strong></p><ul><li>Modifying A Worksheet</li><li>Working With Lists</li><li>Analyzing Data</li><li>Visualizing Data With Charts</li><li>Using PivotTables And PivotCharts</li><li>Working With Multiple Worksheets And Workbooks</li><li>Using Lookup Functions And Formula Auditing</li><li>Automating Workbook Functionality</li><li>Creating Sparklines And Mapping Data</li><li>Forecasting Data</li></ul><p><strong>**Diploma in Data Analysis Fundamentals**</strong></p><ul><li>Introduction</li><li>Agenda And Principles Of Process Management</li><li>The Voice Of The Process</li><li>Working As One Team For Improvement</li><li>Exercise: The Voice Of The Customer</li><li>Tools For Data Analysis</li><li>The Pareto Chart</li><li>The Histogram</li><li>The Run Chart</li><li>Exercise: Presenting Performance Data</li><li>Understanding Variation</li><li>The Control Chart</li><li>Control Chart Example</li><li>Control Chart Special Cases</li><li>Interpreting The Control Chart</li><li>Control Chart Exercise</li><li>Strategies To Deal With Variation</li><li>Using Data To Drive Improvement</li><li>A Structure For Performance Measurement</li><li>Data Analysis Exercise</li><li>Course Project</li><li>Test Your Understanding</li></ul><p><strong>**Business Data Analysis**</strong></p><ul><li>Introduction To Business Analysis</li><li>Business Environment</li><li>Business Processes</li><li>Business Analysis Planning And Monitoring</li><li>Strategic Analysis And Product Scope</li><li>Solution Evaluation</li><li>Investigation Techniques</li><li>Ratio Analysis</li><li>Stakeholder Analysis And Management</li><li>Process Improvement With Gap Analysis</li><li>Documenting And Managing Requirements</li><li>Business Development And Succession Planning</li><li>Planning &amp; Forecasting Operations</li><li>Business Writing Skills</li></ul><p><strong>**Data Science &amp; Machine Learning with Python**</strong></p><ul><li>Course Overview &amp; Table Of Contents</li><li>Introduction To Machine Learning</li><li>System And Environment Preparation</li><li>Learn Basics Of Python - Assignment</li><li>Learn Basics Of Python - Functions</li><li>Learn Basics Of Python - Data Structures</li><li>Learn Basics Of NumPy - NumPy Array</li><li>Learn Basics Of NumPy - NumPy Data</li><li>Learn Basics Of NumPy - NumPy Arithmetic</li><li>Learn Basics Of Matplotlib</li><li>Learn Basics Of Pandas</li><li>Understanding The CSV Data File</li><li>Load And Read CSV Data File Using Python Standard Library</li><li>Load And Read CSV Data File Using NumPy</li><li>Load And Read CSV Data File Using Pandas</li><li>Dataset Summary - Peek, Dimensions And Data Types</li><li>Dataset Summary - Class Distribution And Data Summary</li><li>Dataset Summary - Explaining Correlation</li><li>Dataset Summary - Explaining Skewness - Gaussian And Normal Curve</li><li>Dataset Visualization - Using Histograms</li><li>Dataset Visualization - Using Density Plots</li><li>Dataset Visualization - Box And Whisker Plots</li><li>Multivariate Dataset Visualization - Correlation Plots</li><li>Multivariate Dataset Visualization - Scatter Plots</li><li>Data Preparation (Pre-Processing) - Introduction<br /><ul><li>Re-Scaling Data</li><li>Standardizing Data</li><li>Normalizing Data</li><li>Binarizing Data</li></ul></li><li>Feature Selection - Introduction<br /><ul><li>Uni-Variate Part</li><li>Recursive Feature Elimination</li><li>Principal Component Analysis (PCA)</li><li>Feature Importance</li></ul></li><li>Refresher Session - The Mechanism Of Re-Sampling, Training And Testing</li><li>Algorithm Evaluation Techniques - Introduction<br /><ul><li>Train And Test Set</li><li>K-Fold Cross Validation</li><li>Leave One Out Cross Validation</li><li>Repeated Random Test-Train Splits</li></ul></li><li>Algorithm Evaluation Metrics - Introduction<br /><ul><li>Classification Accuracy</li><li>Log Loss</li><li>Area Under ROC Curve</li><li>Confusion Matrix</li><li>Classification Report</li><li>Mean Absolute Error - Dataset Introduction</li><li>Mean Absolute Error</li><li>Mean Square Error</li><li>R Squared</li></ul></li><li>Classification Algorithm Spot Check - Logistic Regression<br /><ul><li>Linear Discriminant Analysis</li><li>K-Nearest Neighbors</li><li>Naive Bayes</li><li>CART</li><li>Support Vector Machines</li></ul></li><li>Regression Algorithm Spot Check - Linear Regression<br /><ul><li>Ridge Regression</li><li>Lasso Linear Regression</li><li>Elastic Net Regression</li><li>K-Nearest Neighbors</li><li>CART</li><li>Support Vector Machines (SVM)</li></ul></li><li>Compare Algorithms</li><li>Pipelines</li><li>Performance Improvement: Ensembles - Voting<br /><ul><li>Bagging</li><li>Boosting</li></ul></li><li>Performance Improvement: Parameter Tuning Using Grid Search</li><li>Performance Improvement: Parameter Tuning Using Random Search</li><li>Export, Save And Load Machine Learning Models : Pickle</li><li>Export, Save And Load Machine Learning Models : Joblib</li><li>Finalizing A Model - Introduction And Steps</li><li>Finalizing A Classification Model - The Pima Indian Diabetes Dataset</li><li>Quick Session: Imbalanced Data Set - Issue Overview And Steps</li><li>Iris Dataset : Finalizing Multi-Class Dataset</li><li>Finalizing A Regression Model - The Boston Housing Price Dataset</li><li>Real-Time Predictions: Using The Pima Indian Diabetes Classification Model</li><li>Real-Time Predictions: Using Iris Flowers Multi-Class Classification Dataset</li><li>Real-Time Predictions: Using The Boston Housing Regression Model</li></ul><p><strong>**R Programming for Data Science**</strong></p><ul><li>Data Science Overview</li><li>R And RStudio</li><li>Introduction To Basics</li><li>Vectors</li><li>Matrices</li><li>Factors</li><li>Data Frames</li><li>Lists</li><li>Relational Operators</li><li>Logical Operators</li><li>Conditional Statements</li><li>Loops</li><li>Functions</li><li>R Packages</li><li>The Apply Family - Lapply</li><li>The Apply Family - Sapply &amp; Vapply</li><li>Useful Functions</li><li>Regular Expressions</li><li>Dates And Times</li><li>Getting And Cleaning Data</li><li>Plotting Data In R</li><li>Data Manipulation With Dplyr</li></ul><p><strong>**Learn Python, JavaScript, and Microsoft SQL for Data science**</strong></p><ul><li>JavaScript Introduction</li><li>JavaScript Basics</li><li>JavaScript Operators</li><li>JavaScript Conditional Statements</li><li>JavaScript Control Flow Statements</li><li>JavaScript Functions</li><li>JavaScript Error Handling</li><li>JavaScript Client-Side Validations</li><li>Python Introduction</li><li>Python Basic</li><li>Python Strings</li><li>Python Operators</li><li>Python Data Structures</li><li>Python Conditional Statements</li><li>Python Control Flow Statements</li><li>Python Core Games</li><li>Python Functions</li><li>Python Args, KW Args For Data Science</li><li>Python Project</li><li>Python Object Oriented Programming [OOPs]</li><li>Python Methods</li><li>Python Class And Objects</li><li>Python Inheritance And Polymorphism</li><li>Python Encapsulation And Abstraction</li><li>Python OOPs Games</li><li>Python Modules And Packages</li><li>Python Error Handling</li><li>Microsoft SQL[MS] Introduction</li><li>MS SQL Statements</li><li>MS SQL Filtering Data</li><li>MS SQL Functions</li><li>MS SQL Joins</li><li>MS SQL Advanced Commands</li><li>MS SQL Structure And Keys</li><li>MS SQL Queries</li><li>MS SQL Structure Queries</li><li>MS SQL Constraints</li><li>MS SQL Backup And Restore</li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        570 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p><strong>Data Analysis course is ideal for: </strong></p><ul><li>Professionals working in fields such as finance, business, and healthcare who need to analyse data and make decisions based on their findings.</li><li>Students and researchers who want to develop their skills in data analysis and visualisation using Excel.</li><li>Individuals who are looking to pursue a career in data analysis and want to gain a foundational understanding of Excel and its capabilities.</li><li>Business owners and entrepreneurs who want to learn how to use Excel to analyse and interpret data for their own businesses.</li><li>Anyone who wants to improve their data analysis skills for personal or professional purposes and gain proficiency in Excel as a tool for data analysis.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no specific prerequisites to enrol in Data analysis course. <strong> Anyone and everyone</strong> can take this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>The course will assist you in establishing a solid understanding of data analysis. After the course, you will be able to explore career options such as:</p><ul><li><strong>Data Analyst </strong>(Average annual salary £35,000)</li><li><strong>Research Analyst</strong> (Average annual salary £28,552)</li><li><strong>Business Analyst</strong> (Average annual salary £42,618)</li><li><strong>Risk Analyst </strong>(Average annual salary £41,340)</li><li><strong>Financial Analyst</strong> (Average annual salary £50,300)</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion (PDF)</h4>
        <p>
            Digital certificate -
            £9
        </p>
            <div> <p><strong>CPD Accredited PDF Certificate.</strong><br />A PDF Certificate: £9</p> </div>
        <h4>Certificate of completion (Hardcopy)</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div> <p><strong>CPD Accredited Hard Copy Certificate. </strong><br />A Hardcopy Certificate (within the UK): £15<br />A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</p> </div>
        <h4>Endorsed Certificate of Achievement from the Quality Licence Scheme (Hardcopy)</h4>
        <p>
            Hard copy certificate -
            £109
        </p>
            <div> <p>Data Analysis In Excel (within the UK: £109, International: £119)</p> </div>

                        </div>

One Education

Data Analyst : Data Analyst (Data Analytics) - Level 5 Diploma Course

<strong>Through this course, you will learn to transform yourself from a passive learner who watches to one who sees the process of learning for what it truly is-a mechanism to better oneself. You will build 40 amazing applications to master the concepts of computer science and Python programming.</strong>
        <p>By encouraging you to build 40 applications, this course will make you well-versed with numerous ideas, theories, and fundamentals of computer science and Python.

The course begins with the installation process of Python and an explanation of basic data types used in Python programming. You will then start building 40 meaningful, engaging, and purposeful Python applications that will help you to understand the concepts of Python programming in detail. Some of the applications that you will learn to build are letter counter application, grade sorter application, voter registration application, thesaurus application, and a lot more.

By the end of this course, you will be well-versed in Python programming and will have developed the skills to build real-world applications in Python.

The code files for this course is available at https://github.com/PacktPublishing/The-Art-of-Doing-Code-40-Challenging-Python-Programs-Today</p>
        <h2>What You Will Learn</h2><p>Understand and work with Python data types<br>Apply control flow statements in your programs<br>Distinguish between various types of operators<br>Find out how to use Python built-in functions and methods<br>Discover how to create GUI interfaces for Python applications<br>Uncover techniques to write error-free code</p>
        <h2>Audience</h2><p>If you are a beginner or an intermediate programmer who wants to master Python programming by building applications rather than instructions, this course is for you. To get started with this course, all you need is a working computer with Python 3 installed and an internet connection.</p>
        <h2>Approach</h2><p>You will build 40 applications to understand Python programming. Each application is like a challenge problem divided into three layers of learning.<br>First, you are given a description of the program that you are expected to create.<br>Second, you are given a guide that will assist you in successfully coding your program.<br>Third, you are given a completed code, with comments, to highlight how to accomplish the end goal.</p>
        <h2>Key Features</h2><p>Grasp the fundamentals of computer science that are transferable across all programming languages * Learn how to import and work with Python libraries, such as Tkinter, Matplotlib, and Random * Get ready to write your own real-world Python programs</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/The-Art-of-Doing-Code-40-Challenging-Python-Programs-Today</p>
        <h2>About the Author</h2><h3>Michael Eramo</h3><p>Michael Eramo is a life-long learner, a self-taught programmer, and an experienced educator. He holds official bachelor's degrees in music, education, and physics and a master's in mathematics. He is also a Microsoft certified software developer.

He has years of experience as a high school physics teacher, computer science teacher, and college mathematics teacher. He is a part of the New York State Master-Teacher Program, a network of more than 800 outstanding public-school teachers throughout the state who share a passion for STEM learning and for collaborating with colleagues to inspire the next generation of STEM leaders.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Unit Overview:  Basic Data Types</h4><p></p><br><h4>3. Challenge Problem 1: Letter Counter App</h4><p></p><br><h4>4. Challenge Problem 2:  Miles Per Hour Conversion App</h4><p></p><br><h4>5. Challenge Problem 3:  Temperature Conversion App</h4><p></p><br><h4>6. Challenge Problem 4:  Right Triangle Solver App</h4><p></p><br><h4>7. Challenge Problem 5:  Multiplication/Exponentiation Table Program</h4><p></p><br><h4>8. Unit Overview:  Lists</h4><p></p><br><h4>9. Challenge Problem 6: Grade Sorter App</h4><p></p><br><h4>10. Challenge Problem 7:  Different Types of Lists Program</h4><p></p><br><h4>11. Challenge Problem 8:  Grocery List App</h4><p></p><br><h4>12. Challenge Problem 9:  Basketball Roster Program</h4><p></p><br><h4>13. Challenge Problem 10:  Favorite Teachers Program</h4><p></p><br><h4>14. Unit Overview: For Loops</h4><p></p><br><h4>15. Challenge Problem 11:  Binary Hexadecimal Conversion App</h4><p></p><br><h4>16. Problem 12:  Quadratic Equation Solver</h4><p></p><br><h4>17. Challenge Problem 13:  Factorial Calculator App</h4><p></p><br><h4>18. Challenge Problem 14:  Fibonacci Calculator App</h4><p></p><br><h4>19. Challenge Problem 15:  Grade Point Average Calculator App</h4><p></p><br><h4>20. Conditionals</h4><p></p><br><h4>21. Challenge Problem 16: Shipping Accounts Program</h4><p></p><br><h4>22. Challenge Problem 17:  Coin Toss App</h4><p></p><br><h4>23. Challenge Problem 18:  Voter Registration App</h4><p></p><br><h4>24. Challenge Problem 19:  Guess My Number App</h4><p></p><br><h4>25. Challenge Problem 20:  Rock, Paper, Scissors App</h4><p></p><br><h4>26. Unit Overview:  Dictionaries</h4><p></p><br><h4>27. Challenge Problem 21:  Thesaurus App</h4><p></p><br><h4>28. Challenge Problem 22:  Database Admin Program</h4><p></p><br><h4>29. Challenge Problem 23:  Yes No Polling App</h4><p></p><br><h4>30. Challenge Problem 24:  Frequency Analysis App</h4><p></p><br><h4>31. Challenge Problem 25:  Code Breakers App</h4><p></p><br><h4>32. Unit Overview:  While Loops</h4><p></p><br><h4>33. Challenge Problem 26:  Factor Generator App</h4><p></p><br><h4>34. Challenge Problem 27:  Even Odd Number Sorter App</h4><p></p><br><h4>35. Challenge Problem 28:  Prime Number App</h4><p></p><br><h4>36. Challenge Problem 29:  Guess the Word App</h4><p></p><br><h4>37. Challenge Problem 30:  Powerball Simulation App</h4><p></p><br><h4>38. Unit Overview:  Functions</h4><p></p><br><h4>39. Challenge Problem 31:  Python Dice App</h4><p></p><br><h4>40. Challenge Problem 32:  Python Calculator App</h4><p></p><br><h4>41. Challenge Problem 33:  Bank Deposit and Withdrawal Program</h4><p></p><br><h4>42. Challenge Problem 34: Head to Head Tic Tac Toe App</h4><p></p><br><h4>43. Challenge Problem 35:  Loan Calculator App</h4><p></p><br><h4>44. Unit Overview: Classes</h4><p></p><br><h4>45. Challenge Problem 36:  Pythonagachi Simulator App</h4><p></p><br><h4>46. Challenge Problem 37:  Casino Blackjack App</h4><p></p><br><h4>47. Challenge Problem 38:  Pykemon Simulator App</h4><p></p><br><h4>48. Challenge Problem 39:  Epidemic Outbreak Terminal App</h4><p></p><br><h4>49. Challenge Problem 40:  Epidemic Outbreak GUI App</h4><p></p>

Packt

Programming

Software Development

Through this course, you will learn to transform yourself from a passive learner who watches to one who sees the process of learning for what it truly is-a mechanism to better oneself. You will build 40 amazing applications to master the concepts of computer science and Python programming.

The Art of Doing: Code 40 Challenging Python Programs Today!

The Fundamentals of Effective Suggestion Therapy
Unlock the power of suggestion with our masterclass on the basics of good suggestion therapy. Designed for both beginners and seasoned practitioners, this course delves into the core principles that make suggestion therapy a potent tool for personal growth, healing, and behavioral change.
What You'll Learn:
Core Concepts and Laws of Suggestion: Understand the foundational laws that govern the effectiveness of suggestion, including the Law of Concentrated Attention, the Law of Auxiliary Emotion, and the Law of Reversed Effort. Learn how these principles can be applied to enhance your therapeutic practice.
Techniques for Crafting Powerful Suggestions: Discover the art of creating suggestions that resonate deeply with the subconscious mind. You'll explore how to tailor your language, tone, and delivery to maximize the impact of your suggestions, ensuring they align with your client’s goals and values.
Practical Application and Case Studies: Gain insights into real-world applications through case studies and practical examples. Learn how to apply suggestion therapy in various contexts, from overcoming phobias and anxiety to fostering positive habits and goal achievement.
Ethical Considerations and Client-Centered Approaches: Explore the ethical aspects of suggestion therapy, focusing on the importance of client autonomy and consent. Learn how to create a safe and supportive environment that empowers clients to embrace positive change.
Who Should Enroll:
This masterclass is perfect for therapists, counselors, coaches, and anyone interested in learning how to harness the power of suggestion to facilitate meaningful change. Whether you're new to the field or looking to deepen your existing knowledge, this course offers valuable insights and practical skills that you can immediately apply in your practice.
Join us for this transformative learning experience and start your journey towards mastering the art of good suggestion therapy.

The Northern College Of Clinical Hypnotherapy

Unlock the power of suggestion with our masterclass on the basics of good suggestion therapy. Designed for both beginners and seasoned practitioners, this course delves into the core principles that make suggestion therapy a potent tool for personal growth, healing, and behavioral change.

Suggestion therapy Masterclass F

<strong>This comprehensive deep learning course with Python will start with the basics and work up to advanced topics such as using different frameworks in Python to solve real-world problems and building artificial neural networks with TensorFlow and Keras. </strong>
        <p>Python is famed as one of the best programming languages for its flexibility. It works in almost all fields, from web development to developing financial applications. However, it's no secret that Python's best application is in deep learning and artificial intelligence (AI)  tasks.

You'll start with an introduction to deep learning where you'll focus on the fundamentals of the deep learning theory and find out how to use deep learning in Python, before moving on to artificial neural networks (ANNs). You'll learn how to use different frameworks in Python to solve real-world problems using deep learning and artificial intelligence. Next, you'll discover how to make predictions using linear regression, polynomial regression, and multivariate regression, and build artificial neural networks with TensorFlow and Keras. The video also covers convolutional neural networks (CNNs) at length and goes through the different components such as convolution layer, pooling layer, and fully connected layer. Finally, you'll wrap up CNN  implementation  in Python.

By the end of this course, you'll be able to use the concepts of deep learning to build neural networks in Python like a professional.</p>
        <h2>What You Will Learn</h2><p>Get to grips with the fundamentals of the deep learning theory<br>Discover how to use deep learning in Python<br>Find out how to use different frameworks in Python<br>Build artificial neural networks with TensorFlow and Keras<br>Explore the implementation of ANNs and CNNs in Python</p>
        <h2>Audience</h2><p>This course is for both programming beginners and professionals who want to expand on their knowledge of deep learning, or professional mathematicians looking to learn how to analyze data programmatically. Prerequisites include basic mathematical skills and Python coding experience.</p>
        <h2>Approach</h2><p>This fundamentals training is excellent for both newcomers and seasoned professionals. This is the best course for you if you're looking for one that starts with the fundamentals and progresses to more complex subjects. It does not teach anything but what is necessary to get started with deep learning. This is pretty much everything you need to get started with the topic, and it also helps to keep the course quite concise.</p>
        <h2>Key Features</h2><p>Fundamentals course designed for both beginners and experts alike * Use different frameworks in Python to solve real-world problems using deep learning and AI * Make predictions using linear regression, polynomial regression, and multivariate regression</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-for-Deep-Learning---Build-Neural-Networks-in-Python</p>
        <h2>About the Author</h2><h3>Meta Brains</h3><p>Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for finance, coding, and Excel. They bring together both professional and educational experiences to create world-class training programs accessible to everyone.

Currently, they're focused on the next great revolution in computing: The Metaverse. Their ultimate objective is to train the next generation of talent so that we can code and build the metaverse together!</p>
        <h2>Course Outline</h2><h4>1. Introduction to Deep Learning</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Introduction</p><p style='margin: 0'>In this video, we will have a quick introduction to the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Deep Learning?</p><p style='margin: 0'>In this video, we will understand what deep learning is.</p></td></tr><tr><td style='padding: 15px;'><p>3. Why is Deep Learning Important?</p><p style='margin: 0'>In this video, we will understand the importance of deep learning.</p></td></tr><tr><td style='padding: 15px;'><p>4. Software and Frameworks</p><p style='margin: 0'>In this video, you will learn about software and frameworks.</p></td></tr></tbody></table><br><h4>2. Artificial Neural Networks (ANN)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Introduction</p><p style='margin: 0'>In this video, we will have a quick introduction to this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Anatomy and Function of Neurons</p><p style='margin: 0'>In this video, you will learn about the anatomy and function of neurons.</p></td></tr><tr><td style='padding: 15px;'><p>3. An Introduction to The Neural Network</p><p style='margin: 0'>In this video, we will have a quick introduction to the neural network.</p></td></tr><tr><td style='padding: 15px;'><p>4. Architecture of a Neural Network</p><p style='margin: 0'>In this video, you will learn about the architecture of a neural network.</p></td></tr></tbody></table><br><h4>3. Propagation of Information in ANNs</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Feed-Forward and Back Propagation Networks</p><p style='margin: 0'>In this video, you will learn about feed-forward and back propagation networks.</p></td></tr><tr><td style='padding: 15px;'><p>2. Backpropagation in Neural Networks</p><p style='margin: 0'>In this video, you will learn about backpropagation in neural networks.</p></td></tr><tr><td style='padding: 15px;'><p>3. Minimizing the Cost Function Using Backpropagation</p><p style='margin: 0'>In this video, you will learn how to minimize the cost function using backpropagation.</p></td></tr></tbody></table><br><h4>4. Neural Network Architectures</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Single Layer Perceptron (SLP) Model</p><p style='margin: 0'>In this video, you will learn about the Single-layer perceptron (SLP) model.</p></td></tr><tr><td style='padding: 15px;'><p>2. Radial Basis Network (RBN)</p><p style='margin: 0'>In this video, you will learn about Radial Basis Network (RBN).</p></td></tr><tr><td style='padding: 15px;'><p>3. Multi-Layer Perceptron (MLP) Neural Network</p><p style='margin: 0'>In this video, you will learn about multi-layer perceptron (MLP) Neural Network.</p></td></tr><tr><td style='padding: 15px;'><p>4. Recurrent Neural Network (RNN)</p><p style='margin: 0'>In this video, you will learn about Recurrent Neural Network (RNN).</p></td></tr><tr><td style='padding: 15px;'><p>5. Long Short-Term Memory (LSTM) Networks</p><p style='margin: 0'>In this video, you will learn about Long Short-Term Memory (LSTM) networks.</p></td></tr><tr><td style='padding: 15px;'><p>6. Hopfield Neural Network</p><p style='margin: 0'>In this video, you will learn about Hopfield neural network.</p></td></tr><tr><td style='padding: 15px;'><p>7. Boltzmann Machine Neural Network</p><p style='margin: 0'>In this video, you will learn about Boltzmann Machine Neural Network.</p></td></tr></tbody></table><br><h4>5. Activation Functions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is the Activation Function?</p><p style='margin: 0'>In this video, we will understand what the Activation function is.</p></td></tr><tr><td style='padding: 15px;'><p>2. Important Terminologies</p><p style='margin: 0'>In this video, we will understand some important terminologies like differential function and monotonic function.</p></td></tr><tr><td style='padding: 15px;'><p>3. The Sigmoid Function</p><p style='margin: 0'>In this video, you will learn about the Sigmoid function.</p></td></tr><tr><td style='padding: 15px;'><p>4. Hyperbolic Tangent Function</p><p style='margin: 0'>In this video, you will learn about the Hyperbolic tangent function.</p></td></tr><tr><td style='padding: 15px;'><p>5. SoftMax Function</p><p style='margin: 0'>In this video, you will learn about the SoftMax function.</p></td></tr><tr><td style='padding: 15px;'><p>6. Rectified Linear Unit (ReLU) Function</p><p style='margin: 0'>In this video, you will learn about Rectified Linear Unit (ReLU) function.</p></td></tr><tr><td style='padding: 15px;'><p>7. Leaky Rectified Linear Unit function</p><p style='margin: 0'>In this video, you will learn about the Leaky Rectified Linear Unit function.</p></td></tr></tbody></table><br><h4>6. Gradient Descent Algorithm</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is Gradient Descent?</p><p style='margin: 0'>In this video, we will understand what Gradient Descent is.</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Stochastic Gradient Descent?</p><p style='margin: 0'>In this video, we will understand what is Stochastic Gradient Descent?</p></td></tr><tr><td style='padding: 15px;'><p>3. Gradient Descent versus Stochastic Gradient Descent</p><p style='margin: 0'>In this video, you will learn about Gradient Decent versus Stochastic Gradient Descent.</p></td></tr></tbody></table><br><h4>7. Summary - Overview of Neural Networks</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. How do Artificial Neural Networks Work?</p><p style='margin: 0'>In this video, we will understand how artificial neural networks work.</p></td></tr><tr><td style='padding: 15px;'><p>2. Advantages of Neural Networks</p><p style='margin: 0'>In this video, you will learn about the advantages of neural networks.</p></td></tr><tr><td style='padding: 15px;'><p>3. Disadvantages of Neural Networks</p><p style='margin: 0'>In this video, you will learn about the disadvantages of neural networks.</p></td></tr><tr><td style='padding: 15px;'><p>4. Applications of Neural Networks</p><p style='margin: 0'>In this video, you will learn about the applications of neural networks.</p></td></tr></tbody></table><br><h4>8. Implementation of ANN in Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, we will have a quick Introduction to this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Exploring the Dataset</p><p style='margin: 0'>In this video, you will learn how to explore the dataset.</p></td></tr><tr><td style='padding: 15px;'><p>3. Problem Statement</p><p style='margin: 0'>In this video, we will understand the problem statement.</p></td></tr><tr><td style='padding: 15px;'><p>4. Data Pre-Processing</p><p style='margin: 0'>In this video, you will learn how data pre-processing works.</p></td></tr><tr><td style='padding: 15px;'><p>5. Loading the Dataset</p><p style='margin: 0'>In this video, you will learn how to load the dataset.</p></td></tr><tr><td style='padding: 15px;'><p>6. Splitting the Dataset into Independent and Dependent Variables</p><p style='margin: 0'>In this video, you will learn how to split the dataset into independent and dependent variables.</p></td></tr><tr><td style='padding: 15px;'><p>7. Label Encoding Using Scikit-Learn</p><p style='margin: 0'>In this video, you will learn how to work with label encoding using scikit-learn</p></td></tr><tr><td style='padding: 15px;'><p>8. One-hot encoding using scikit-learn</p><p style='margin: 0'>In this video, we will learn how to work with One-hot encoding using scikit-learn.</p></td></tr><tr><td style='padding: 15px;'><p>9. Training and Test Sets: Splitting Data</p><p style='margin: 0'>In this video, we will be working on splitting the data with training and test sets.</p></td></tr><tr><td style='padding: 15px;'><p>10. Feature Scaling</p><p style='margin: 0'>In this video, you will learn about feature scaling.</p></td></tr><tr><td style='padding: 15px;'><p>11. Building the Artificial Neural Network</p><p style='margin: 0'>In this video, you will learn how to build the Artificial Neural Network</p></td></tr><tr><td style='padding: 15px;'><p>12. Adding the Input Layer and the First Hidden Layer</p><p style='margin: 0'>In this video, you will learn how to add the input layer and the first hidden layer.</p></td></tr><tr><td style='padding: 15px;'><p>13. Adding the Next Hidden Layer</p><p style='margin: 0'>In this video, you will learn how to add the next hidden layer.</p></td></tr><tr><td style='padding: 15px;'><p>14. Adding the Output Layer</p><p style='margin: 0'>In this video, you will learn how to add the output layer.</p></td></tr><tr><td style='padding: 15px;'><p>15. Compiling the Artificial Neural Network</p><p style='margin: 0'>In this video, you will learn how to compile the Artificial Neural Network.</p></td></tr><tr><td style='padding: 15px;'><p>16. Fitting the ANN Model to the Training Set</p><p style='margin: 0'>In this video, you will learn how to fit the ANN model into the training set.</p></td></tr><tr><td style='padding: 15px;'><p>17. Predicting the Test Set Results</p><p style='margin: 0'>In this video, you will learn how to predict the test set results.</p></td></tr></tbody></table><br><h4>9. Convolutional Neural Networks (CNN)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, we will have a quick Introduction to the learning goals for this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Components of Convolutional Neural Networks</p><p style='margin: 0'>In this video, you will learn about the components of Convolutional Neural Networks.</p></td></tr><tr><td style='padding: 15px;'><p>3. Convolution Layer</p><p style='margin: 0'>In this video, you will learn about the Convolution layer.</p></td></tr><tr><td style='padding: 15px;'><p>4. Pooling Layer</p><p style='margin: 0'>In this video, you will learn about Pooling layer.</p></td></tr><tr><td style='padding: 15px;'><p>5. Fully Connected Layer</p><p style='margin: 0'>In this video, you will learn about fully connected layer.</p></td></tr></tbody></table><br><h4>10. Implementation of CNN in Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Dataset</p><p style='margin: 0'>In this video, we are going to use the MNIST handwritten digit data which contains the images of handwritten digits.</p></td></tr><tr><td style='padding: 15px;'><p>2. Importing Libraries</p><p style='margin: 0'>In this video, you will learn how to import libraries.</p></td></tr><tr><td style='padding: 15px;'><p>3. Building the CNN Model</p><p style='margin: 0'>In this video, you will learn how to build the Convolutional Neural Networks (CNN) model.</p></td></tr><tr><td style='padding: 15px;'><p>4. Accuracy of the Model</p><p style='margin: 0'>In this video, you will learn about the accuracy of the Convolutional Neural Networks (CNN) model.</p></td></tr></tbody></table>

Data Science

TensorFlow

This comprehensive deep learning course with Python will start with the basics and work up to advanced topics such as using different frameworks in Python to solve real-world problems and building artificial neural networks with TensorFlow and Keras.

Python for Deep Learning - Build Neural Networks in Python

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>Collaboration Communications Systems Engineers are responsible for planning, deploying, configuring, maintaining, and troubleshooting Microsoft Teams Phone, meetings, and personal and shared space devices, including Microsoft Teams Rooms and Surface Hub.</p> <p>Collaboration Communications Systems Engineers have a fundamental understanding ofÃ¿networking, telecommunications, audio/visual and meeting room technologies, identity and access management.</p> <p>They are proficient in managing and monitoring Teams Phone, meetings, and certified devices using the Microsoft Teams admin center, PowerShell, the Microsoft Teams Rooms Pro Portal, and the Call Quality Dashboard. They deploy and configure Microsoft Teams Phone with PSTN connectivity through Microsoft Calling Plans, Operator Connect, Teams Phone Mobile, and Direct Routing.</p> <p>Collaboration Communications Systems Engineers work with Teams Administrators, Microsoft Identity and Access Administrators, and Microsoft 365Ã¿Administrators. In addition, they may work with owners of other workloads, including facilitiesÃ¿managers, network engineers, security engineers, device manufacturers, telephony providers, and Microsoft Certified solutions providers.</p><p></p><p></p><p>This training course is designed to give participants the knowledge and skills to become a Collaboration Communications Systems Engineer. Participants should understand the fundamentals of networking, telecommunications, audio/visual and meeting room technologies, identity and access management, and Microsoft Teams.</p> <p>They will gain hands-on experience configuring and deploying Microsoft Teams Phone, meetings and certified devices including Microsoft Teams Rooms and Surface Hub. The course will also cover how to manage and monitor Teams Phone, meetings, and certified devices using the Microsoft Teams admin center, PowerShell, the Microsoft Teams Rooms Pro Portal, and the Call Quality Dashboard.</p> <p>In addition, the course will cover configuring and deploying Microsoft Teams Phone with PSTN connectivity through Microsoft Calling Plans, Operator Connect, Teams Phone Mobile, and Direct Routing.</p><p></p>Prerequisites<p></p><ul> <li>Microsoft 365 and Microsoft Teams</li> <li>Networking, telecommunications, and audio/visual basics</li> <li>Identity and access management basics</li> </ul><p></p></div><div id="course-pills-2"><h3>1 - Introduction to Teams meetings and calling</h3> <ul> <li>Overview of Teams meetings and events</li> <li>Overview of Teams Phone</li> <li>Overview of auto attendants and call queues</li> <li>Overview of Teams devices</li> </ul> <h3>2 - Plan for Teams Phone</h3> <ul> <li>Plan to deploy Teams Phone</li> <li>Plan for Teams Phone PSTN connectivity</li> <li>Determine license requirements</li> <li>Plan for Teams Phone devices</li> <li>Plan and design Teams Phone features</li> <li>Plan for voicemail</li> </ul> <h3>3 - Plan for Microsoft Teams Rooms and Surface Hub</h3> <ul> <li>Determine license requirements for Microsoft Teams Rooms and shared devices</li> <li>Understand differences between Microsoft Teams Rooms on Android and Windows</li> <li>Understand Microsoft Teams Rooms on Surface Hub 2S</li> <li>Understand and plan Teams Room accessories, components, and peripherals</li> <li>Understand Teams Rooms management options</li> </ul> <h3>4 - Plan and optimize network performance for Teams media</h3> <ul> <li>Understand Teams network requirements</li> <li>Design network for media optimization</li> <li>Design and implement QoS</li> </ul> <h3>5 - Configure and deploy Teams Phone</h3> <ul> <li>Configure emergency calling for Teams Calling Plans</li> <li>Manage and configure Microsoft PSTN numbers</li> <li>Configure Operator Connect and Teams Phone Mobile</li> <li>Configure Teams Phone policies</li> <li>Create and manage Teams policies</li> <li>Configure Audio Conferencing</li> </ul> <h3>6 - Configure and deploy Teams Phone with Direct Routing</h3> <ul> <li>Design Direct Routing call flows</li> <li>Implement SIP trunking with Direct Routing</li> <li>Configure Emergency Calling for Direct Routing</li> <li>Extend Teams Direct Routing infrastructure</li> <li>Deploy and maintain a survivable branch appliance</li> </ul> <h3>7 - Extend Teams Phone with additional services</h3> <ul> <li>Understand how Teams interacts with additional services</li> <li>Configure compliance recording in Teams</li> <li>Configure and integrate a certified contact center in Teams</li> <li>Design and deploy voice bots in Teams</li> </ul> <h3>8 - Manage meetings and events experiences</h3> <ul> <li>Explore meetings and events in Microsoft Teams</li> <li>Configure meeting settings</li> <li>Create and manage meeting policies</li> <li>Configure audio conferencing</li> <li>Create and manage meeting templates and template policies</li> <li>Create and manage meetings customization policies</li> <li>Configure live events settings</li> <li>Create and manage live events policies</li> <li>Examine live events across Microsoft 365</li> </ul> <h3>9 - Guided project - Create and assign Teams policies to meet business requirements in Microsoft Teams</h3> <ul> <li>Prepare</li> </ul> <h3>10 - Configure and manage voice users</h3> <ul> <li>Enable users for Teams Phone</li> <li>Enable users for Direct Routing with Teams Phone</li> <li>Enable additional calling features for Teams Phone</li> <li>Enable users for Teams Phone Mobile</li> </ul> <h3>11 - Configure auto attendants and call queues</h3> <ul> <li>Design call flows for auto attendants and call queues</li> <li>Configure auto attendants and call queues</li> <li>Deploy a channel-based call queue</li> <li>Configure resource accounts</li> <li>Configure Microsoft 365 groups for voicemail</li> <li>Interpret call queue conference modes</li> <li>Interpret call queue routing methods</li> <li>Configure holidays for auto attendants and call queues</li> <li>Configure custom music on hold</li> </ul> <h3>12 - Configure, deploy, and manage Teams devices</h3> <ul> <li>Manage Microsoft Teams Phones</li> <li>Manage Microsoft Teams Room Systems</li> <li>Microsoft Teams Rooms management options</li> <li>Manage Surface Hub 2S devices</li> <li>Configure Microsoft Teams SIP gateway</li> <li>Manage Microsoft Teams displays</li> <li>Remote provisioning and sign in for Teams Phones</li> <li>Update Microsoft Teams devices remotely</li> <li>Manage Microsoft Teams device tags</li> </ul> <h3>13 - Guided project - Prepare meeting room experiences</h3> <ul> <li>Prepare</li> </ul> <h3>14 - Monitor and troubleshoot Teams collaboration communications systems</h3> <ul> <li>Diagnose and troubleshoot phone number assignment</li> <li>Diagnose and troubleshoot Teams client issues</li> <li>Diagnose and troubleshoot call failure and call quality issues</li> <li>Report on and troubleshoot Teams calls with Call Quality Dashboard</li> <li>Diagnose and troubleshoot Direct Routing issues</li> <li>Troubleshoot and monitor Teams devices</li> <li>Troubleshoot Teams meetings and calling</li> <li>Troubleshoot Teams Rooms devices</li> </ul></div>

Nexus Human

Microsoft Teams

Microsoft Certification

Microsoft Certified Trainer (MCT)

Microsoft AZ-303

Microsoft AZ-700

Clinical Engineer

MS-721T00 Collaboration Communications Systems Engineer

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>The CCSP is ideal for IT and information security leaders responsible for applying best practices to cloud security architecture, design, operations and service orchestration.</p>Overview<p>Upon completing this course, the participants will gain valuable knowledge and skills including the ability to: - Successfully pass the CCSP exam. - Understand the fundamentals of the cloud computing architecture framework. - Understand security challenges associated with different types of cloud services. - Identify and evaluate security risks for their organization?s cloud environments. - Select and implement appropriate controls to ensure secure implementation of cloud services. - Thoroughly understand the 6 essential core domains of the CCSP common body of knowledge:  1. Architectural Concepts &amp; Design Requirements 2. Cloud Data Security  3. Cloud Platform &amp; Infrastructure Security  4. Cloud Application Security  5. Operations  6. Legal &amp; Compliance</p><p>The goal of the course is to prepare professionals for the challenging CCSP exam by covering the objectives of the exam based on the six domains as defined in the (ISC)2 CCSP common body of knowledge.</p></div><div id="course-pills-2"><h3>1 - Architectural Concepts and Design Requirements</h3> <ul> <li>Cloud Computing Concepts</li> <li>Cloud Reference Architecture</li> <li>Cloud Computing Security Concepts</li> <li>Design Principles of Secure Cloud Computing</li> <li>Trusted Cloud Services</li> </ul> <h3>2 - Cloud Data Security</h3> <ul> <li>CSA (Cloud Security Alliance) Cloud Data Lifecycle</li> <li>Cloud Data Storage Architectures</li> <li>Data Security Strategies</li> <li>Data Discovery and Classification Technologies</li> <li>Protecting Privacy and PII (Personally Identifiable Information)</li> <li>Data Rights Management</li> <li>Data Retention, Deletion, and Archiving Policies</li> <li>Auditability, Traceability, and Accountability of Data Events</li> </ul> <h3>3 - Cloud Platform and Infrastructure Security</h3> <ul> <li>Cloud Infrastructure Components</li> <li>Cloud Infrastructure Risks</li> <li>Designing and Planning Security Controls</li> <li>Disaster Recovery and Business Continuity Management</li> </ul> <h3>4 - Cloud Application Security</h3> <ul> <li>The Need for Security Awareness and Training in application Security</li> <li>Cloud Software Assurance and Validation</li> <li>Verified Secure Software</li> <li>SDLC (Software Development Life Cycle) Process</li> <li>Secure SDLC</li> <li>Specifics of Cloud Application Architecture</li> <li>Secure IAM (Identity and Access Management) Solutions</li> </ul> <h3>5 - Operations</h3> <ul> <li>Planning Process for the Data Center Design</li> <li>Installation and Configuration of Physical Infrastructure for Cloud Environment</li> <li>Running Physical Infrastructure for Cloud Environment</li> <li>Managing Physical Infrastructure for Cloud Environment</li> <li>Installation and Configuration of Logical Infrastructure for Cloud Environment</li> <li>Running Logical Infrastructure for Cloud Environment</li> <li>Managing Logical Infrastructure for Cloud Environment</li> <li>Compliance with Regulations and Controls</li> <li>Risk Assessment for Logical and Physical Infrastructure</li> <li>Collection, Acquisition, and Preservation of Digital Evidence</li> <li>Managing Communication with Stakeholders</li> </ul> <h3>6 - Legal and Compliance</h3> <ul> <li>Legal Requirements and Unique Risks within the Cloud Environment</li> <li>Relevant Privacy and PII Laws and Regulations</li> <li>Audit Process, Methodologies, and Required Adaptions for a Cloud Environment</li> <li>Implications of Cloud to Enterprise Risk Management</li> <li>Outsourcing and Cloud Contract Design</li> <li>Vendor Management</li> </ul></div>

Certified in Cybersecurity (CC)

Certificate in Information Security Management Principles (CISMP)

Certified Cloud Security Professional (CCSP)

AWS Certified Cloud Practitioner

Certified Cyber Professional (CCP)

Cissp

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>The primary audience for this course is people who are moving into a database role, or whose role has expanded to include database technologies. Developers that deliver content from SQL Server databases will also benefit from this material.</p>Overview<p>After completing this course, you will be able to:<br />Describe key database concepts in the context of SQL Server<br />Describe database languages used in SQL Server<br />Describe data modelling techniques<br />Describe normalization and denormalization techniques<br />Describe relationship types and effects in database design<br />Describe the effects of database design on performance<br />Describe commonly used database objects</p><p>This course is provided as an introductory class for anyone getting started with databases. It will be useful to programmers and other IT professionals whose job roles are expanding into database management. Students will learn fundamental database concepts through demonstrations and hands-on labs on a SQL Server instance.<br />This material updates and replaces course Microsoft course 10985 which was previously published under the same title.</p></div><div id="course-pills-2"><h4>Module 1: Introduction to databases</h4><ul><li>Introduction to Relational Databases</li><li>Other Databases and Storage</li><li>Data Analysis</li><li>SQL Server Database Languages</li></ul><h4>Module 2: Data Modeling</h4><ul><li>Data Modelling</li><li>Designing a Database</li><li>Relationship Modeling</li></ul><h4>Module 3: Normalization</h4><ul><li>Fundamentals of Normalization</li><li>Normal Form</li><li>Denormalization</li></ul><h4>Module 4: Relationships</h4><ul><li>Introduction to Relationships</li><li>Planning Referential Integrity</li></ul><h4>Module 5: Performance</h4><ul><li>Indexing</li><li>Query Performance</li><li>Concurrency</li></ul><h4>Module 6: Database Objects</h4><ul><li>Tables</li><li>Views</li><li>Stored Procedures, Triggers and Functions</li></ul></div>

Microsoft SQL Server

Microsoft SQL

AWS Certified Database

SQL Server

Trainers Course

Database Administration

55315: Introduction to SQL Databases

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><b data-stringify-type="bold" fr-original-style=" color: rgb(209, 210, 211);" style="color: rgb(209, 210, 211); box-sizing: border-box;" id="isPasted"><span fr-original-style="color: rgb(0, 0, 0);" style="color: rgb(0, 0, 0); box-sizing: border-box;">Welcome to Fundamentals of Accounting for Business Success. In this course, you&#39;ll learn:</span></b></p><ol style="color: rgb(249, 249, 249); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(249, 249, 249);"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Introduction to Accounting:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Definition and scope of accounting</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Historical development and evolution</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Importance of accounting in business</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Who are Accountants:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Roles and responsibilities of accountants</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Professional ethics and standards</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Different types of accountants and their functions</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">The Accounting System:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Double-entry accounting</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Accounting principles and concepts</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Recording transactions and the accounting cycle</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">What are Financial Statements:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Income statement, balance sheet, and cash flow statement</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Purpose and significance of financial statements</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Preparation and interpretation of financial statements</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Introduction to Financial Statement Analysis:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Ratio analysis and its applications</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Vertical and horizontal analysis</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Evaluating financial health and performance</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Budgeting and Its Importance:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Budgeting as a planning tool</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Types of budgets (operating, financial, master)</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Budgetary control and variance analysis</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Financial Markets and Bonds:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Overview of financial markets</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Introduction to bond markets</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Role of bonds in corporate finance</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Dealing with Financial Risk Management:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Identifying financial risks</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Risk management strategies</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Derivatives and their role in risk mitigation</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Investment Management and Analysis:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Principles of investment</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Portfolio management</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Risk and return analysis</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Auditing and Risk of Frauds:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Purpose and types of audits</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Fraud detection and prevention</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Ethical considerations in auditing</li></ul></li></ol>

John Academy

Financial Management

Advanced Financial Management (AFM)

Master the essentials of accounting for business triumph with our comprehensive course. Explore financial statements, budgeting, risk management, and investment analysis. Uncover the role of accountants, delve into auditing, and fortify your knowledge in ethical financial practices. Elevate your skills for a successful career in today's dynamic business world.

Fundamentals of Accounting for Business Success

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p></p><p>The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.</p><p></p>Overview<p>Describe core data concepts Identify considerations for relational data on Azure Describe considerations for working with non-relational data on Azure Describe an analytics workload on Azure</p><p></p><p>In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization.</p><p></p></div><div id="course-pills-2"><h3>1 - Explore core data concepts</h3> <ul> <li>Identify data formats</li> <li>Explore file storage</li> <li>Explore databases</li> <li>Explore transactional data processing</li> <li>Explore analytical data processing</li> </ul> <h3>2 - Explore data roles and services</h3> <ul> <li>Explore job roles in the world of data</li> <li>Identify data services</li> </ul> <h3>3 - Explore fundamental relational data concepts</h3> <ul> <li>Understand relational data</li> <li>Understand normalization</li> <li>Explore SQL</li> <li>Describe database objects</li> </ul> <h3>4 - Explore relational database services in Azure</h3> <ul> <li>Describe Azure SQL services and capabilities</li> <li>Describe Azure services for open-source databases</li> </ul> <h3>5 - Explore Azure Storage for non-relational data</h3> <ul> <li>Explore Azure blob storage</li> <li>Explore Azure DataLake Storage Gen2</li> <li>Explore Azure Files</li> <li>Explore Azure Tables</li> </ul> <h3>6 - Explore fundamentals of Azure Cosmos DB</h3> <ul> <li>Describe Azure Cosmos DB</li> <li>Identify Azure Cosmos DB APIs</li> </ul> <h3>7 - Explore fundamentals of large-scale data warehousing</h3> <ul> <li>Describe data warehousing architecture</li> <li>Explore data ingestion pipelines</li> <li>Explore analytical data stores</li> </ul> <h3>8 - Explore fundamentals of real-time analytics</h3> <ul> <li>Understand batch and stream processing</li> <li>Explore common elements of stream processing architecture</li> <li>Explore Azure Stream Analytics</li> <li>Explore Apache Spark on Microsoft Azure</li> </ul> <h3>9 - Explore fundamentals of data visualization</h3> <ul> <li>Describe Power BI tools and workflow</li> <li>Describe core concepts of data modeling</li> <li>Describe considerations for data visualization</li> </ul></div>

Azure SQL Database

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

DP-900T00 Microsoft Azure Data Fundamentals

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>Individuals in various job roles who are involved in leading, managing, and participating in small to medium scale projects.</p>Overview<p>Upon successful completion of this course, students will be able to:  Identify the fundamentals of project management.  Perform the pre-project setup.  Initiate a project.  Plan project strategies.  Develop project schedules.  Plan project staffing, communication, and quality.  Plan project risk management.  Plan project costs.  Plan project procurements.  Plan for change management and transitions.  Manage project execution.  Manage project procurement.  Control project performance.  Monitor and control the triple constraints.  Monitor project risks and procurements.  Perform the project closure processes.</p><p>In this course, students will apply recognized practices of project management and understand a project?s life cycle and roles and skills necessary to effectively initiate, plan, execute, monitor and control, and close a project.</p></div><div id="course-pills-2"><h3>1 - Exploring Project Management Fundamentals</h3> <ul> <li>Examine the Basics of Project Management</li> <li>Describe the Project Life Cycle</li> <li>Examine Organizational Influences on Project Management</li> </ul> <h3>2 - Performing the Pre-Project Setup</h3> <ul> <li>Create a Project Concept Definition Statement</li> <li>Examine Project Selection</li> <li>Determine Strategic and Operational Relevance</li> <li>Perform Project Feasibility</li> <li>Determine Technical Requirements</li> </ul> <h3>3 - Initiating a Project</h3> <ul> <li>Prepare a Project Statement of Work</li> <li>Create a Project Charter</li> <li>Identify Project Stakeholders</li> </ul> <h3>4 - Planning Project Strategy</h3> <ul> <li>Identify Elements of the Project Management Plan and Subsidiary Plans</li> <li>Determine Stakeholder Needs</li> <li>Create a Scope Statement</li> <li>Develop a Work Breakdown Structure</li> </ul> <h3>5 - Developing the Project Schedule</h3> <ul> <li>Create an Activity List</li> <li>Create a Project Schedule Network Diagram</li> <li>Identify Resources</li> <li>Estimate Time</li> <li>Develop a Project Schedule</li> <li>Identify the Critical Path</li> <li>Optimize the Project Schedule</li> <li>Create a Schedule Baseline</li> </ul> <h3>6 - Planning Human Resources, Communication, and Quality</h3> <ul> <li>Create a Human Resource Plan</li> <li>Create a Communications Management Plan</li> <li>Create a Quality Management Plan</li> </ul> <h3>7 - Planning Project Risk Management</h3> <ul> <li>Examine a Risk Management Plan</li> <li>Identify Project Risks and Triggers</li> <li>Perform Qualitative Risk Analysis</li> <li>Perform Quantitative Risk Analysis</li> <li>Develop a Risk Response Plan</li> </ul> <h3>8 - Planning Project Costs</h3> <ul> <li>Estimate Project Costs</li> <li>Estimate the Cost Baseline</li> <li>Reconcile Funding and Costs</li> </ul> <h3>9 - Planning Project Procurements</h3> <ul> <li>Plan Project Procurements</li> <li>Prepare a Procurement Statement of Work</li> <li>Prepare a Procurement Document</li> </ul> <h3>10 - Planning for Change Management and Transitions</h3> <ul> <li>Develop an Integrated Change Control System</li> <li>Develop a Transition Plan</li> </ul> <h3>11 - Managing Project Execution</h3> <ul> <li>Direct Project Execution</li> <li>Execute a Quality Assurance Plan</li> <li>Assemble a Project Team</li> <li>Develop a Project Team</li> <li>Manage a Project Team</li> <li>Distribute Project Information</li> <li>Manage Stakeholder Relationships and Expectations</li> </ul> <h3>12 - Managing Project Procurement</h3> <ul> <li>Obtain Responses from Sellers</li> <li>Determine Project Sellers</li> </ul> <h3>13 - Control Project Performance</h3> <ul> <li>Monitor and Control Project Work</li> <li>Manage Project Changes</li> <li>Report on Project Performance</li> </ul> <h3>14 - Monitor and Control the Triple Constraints</h3> <ul> <li>Control Project Scope</li> <li>Control Project Schedule</li> <li>Control Project Costs</li> <li>Manage Project Quality</li> </ul> <h3>15 - Monitoring Project Risks and Procurements</h3> <ul> <li>Control Project Risks</li> <li>Managing Vendors and Procurements</li> </ul> <h3>16 - Performing the Project Closure Processes</h3> <ul> <li>Deliver the Final Product</li> <li>Close Project Procurements</li> <li>Conduct a Closeout Meeting</li> <li>Close a Project</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans CompTIA Project Plus Certification (Exam PK0-005) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the CompTIA Project Plus Certification (Exam PK0-005) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Certificate in Teaching Program (CTP)

CompTIA Network+

Project Management Professional (PMP)

Project Management

CompTIA A+

CompTIA Security+

CompTIA Project+

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure.</p><p></p><p></p><p>AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language.</p><p></p>Prerequisites<p>Before attending this course, students must have:  </p><li>Knowledge of Microsoft Azure and ability to navigate the Azure portal  </li><li>Knowledge of either C# or Python  </li><li>Familiarity with JSON and REST programming semantics  <br />  Recommended course prerequisites  </li><li>AI-900T00: Microsoft Azure AI Fundamentals course<p></p></li></div><div id="course-pills-2"><h3>1 - Prepare to develop AI solutions on Azure</h3> <ul> <li>Define artificial intelligence</li> <li>Understand AI-related terms</li> <li>Understand considerations for AI Engineers</li> <li>Understand considerations for responsible AI</li> <li>Understand capabilities of Azure Machine Learning</li> <li>Understand capabilities of Azure AI Services</li> <li>Understand capabilities of the Azure Bot Service</li> <li>Understand capabilities of Azure Cognitive Search</li> </ul> <h3>2 - Create and consume Azure AI services</h3> <ul> <li>Provision an Azure AI services resource</li> <li>Identify endpoints and keys</li> <li>Use a REST API</li> <li>Use an SDK</li> </ul> <h3>3 - Secure Azure AI services</h3> <ul> <li>Consider authentication</li> <li>Implement network security</li> </ul> <h3>4 - Monitor Azure AI services</h3> <ul> <li>Monitor cost</li> <li>Create alerts</li> <li>View metrics</li> <li>Manage diagnostic logging</li> </ul> <h3>5 - Deploy Azure AI services in containers</h3> <ul> <li>Understand containers</li> <li>Use Azure AI services containers</li> </ul> <h3>6 - Analyze images</h3> <ul> <li>Provision an Azure AI Vision resource</li> <li>Analyze an image</li> <li>Generate a smart-cropped thumbnail</li> </ul> <h3>7 - Classify images</h3> <ul> <li>Provision Azure resources for Azure AI Custom Vision</li> <li>Understand image classification</li> <li>Train an image classifier</li> </ul> <h3>8 - Detect, analyze, and recognize faces</h3> <ul> <li>Identify options for face detection analysis and identification</li> <li>Understand considerations for face analysis</li> <li>Detect faces with the Azure AI Vision service</li> <li>Understand capabilities of the face service</li> <li>Compare and match detected faces</li> <li>Implement facial recognition</li> </ul> <h3>9 - Read Text in images and documents with the Azure AI Vision Service</h3> <ul> <li>Explore Azure AI Vision options for reading text</li> <li>Use the Read API</li> </ul> <h3>10 - Analyze video</h3> <ul> <li>Understand Azure Video Indexer capabilities</li> <li>Extract custom insights</li> <li>Use Video Analyzer widgets and APIs</li> </ul> <h3>11 - Analyze text with Azure AI Language</h3> <ul> <li>Provision an Azure AI Language resource</li> <li>Detect language</li> <li>Extract key phrases</li> <li>Analyze sentiment</li> <li>Extract entities</li> <li>Extract linked entities</li> </ul> <h3>12 - Build a question answering solution</h3> <ul> <li>Understand question answering</li> <li>Compare question answering to Azure AI Language understanding</li> <li>Create a knowledge base</li> <li>Implement multi-turn conversation</li> <li>Test and publish a knowledge base</li> <li>Use a knowledge base</li> <li>Improve question answering performance</li> </ul> <h3>13 - Build a conversational language understanding model</h3> <ul> <li>Understand prebuilt capabilities of the Azure AI Language service</li> <li>Understand resources for building a conversational language understanding model</li> <li>Define intents, utterances, and entities</li> <li>Use patterns to differentiate similar utterances</li> <li>Use pre-built entity components</li> <li>Train, test, publish, and review a conversational language understanding model</li> </ul> <h3>14 - Create a custom text classification solution</h3> <ul> <li>Understand types of classification projects</li> <li>Understand how to build text classification projects</li> </ul> <h3>15 - Create a custom named entity extraction solution</h3> <ul> <li>Understand custom named entity recognition</li> <li>Label your data</li> <li>Train and evaluate your model</li> </ul> <h3>16 - Translate text with Azure AI Translator service</h3> <ul> <li>Provision an Azure AI Translator resource</li> <li>Specify translation options</li> <li>Define custom translations</li> </ul> <h3>17 - Create speech-enabled apps with Azure AI services</h3> <ul> <li>Provision an Azure resource for speech</li> <li>Use the Azure AI Speech to Text API</li> <li>Use the text to speech API</li> <li>Configure audio format and voices</li> <li>Use Speech Synthesis Markup Language</li> </ul> <h3>18 - Translate speech with the Azure AI Speech service</h3> <ul> <li>Provision an Azure resource for speech translation</li> <li>Translate speech to text</li> <li>Synthesize translations</li> </ul> <h3>19 - Create an Azure AI Search solution</h3> <ul> <li>Manage capacity</li> <li>Understand search components</li> <li>Understand the indexing process</li> <li>Search an index</li> <li>Apply filtering and sorting</li> <li>Enhance the index</li> </ul> <h3>20 - Create a custom skill for Azure AI Search</h3> <ul> <li>Create a custom skill</li> <li>Add a custom skill to a skillset</li> </ul> <h3>21 - Create a knowledge store with Azure AI Search</h3> <ul> <li>Define projections</li> <li>Define a knowledge store</li> </ul> <h3>22 - Plan an Azure AI Document Intelligence solution</h3> <ul> <li>Understand AI Document Intelligence</li> <li>Plan Azure AI Document Intelligence resources</li> <li>Choose a model type</li> </ul> <h3>23 - Use prebuilt Azure AI Document Intelligence models</h3> <ul> <li>Understand prebuilt models</li> <li>Use the General Document, Read, and Layout models</li> <li>Use financial, ID, and tax models</li> </ul> <h3>24 - Extract data from forms with Azure Document Intelligence</h3> <ul> <li>What is Azure Document Intelligence?</li> <li>Get started with Azure Document Intelligence</li> <li>Train custom models</li> <li>Use Azure Document Intelligence models</li> <li>Use the Azure Document Intelligence Studio</li> </ul> <h3>25 - Get started with Azure OpenAI Service</h3> <ul> <li>Access Azure OpenAI Service</li> <li>Use Azure OpenAI Studio</li> <li>Explore types of generative AI models</li> <li>Deploy generative AI models</li> <li>Use prompts to get completions from models</li> <li>Test models in Azure OpenAI Studio's playgrounds</li> </ul> <h3>26 - Build natural language solutions with Azure OpenAI Service</h3> <ul> <li>Integrate Azure OpenAI into your app</li> <li>Use Azure OpenAI REST API</li> <li>Use Azure OpenAI SDK</li> </ul> <h3>27 - Apply prompt engineering with Azure OpenAI Service</h3> <ul> <li>Understand prompt engineering</li> <li>Write more effective prompts</li> <li>Provide context to improve accuracy</li> </ul> <h3>28 - Generate code with Azure OpenAI Service</h3> <ul> <li>Construct code from natural language</li> <li>Complete code and assist the development process</li> <li>Fix bugs and improve your code</li> </ul> <h3>29 - Generate images with Azure OpenAI Service</h3> <ul> <li>What is DALL-E?</li> <li>Explore DALL-E in Azure OpenAI Studio</li> <li>Use the Azure OpenAI REST API to consume DALL-E models</li> </ul> <h3>30 - Use your own data with Azure OpenAI Service</h3> <ul> <li>Understand how to use your own data</li> <li>Add your own data source</li> <li>Chat with your model using your own data</li> </ul> <h3>31 - Fundamentals of Responsible Generative AI</h3> <ul> <li>Plan a responsible generative AI solution</li> <li>Identify potential harms</li> <li>Measure potential harms</li> <li>Mitigate potential harms</li> <li>Operate a responsible generative AI solution</li> </ul></div>

Azure Machine Learning

Microsoft AI-900

Azure Cognitive Services

AI-102T00 Designing and Implementing an Azure AI Solution

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p></p><p>The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.</p><p></p><p></p><p>This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. </p><p></p>Prerequisites<p>Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services.   Specifically:  </p><ul> <li>Experience using computers and the internet.</li> <li>Interest in use cases for AI applications and machine learning models. </li> <li>A willingness to learn through hands-on exp...</li><p></p></ul></div><div id="course-pills-2"><h3>1 - Fundamental AI Concepts</h3> <ul> <li>Understand machine learning</li> <li>Understand computer vision</li> <li>Understand natural language processing</li> <li>Understand document intelligence and knowledge mining</li> <li>Understand generative AI</li> <li>Challenges and risks with AI</li> <li>Understand Responsible AI</li> </ul> <h3>2 - Fundamentals of machine learning</h3> <ul> <li>What is machine learning?</li> <li>Types of machine learning</li> <li>Regression</li> <li>Binary classification</li> <li>Multiclass classification</li> <li>Clustering</li> <li>Deep learning</li> <li>Azure Machine Learning</li> </ul> <h3>3 - Fundamentals of Azure AI services</h3> <ul> <li>AI services on the Azure platform</li> <li>Create Azure AI service resources</li> <li>Use Azure AI services</li> <li>Understand authentication for Azure AI services</li> </ul> <h3>4 - Fundamentals of Computer Vision</h3> <ul> <li>Images and image processing</li> <li>Machine learning for computer vision</li> <li>Azure AI Vision</li> </ul> <h3>5 - Fundamentals of Facial Recognition</h3> <ul> <li>Understand Face analysis</li> <li>Get started with Face analysis on Azure</li> </ul> <h3>6 - Fundamentals of optical character recognition</h3> <ul> <li>Get started with Vision Studio on Azure</li> </ul> <h3>7 - Fundamentals of Text Analysis with the Language Service</h3> <ul> <li>Understand Text Analytics</li> <li>Get started with text analysis</li> </ul> <h3>8 - Fundamentals of question answering with the Language Service</h3> <ul> <li>Understand question answering</li> <li>Get started with the Language service and Azure Bot Service</li> </ul> <h3>9 - Fundamentals of conversational language understanding</h3> <ul> <li>Describe conversational language understanding</li> <li>Get started with conversational language understanding in Azure</li> </ul> <h3>10 - Fundamentals of Azure AI Speech</h3> <ul> <li>Understand speech recognition and synthesis</li> <li>Get started with speech on Azure</li> </ul> <h3>11 - Fundamentals of Azure AI Document Intelligence</h3> <ul> <li>Explore capabilities of document intelligence</li> <li>Get started with receipt analysis on Azure</li> </ul> <h3>12 - Fundamentals of Knowledge Mining with Azure Cognitive Search</h3> <ul> <li>What is Azure Cognitive Search?</li> <li>Identify elements of a search solution</li> <li>Use a skillset to define an enrichment pipeline</li> <li>Understand indexes</li> <li>Use an indexer to build an index</li> <li>Persist enriched data in a knowledge store</li> <li>Create an index in the Azure portal</li> <li>Query data in an Azure Cognitive Search index</li> </ul> <h3>13 - Fundamentals of Generative AI</h3> <ul> <li>What is generative AI?</li> <li>Large language models</li> <li>What is Azure OpenAI?</li> <li>What are copilots?</li> <li>Improve generative AI responses with prompt engineering</li> </ul> <h3>14 - Fundamentals of Azure OpenAI Service</h3> <ul> <li>What is generative AI</li> <li>Describe Azure OpenAI</li> <li>How to use Azure OpenAI</li> <li>Understand OpenAI's natural language capabilities</li> <li>Understand OpenAI code generation capabilities</li> <li>Understand OpenAI's image generation capabilities</li> <li>Describe Azure OpenAI's access and responsible AI policies</li> </ul> <h3>15 - Fundamentals of Responsible Generative AI</h3> <ul> <li>Plan a responsible generative AI solution</li> <li>Identify potential harms</li> <li>Measure potential harms</li> <li>Mitigate potential harms</li> <li>Operate a responsible generative AI solution</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the AI-900T00 - Microsoft Azure AI Fundamentals course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

AI-900T00 Microsoft Azure AI Fundamentals

Glasgow

Belfast

<div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0); font-size: 16px; box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(0, 0, 0); font-size: 16px;">This qualification is aimed at learners who wish to work in an unsupervised capacity; planning, instructing and evaluating a safe and effective Pilates session.</span><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong style="color: rgb(235, 92, 35); font-weight: 700; box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(235, 92, 35);">Qualification Structure:</strong></span></p><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Unit 1: Providing a positive customer experience in the exercise environment</span><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Unit 2: Lifestyle Management and Health Awareness</span></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Unit 3: Applied Anatomy and Physiology</span></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Unit 4: Principles of Planning and Delivering Group Exercise</span></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Unit 5: Principles and Fundamentals of Pilates</span></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Unit 6: Plan and deliver a Pilates Session</span></p><div fr-original-style="" style="box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong style="color: rgb(235, 92, 35); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: rgb(235, 92, 35);"><br fr-original-style="" style="box-sizing: border-box;"></strong></span></div><div fr-original-style="" style="box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong style="color: rgb(235, 92, 35); font-weight: 700; box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(235, 92, 35);">Entry Requirements:</strong></span></div><div fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); font-size: 16px; box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(0, 0, 0); font-size: 16px;">Learners need to be 16 or above to complete this qualification. YMCA Awards recommend learners&nbsp;</span><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"></span><span style="color: rgb(0, 0, 0); font-size: 16px; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-size: 16px;">have a basic understanding of anatomy and physiology.</span><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></div><div fr-original-style="" style="box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><br fr-original-style="" style="box-sizing: border-box;"></span></div><div id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;"><strong style="color: rgb(235, 92, 35); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: rgb(235, 92, 35);">Assessments:</strong></span></div><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Learner Assessment Record</span></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Assessment Workbook</span></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Multiple Choice Theory paper (external)</span></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Practical examination</span></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Portfolio of evidence</span></p></div><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></div>

This qualification is aimed at learners who wish to work in an unsupervised capacity; planning, instructing and evaluating a safe and effective Pilates session.

Qualification Structure:
Unit 1: Providing a positive customer experience in the exercise environment
Unit 2: Lifestyle Management and Health Awareness
Unit 3: Applied Anatomy and Physiology
Unit 4: Principles of Planning and Delivering Group Exercise
Unit 5: Principles and Fundamentals of Pilates
Unit 6: Plan and deliver a Pilates Session
Entry Requirements:Learners need to be 16 or above to complete this qualification. YMCA Awards recommend learners have a basic understanding of anatomy and physiology.
Assessments:
Learner Assessment Record
Assessment Workbook
Multiple Choice Theory paper (external)
Practical examination
Portfolio of evidence

Platinum Training Institute

Pilates

This qualification is aimed at learners who wish to work in an unsupervised capacity; planning, instructing and evaluating a safe and effective Pilates session.

YMCA Level 3 Diploma in Teaching Pilates

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>The C|CT is ideal for anyone looking to start their career in cybersecurity or add a strong foundational understanding of the cybersecurity concepts and techniques required to be effective on the job. The course is especially well suited to:<br />Early-career IT professionals, IT managers, career changers, and career advancers<br />Students and recent graduates</p>Overview<p>After completing this course, you will understand:<br />Key concepts in cybersecurity, including information security and network security<br />Information security threats, vulnerabilities, and attacks<br />The different types of malware<br />Identification, authentication, and authorization<br />Network security controls<br />Network security assessment techniques and tools (threat hunting, threat intelligence, vulnerability<br />assessment, ethical hacking, penetration testing, configuration and asset management)<br />Application security design and testing techniques<br />Fundamentals of virtualization, cloud computing, and cloud security<br />Wireless network fundamentals, wireless encryption, and related security measures<br />Fundamentals of mobile, IoT, and OT devices and related security measures<br />Cryptography and public-key infrastructure<br />Data security controls, data backup and retention methods, and data loss prevention techniques<br />Network troubleshooting, traffic and log monitoring, and analysis of suspicious traffic<br />The incident handling and response process<br />Computer forensics and digital evidence fundamentals, including the phases of a forensic investigation<br />Concepts in business continuity and disaster recovery<br />Risk management concepts, phases, and frameworks</p><p>EC-Council?s C|CT certification immerses students in well-constructed knowledge transfer. Training is accompanied by critical thinking challenges and immersive lab experiences that allow candidates to  apply their knowledge and move into the skill development phase in the class itself. Upon completing  the program, C|CT-certified professionals will have a strong foundation in cybersecurity principles  and techniques as well as hands-on exposure to the tasks required in real-world jobs. <br /></p></div><div id="course-pills-2"><h4>Course Outline </h4><ul><li>Information Security Threats and Vulnerabilities </li><li>Information Security Attacks</li><li>Network Security Fundamentals</li><li>Identification, Authentication, and Authorization</li><li>Network Security Controls: Administrative Controls</li><li>Network Security Controls: Physical Controls</li><li>Network Security Controls: Technical Controls</li><li>Network Security Assessment Techniques and Tools</li><li>Application Security</li><li>Virtualization and Cloud Computing</li><li>Wireless Network Security</li><li>Mobile Device Security</li><li>Internet of Things (IoT) and Operational Technology (OT) Security</li><li>Cryptography</li><li>Data Security</li><li>Network Troubleshooting</li><li>Network Traffic Monitoring</li><li>Network Log Monitoring and Analysis</li><li>Incident Response</li><li>Computer Forensics</li><li>Business Continuity and Disaster Recovery</li><li>Risk Management</li></ul></div>

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