3 Natural Language Processing (NLP) courses

Duration 1 Days 6 CPD hours This course is intended for 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. 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. Prerequisites 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: * Experience using computers and the internet. * Interest in use cases for AI applications and machine learning models. * A willingness to learn through hands-on exp... 1 - FUNDAMENTAL AI CONCEPTS * Understand machine learning * Understand computer vision * Understand natural language processing * Understand document intelligence and knowledge mining * Understand generative AI * Challenges and risks with AI * Understand Responsible AI 2 - FUNDAMENTALS OF MACHINE LEARNING * What is machine learning? * Types of machine learning * Regression * Binary classification * Multiclass classification * Clustering * Deep learning * Azure Machine Learning 3 - FUNDAMENTALS OF AZURE AI SERVICES * AI services on the Azure platform * Create Azure AI service resources * Use Azure AI services * Understand authentication for Azure AI services 4 - FUNDAMENTALS OF COMPUTER VISION * Images and image processing * Machine learning for computer vision * Azure AI Vision 5 - FUNDAMENTALS OF FACIAL RECOGNITION * Understand Face analysis * Get started with Face analysis on Azure 6 - FUNDAMENTALS OF OPTICAL CHARACTER RECOGNITION * Get started with Vision Studio on Azure 7 - FUNDAMENTALS OF TEXT ANALYSIS WITH THE LANGUAGE SERVICE * Understand Text Analytics * Get started with text analysis 8 - FUNDAMENTALS OF QUESTION ANSWERING WITH THE LANGUAGE SERVICE * Understand question answering * Get started with the Language service and Azure Bot Service 9 - FUNDAMENTALS OF CONVERSATIONAL LANGUAGE UNDERSTANDING * Describe conversational language understanding * Get started with conversational language understanding in Azure 10 - FUNDAMENTALS OF AZURE AI SPEECH * Understand speech recognition and synthesis * Get started with speech on Azure 11 - FUNDAMENTALS OF AZURE AI DOCUMENT INTELLIGENCE * Explore capabilities of document intelligence * Get started with receipt analysis on Azure 12 - FUNDAMENTALS OF KNOWLEDGE MINING WITH AZURE COGNITIVE SEARCH * What is Azure Cognitive Search? * Identify elements of a search solution * Use a skillset to define an enrichment pipeline * Understand indexes * Use an indexer to build an index * Persist enriched data in a knowledge store * Create an index in the Azure portal * Query data in an Azure Cognitive Search index 13 - FUNDAMENTALS OF GENERATIVE AI * What is generative AI? * Large language models * What is Azure OpenAI? * What are copilots? * Improve generative AI responses with prompt engineering 14 - FUNDAMENTALS OF AZURE OPENAI SERVICE * What is generative AI * Describe Azure OpenAI * How to use Azure OpenAI * Understand OpenAI's natural language capabilities * Understand OpenAI code generation capabilities * Understand OpenAI's image generation capabilities * Describe Azure OpenAI's access and responsible AI policies 15 - FUNDAMENTALS OF RESPONSIBLE GENERATIVE AI * Plan a responsible generative AI solution * Identify potential harms * Measure potential harms * Mitigate potential harms * Operate a responsible generative AI solution ADDITIONAL COURSE DETAILS: 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. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. 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. 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. 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.

The comprehensive Complete U&P AI - Natural Language Processing (NLP) with Python has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Complete U&P AI - Natural Language Processing (NLP) with Python today, and learn from the very best the industry has to offer! This best selling Complete U&P AI - Natural Language Processing (NLP) with Python has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Complete U&P AI - Natural Language Processing (NLP) with Python is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Complete U&P AI - Natural Language Processing (NLP) with Python is CPD-accredited, so you can be confident you're completing a quality training course  will boost your CV and enhance your career potential. The Complete U&P AI - Natural Language Processing (NLP) with Python is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Complete U&P AI - Natural Language Processing (NLP) with Python, you will be awarded a certificate of completion  as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Complete U&P AI - Natural Language Processing (NLP) with Python will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Complete U&P AI - Natural Language Processing (NLP) with Python to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Duration 1 Days 6 CPD hours This course is intended for The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions. Note Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The course materials are maintained to reflect the latest version of the service at the time of writing. Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications. Prerequisites * Familiarity with Azure and the Azure portal. * Experience programming with C# or Python. 1 - GET STARTED WITH AZURE OPENAI SERVICE * Access Azure OpenAI Service * Use Azure OpenAI Studio * Explore types of generative AI models * Deploy generative AI models * Use prompts to get completions from models * Test models in Azure OpenAI Studio's playgrounds 2 - BUILD NATURAL LANGUAGE SOLUTIONS WITH AZURE OPENAI SERVICE * Integrate Azure OpenAI into your app * Use Azure OpenAI REST API * Use Azure OpenAI SDK 3 - APPLY PROMPT ENGINEERING WITH AZURE OPENAI SERVICE * Understand prompt engineering * Write more effective prompts * Provide context to improve accuracy 4 - GENERATE CODE WITH AZURE OPENAI SERVICE * Construct code from natural language * Complete code and assist the development process * Fix bugs and improve your code 5 - GENERATE IMAGES WITH AZURE OPENAI SERVICE * What is DALL-E? * Explore DALL-E in Azure OpenAI Studio * Use the Azure OpenAI REST API to consume DALL-E models 6 - USE YOUR OWN DATA WITH AZURE OPENAI SERVICE * Understand how to use your own data * Add your own data source * Chat with your model using your own data ADDITIONAL COURSE DETAILS: Nexus Humans AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. 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. While we feel this is the best course for the AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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. 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.

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. LAUNCH INTO THE UNIVERSE OF NATURAL LANGUAGE PROCESSING * The journey begins: Unravel the layers of NLP * Navigating through the history of NLP * Merging paths: Text Analytics and NLP * Decoding language: Word Sense Disambiguation and Sentence Boundary Detection * First steps towards an NLP Project UNLEASHING THE POWER OF FEATURE EXTRACTION * Dive into the vast ocean of Data Types * Purification process: Cleaning Text Data * Excavating knowledge: Extracting features from Texts * Drawing connections: Finding Text Similarity through Feature Extraction ENGINEER YOUR TEXT CLASSIFIER * The new era of Machine Learning and Supervised Learning * Architecting a Text Classifier * Constructing efficient workflows: Building Pipelines for NLP Projects * Ensuring continuity: Saving and Loading Models MASTER THE ART OF WEB SCRAPING AND API USAGE * Stepping into the digital world: Introduction to Web Scraping and APIs * The great heist: Collecting Data by Scraping Web Pages * Navigating through the maze of Semi-Structured Data UNEARTH HIDDEN THEMES WITH TOPIC MODELING * Embark on the path of Topic Discovery * Decoding algorithms: Understanding Topic-Modeling Algorithms * Dialing the right numbers: Key Input Parameters for LSA Topic Modeling * Tackling complexity with Hierarchical Dirichlet Process (HDP) DELVING DEEP INTO VECTOR REPRESENTATIONS * The Geometry of Language: Introduction to Vectors in NLP TEXT MANIPULATION: GENERATION AND SUMMARIZATION * Playing the creator: Generating Text with Markov Chains * Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank * Peering into the future: Recent Developments in Text Generation and Summarization * Solving real-world problems: Addressing Challenges in Extractive Summarization RIDING THE WAVE OF SENTIMENT ANALYSIS * Unveiling emotions: Introduction to Sentiment Analysis Tools * Demystifying the Textblob library * Preparing the canvas: Understanding Data for Sentiment Analysis * Training your own emotion detectors: Building Sentiment Models OPTIONAL: CAPSTONE PROJECT * Apply the skills learned throughout the course. * Define the problem and gather the data. * Conduct exploratory data analysis for text data. * Carry out preprocessing and feature extraction. * Select and train a model. ? Evaluate the model and interpret the results. BONUS CHAPTER: GENERATIVE AI AND NLP * Introduction to Generative AI and its role in NLP. * Overview of Generative Pretrained Transformer (GPT) models. * Using GPT models for text generation and completion. * Applying GPT models for improving autocomplete features. * Use cases of GPT in question answering systems and chatbots. BONUS CHAPTER: ADVANCED APPLICATIONS OF NLP WITH GPT * Fine-tuning GPT models for specific NLP tasks. * Using GPT for sentiment analysis and text classification. * Role of GPT in Named Entity Recognition (NER). * Application of GPT in developing advanced chatbots. * Ethics and limitations of GPT and generative AI technologies.

Take your first step toward Natural Language Processing with this beginner-to-pro course. Gain an in-depth understanding of deep learning models for NLP with the help of examples. Learn the essential concepts from the absolute beginning with complete unraveling along with examples in Python.

This course will help you prepare for the AI-900 Exam: Microsoft Azure AI Fundamentals. We will cover the complete exam syllabus as updated in April 2021 with sample questions.

In this self-paced course, you will learn how to use TensorFlow 2 to build recurrent neural networks (RNNs). You will learn about sequence data, forecasting, Elman Unit, GRU, and LSTM. You will also learn how to work with image classification and how to get stock return predictions using LSTMs. We will also cover Natural Language Processing (NLP) and learn about text preprocessing and classification.

Duration 5 Days 30 CPD hours This course is intended for A Microsoft Power Platform Functional Consultant is responsible for creating and configuring apps, automations, and solutions. They act as the liaison between users and the implementation team. The functional consultant promotes utilization of solutions within an organization. The functional consultant may perform discovery, engage subject matter experts and stakeholders, capture requirements, and map requirements to features. They implement components of a solution including application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and simple visualizations. This course will teach you to use Microsoft Power Platform solutions to simplify, automate, and empower business processes for organizations in the role of a Functional Consultant. A Microsoft Power Platform Functional Consultant is responsible for creating and configuring apps, automations, and solutions. They act as the liaison between users and the implementation team. The functional consultant promotes utilization of solutions within an organization. The functional consultant may perform discovery, engage subject matter experts and stakeholders, capture requirements, and map requirements to features. They implement components of a solution including application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and simple visualizations. This course may contain a 1-day Applied Workshop. This workshop will allow you to practice your Functional Consultant skills by creating an end-to-end solution to solve a problem for a fictitious company. The solution will include a Microsoft Dataverse database, Power Apps canvas app, and Power Automate flows. Prerequisites * Experience as an IT professional or student * Working knowledge of Microsoft Power Platform and its key components * Knowledge of Microsoft Dataverse (or general data modeling) and security concepts 1 - DESCRIBE THE BUSINESS VALUE OF THE MICROSOFT POWER PLATFORM * Explore Microsoft Power Platform * Describe the business value of the Power Platform * Explore connectors and Microsoft Dataverse * Describe how Power Platform works with Microsoft 365 apps and services * Explore how Power Platform works with Microsoft Teams * Describe how Power Platform works with Microsoft Dynamics 365 apps * Describe how Power Platform solutions consume Microsoft Azure services * Explore how Microsoft Power Platform apps work together * Use Artificial Intelligence to increase productivity 2 - CORE COMPONENTS OF POWER PAGES * Get started with Power Pages * Core tools and components of Power Pages * Overview of Power Pages security * Overview of Power Pages extensibility 3 - EXPLORE POWER PAGES TEMPLATES * Site design templates * Scenario-based templates * Dynamics 365 Power Pages site templates 4 - EXPLORE POWER PAGES DESIGN STUDIO * Work with pages * Page components * Site styling and templates 5 - EXPLORE POWER PAGES DESIGN STUDIO DATA AND SECURITY FEATURES * Data workspace in Power Pages design studio * Power Pages security features 6 - INTRODUCTION TO POWER PAGES ADMINISTRATION * Power Pages administrative tools * Set up workspace in Power Pages design studio 7 - GET STARTED BUILDING WITH POWER BI * Use Power BI * Building blocks of Power BI * Tour and use the Power BI service 8 - GET DATA WITH POWER BI DESKTOP * Overview of Power BI Desktop * Explore Power BI Desktop * Connect to data sources * Get data from Excel * Transform data to include in a report * Combine data from multiple sources * Clean data to include in a report 9 - MODEL DATA IN POWER BI * How to manage your data relationships * Create calculated columns * Optimize data models * Create measures * Create calculated tables * Explore time-based data 10 - USE VISUALS IN POWER BI * Create and customize simple visualizations * Create slicers * Map visualizations * Matrices and tables * Create scatter, waterfall, and funnel charts * Modify colors in charts and visuals * Page layout and formatting 11 - EXPLORE DATA IN POWER BI * Quick insights in Power BI * Create and configure a dashboard * Ask questions of your data with natural language * Create custom Q&A suggestions * Share dashboards with your organization * Display visuals and tiles in full screen * Edit tile details and add widgets * Get more space on your dashboard 12 - PUBLISH AND SHARE IN POWER BI * Publish Power BI Desktop reports * Print and export dashboards and reports * Introducing Power BI Mobile * Create workspaces in Power BI * Build apps * Use apps * Integrate OneDrive for Business with Power BI * Publish to web 13 - CREATE AND MANAGE WORKSPACES IN POWER BI * Distribute a report or dashboard * Monitor usage and performance * Recommend a development life cycle strategy * Troubleshoot data by viewing its lineage * Configure data protection 14 - MANAGE SEMANTIC MODELS IN POWER BI * Use a Power BI gateway to connect to on-premises data sources * Configure a semantic model scheduled refresh * Configure incremental refresh settings * Manage and promote semantic models * Troubleshoot service connectivity * Boost performance with query caching (Premium) 15 - CREATE DASHBOARDS IN POWER BI * Configure data alerts * Explore data by asking questions * Review Quick insights * Add a dashboard theme * Pin a live report page to a dashboard * Configure a real-time dashboard * Set mobile view 16 - IMPLEMENT ROW-LEVEL SECURITY * Configure row-level security with the static method * Configure row-level security with the dynamic method 17 - CREATE TABLES IN DATAVERSE * Table characteristics * Table relationships * Dataverse logic and security * Dataverse auditing * Dual-write vs. virtual tables 18 - MANAGE TABLES IN DATAVERSE * Identify tables and table types in Dataverse * Create a custom table * Enable attachments within a table * Licensing requirements for each table type 19 - CREATE AND MANAGE COLUMNS WITHIN A TABLE IN DATAVERSE * Define columns in Microsoft Dataverse * Column types in Microsoft Dataverse * Add a column to a table * Create a primary name column * Restrictions that apply to columns in a table * Create an auto numbering column * Create an alternate key 20 - CREATE A RELATIONSHIP BETWEEN TABLES IN DATAVERSE * Relate one or more tables - Introduction * Relationship types that are available in Microsoft Dataverse * Create a one-to-many relationship between tables * Create a many-to-many relationship between tables * Edit or delete relationships 21 - WORKING WITH CHOICES IN DATAVERSE * Define choice column * Standard choices column 22 - GET STARTED WITH SECURITY ROLES IN DATAVERSE * Understand environment roles * Adding or disabling an environment user * Understand security concepts in Dataverse * Understand user security roles and security role defaults * Check the roles that a user belongs to * Configure Dataverse teams for security * Configure Dataverse group teams for security 23 - USE ADMINISTRATION OPTIONS FOR DATAVERSE * Use Microsoft Power Platform Admin Center portal * Tenant storage capacity * Advanced Customization options in Power Apps Portal * Enable and disable auditing 24 - MANAGE DYNAMICS 365 MODEL-DRIVEN APP SETTINGS AND SECURITY * Configure role-based security * Manage teams and business units * Explore settings and customizations 25 - INTRODUCTION TO MICROSOFT POWER PLATFORM SECURITY AND GOVERNANCE * Identify Microsoft Power Platform environments * Data Loss Prevention policies * Microsoft Power Platform Center of Excellence Starter Kit 26 - GET STARTED WITH MODEL-DRIVEN APPS IN POWER APPS * Introducing model-driven apps * Components of model-driven apps * Design model-driven apps * Incorporate business process flows 27 - CONFIGURE FORMS, CHARTS, AND DASHBOARDS IN MODEL-DRIVEN APPS * Forms overview * Form elements * Configure multiple forms * Use specialized form components * Configure views overview * Configure grids * Create and edit views * Configure charts overview * Dashboards overview * Use interactive streams and tiles 28 - GET STARTED WITH POWER APPS CANVAS APPS * Power Apps building blocks * Ways to build Power Apps * Power Apps related technologies * Additional Power Apps related technologies * Designing a Power Apps app 29 - CONNECT TO OTHER DATA IN A POWER APPS CANVAS APP * Overview of the different data sources * Work with action-based data sources * Power Automate is a companion to Power Apps 30 - HOW TO BUILD THE UI IN A CANVAS APP IN POWER APPS * Use themes to quickly change the appearance of your app * Branding a control * Icons * Images * Personalization * Using the tablet or phone form factors 31 - MANAGE APPS IN POWER APPS * Power Apps review 32 - BUILD YOUR FIRST APP WITH POWER APPS AND DATAVERSE FOR TEAMS * Create your first app with the hero template * Customize your app with Power Apps Studio * Publish your app * Install template apps 33 - ACCESS DATAVERSE IN POWER PAGES WEBSITES * Use lists to display multiple Dataverse records * Use forms to interact with Dataverse data 34 - AUTHENTICATION AND USER MANAGEMENT IN POWER PAGES * Power Pages authentication settings * User registration in Power Pages * Authentication management for Power Pages users * Power Pages authentication providers 35 - POWER PAGES MAINTENANCE AND TROUBLESHOOTING * Power Pages website maintenance * Power Pages website troubleshooting 36 - DEFINE AND CREATE BUSINESS RULES IN DATAVERSE * Define business rules - Introduction * Define the components of a business rule * Create a business rule 37 - GET STARTED WITH POWER AUTOMATE * Introducing Power Automate * Troubleshoot flows 38 - USE THE ADMIN CENTER TO MANAGE ENVIRONMENTS AND DATA POLICIES IN POWER AUTOMATE * Administer flows * Export and import flows * Learn how to distribute button flows 39 - USE DATAVERSE TRIGGERS AND ACTIONS IN POWER AUTOMATE * Dataverse triggers * Query data * Create, update, delete, and relate actions 40 - EXTEND DATAVERSE WITH POWER AUTOMATE * Set up a flow and configure its trigger * Email Dataverse record * Add to-do items * Test and run your flow 41 - INTRODUCTION TO EXPRESSIONS IN POWER AUTOMATE * Get started with expressions * Notes make things easier * Types of functions * Write complex expressions 42 - BUILD YOUR FIRST POWER AUTOMATE FOR DESKTOP FLOW * Set up the environment * Explore Power Automate for desktop * Create your first Power Automate for desktop flow * Record Power Automate for desktop actions * Edit and test recorded actions 43 - RUN A POWER AUTOMATE FOR DESKTOP FLOW IN UNATTENDED MODE * Set up an unattended desktop flow * Create a new cloud flow that calls an existing flow in unattended mode * Perform a test run * Best practices 44 - OPTIMIZE YOUR BUSINESS PROCESS WITH PROCESS ADVISOR * Get familiar with process advisor * Create your first recording * Edit recordings and group actions * Analyze recordings and interpret results * Automation recommendations 45 - GET STARTED WITH MICROSOFT COPILOT STUDIO BOTS * Get started working with environments * Create bots and work with the Microsoft Copilot Studio interface * Create topics * Test bots * Publish bots and analyze performance 46 - ENHANCE MICROSOFT COPILOT STUDIO BOTS * Use Power Automate to add actions * Transfer conversations to agents by using Omnichannel for Customer Service * Create topics for existing support content * Analyze bot performance 47 - MANAGE TOPICS IN MICROSOFT COPILOT STUDIO * Work with bot topics * Branch a topic * Create topics for existing support content * Work with system fallback topics * Manage topics 48 - MANAGE POWER VIRTUAL AGENTS * Environments in Microsoft Copilot Studio * Bot topics permissions * Bot entities and flow permissions * Monitor and diagnose * Administer and manage * Export and import bots * Authentication 49 - GET STARTED BUILDING WITH POWER BI * Use Power BI * Building blocks of Power BI * Tour and use the Power BI service 50 - GET DATA WITH POWER BI DESKTOP * Overview of Power BI Desktop * Explore Power BI Desktop * Connect to data sources * Get data from Excel * Transform data to include in a report * Combine data from multiple sources * Clean data to include in a report 51 - MODEL DATA IN POWER BI * How to manage your data relationships * Create calculated columns * Optimize data models * Create measures * Create calculated tables * Explore time-based data 52 - USE VISUALS IN POWER BI * Create and customize simple visualizations * Create slicers * Map visualizations * Matrices and tables * Create scatter, waterfall, and funnel charts * Modify colors in charts and visuals * Page layout and formatting 53 - EXPLORE DATA IN POWER BI * Quick insights in Power BI * Create and configure a dashboard * Ask questions of your data with natural language * Create custom Q&A suggestions * Share dashboards with your organization * Display visuals and tiles in full screen * Edit tile details and add widgets * Get more space on your dashboard 54 - PUBLISH AND SHARE IN POWER BI * Publish Power BI Desktop reports * Print and export dashboards and reports * Introducing Power BI Mobile * Create workspaces in Power BI * Build apps * Use apps * Integrate OneDrive for Business with Power BI * Publish to web 55 - MANAGE SOLUTIONS IN POWER APPS AND POWER AUTOMATE * Add and remove apps, flows, and entities in a solution * Edit a solution-aware app, flow, and table * Build and deploy a complex solution with flows, apps, and entities * Automate solution management 56 - LOAD/EXPORT DATA AND CREATE DATA VIEWS IN DATAVERSE * View data in a table * Create or edit views of data in a table * Load data into a table * Export data from a table * Add, update, or delete data in a table by using Excel * Import data using Power Query * Generate a new dataflow from an Excel Template * Dataflow and Azure integration 57 - GET STARTED WITH AI BUILDER * Choose an AI capability * Create your first model * Ways to use your models 58 - MANAGE MODELS IN AI BUILDER * Model lifecycle * Manage model versions * Share your models 59 - USE AI BUILDER IN POWER AUTOMATE * AI Builder in Power Automate saves time * Advanced usage of AI Builder in Power Automate 60 - FUNCTIONAL CONSULTANT SKILLS * Create entity relationship diagrams * Create and document mock-ups * Document functional requirements and artifacts * Complete fit-gap analysis * Discuss stakeholder management responsibilities * Understand industry accelerators * Define Application Lifecycle Management * Participate in testing * Evaluate options * Define connectors * Understand Power Apps component framework 61 - SOLUTION ARCHITECT SERIES: PLAN APPLICATION LIFECYCLE MANAGEMENT FOR POWER PLATFORM * Key considerations for ALM * Solutions * Configuration and reference data * Release process * ALM with Azure DevOps

Master Data Science skills using Python and real time project and go from Beginner to Super Advance level

In this self-paced course, you will learn how to use TensorFlow 2 to build convolutional neural networks (CNNs). You will learn how to apply CNNs to several practical image recognition datasets and learn about techniques that help improve performance, such as batch normalization, data augmentation, and transfer learning.