10 Microsoft AI-900 courses

Duration 4 Days 24 CPD hours This course is intended for 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. 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. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - PREPARE TO DEVELOP AI SOLUTIONS ON AZURE * Define artificial intelligence * Understand AI-related terms * Understand considerations for AI Engineers * Understand considerations for responsible AI * Understand capabilities of Azure Machine Learning * Understand capabilities of Azure AI Services * Understand capabilities of the Azure Bot Service * Understand capabilities of Azure Cognitive Search 2 - CREATE AND CONSUME AZURE AI SERVICES * Provision an Azure AI services resource * Identify endpoints and keys * Use a REST API * Use an SDK 3 - SECURE AZURE AI SERVICES * Consider authentication * Implement network security 4 - MONITOR AZURE AI SERVICES * Monitor cost * Create alerts * View metrics * Manage diagnostic logging 5 - DEPLOY AZURE AI SERVICES IN CONTAINERS * Understand containers * Use Azure AI services containers 6 - ANALYZE IMAGES * Provision an Azure AI Vision resource * Analyze an image * Generate a smart-cropped thumbnail 7 - CLASSIFY IMAGES * Provision Azure resources for Azure AI Custom Vision * Understand image classification * Train an image classifier 8 - DETECT, ANALYZE, AND RECOGNIZE FACES * Identify options for face detection analysis and identification * Understand considerations for face analysis * Detect faces with the Azure AI Vision service * Understand capabilities of the face service * Compare and match detected faces * Implement facial recognition 9 - READ TEXT IN IMAGES AND DOCUMENTS WITH THE AZURE AI VISION SERVICE * Explore Azure AI Vision options for reading text * Use the Read API 10 - ANALYZE VIDEO * Understand Azure Video Indexer capabilities * Extract custom insights * Use Video Analyzer widgets and APIs 11 - ANALYZE TEXT WITH AZURE AI LANGUAGE * Provision an Azure AI Language resource * Detect language * Extract key phrases * Analyze sentiment * Extract entities * Extract linked entities 12 - BUILD A QUESTION ANSWERING SOLUTION * Understand question answering * Compare question answering to Azure AI Language understanding * Create a knowledge base * Implement multi-turn conversation * Test and publish a knowledge base * Use a knowledge base * Improve question answering performance 13 - BUILD A CONVERSATIONAL LANGUAGE UNDERSTANDING MODEL * Understand prebuilt capabilities of the Azure AI Language service * Understand resources for building a conversational language understanding model * Define intents, utterances, and entities * Use patterns to differentiate similar utterances * Use pre-built entity components * Train, test, publish, and review a conversational language understanding model 14 - CREATE A CUSTOM TEXT CLASSIFICATION SOLUTION * Understand types of classification projects * Understand how to build text classification projects 15 - CREATE A CUSTOM NAMED ENTITY EXTRACTION SOLUTION * Understand custom named entity recognition * Label your data * Train and evaluate your model 16 - TRANSLATE TEXT WITH AZURE AI TRANSLATOR SERVICE * Provision an Azure AI Translator resource * Specify translation options * Define custom translations 17 - CREATE SPEECH-ENABLED APPS WITH AZURE AI SERVICES * Provision an Azure resource for speech * Use the Azure AI Speech to Text API * Use the text to speech API * Configure audio format and voices * Use Speech Synthesis Markup Language 18 - TRANSLATE SPEECH WITH THE AZURE AI SPEECH SERVICE * Provision an Azure resource for speech translation * Translate speech to text * Synthesize translations 19 - CREATE AN AZURE AI SEARCH SOLUTION * Manage capacity * Understand search components * Understand the indexing process * Search an index * Apply filtering and sorting * Enhance the index 20 - CREATE A CUSTOM SKILL FOR AZURE AI SEARCH * Create a custom skill * Add a custom skill to a skillset 21 - CREATE A KNOWLEDGE STORE WITH AZURE AI SEARCH * Define projections * Define a knowledge store 22 - PLAN AN AZURE AI DOCUMENT INTELLIGENCE SOLUTION * Understand AI Document Intelligence * Plan Azure AI Document Intelligence resources * Choose a model type 23 - USE PREBUILT AZURE AI DOCUMENT INTELLIGENCE MODELS * Understand prebuilt models * Use the General Document, Read, and Layout models * Use financial, ID, and tax models 24 - EXTRACT DATA FROM FORMS WITH AZURE DOCUMENT INTELLIGENCE * What is Azure Document Intelligence? * Get started with Azure Document Intelligence * Train custom models * Use Azure Document Intelligence models * Use the Azure Document Intelligence Studio 25 - 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 26 - BUILD NATURAL LANGUAGE SOLUTIONS WITH AZURE OPENAI SERVICE * Integrate Azure OpenAI into your app * Use Azure OpenAI REST API * Use Azure OpenAI SDK 27 - APPLY PROMPT ENGINEERING WITH AZURE OPENAI SERVICE * Understand prompt engineering * Write more effective prompts * Provide context to improve accuracy 28 - GENERATE CODE WITH AZURE OPENAI SERVICE * Construct code from natural language * Complete code and assist the development process * Fix bugs and improve your code 29 - 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 30 - 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 31 - 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

In the past, popular thought treated artificial intelligence (AI) as if it were the domain of science fiction or some far-flung future. In the last few years, however, AI has been given new life. The business world has especially given it renewed interest. However, AI is not just another technology or process for the business to consider - it is a truly disruptive force.

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.

Duration 3 Days 18 CPD hours This course is intended for The EXIN BCS Artificial Intelligence Foundation certification is focused on individuals with an interest in, (or need to implement) AI in an organization, especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services. Overview You will be able to Describe how Artificial (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Demonstrate Understanding of the Artificial Intelligence (AI) Intelligen Agent Description Explain the Benefits of Artificial Intelligence (AI) Describe how we Learn from Data - Functionality, Software and Hardware Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together Describe a ''Learning from Experience'' Agile Approach to Projects Candidates should be able to demonstrate a knowledge and understanding in the application of ethical and sustainable Artificial Intelligence (AI):- Human-centric Ethical and Sustainable Human and Artificial Intelligence (AI) ETHICAL AND SUSTAINABLE HUMAN AND ARTIFICIAL INTELLIGENCE (AI) * Recall the General Definition of Human and Artificial Intelligence (AI) * Describe what are Ethics and Trustworthy Artificial Intelligence (AI) * Describe the Three Fundamental Areas of Sustainability and the United Nationïs Seventeen Sustainability Goals * Describe how Artificial Intelligence (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' * Understand that Machine Learning (ML) is a Significant Contribution to the Growth of Artificial Intelligence (AI) ARTIFICIAL INTELLIGENCE (AI) AND ROBOTICS * Demonstrate Understanding of the Artificial Intelligence (AI) Intelligent Agent Description * Describe what a Robot is * Describe what an intelligent Robot is APPLYING THE BENEFITS OF ARTIFICIAL INTELLIGENCE (AI) ? CHALLENGES AND RISKS * Describe how Sustainability Relates to Human-Centric Ethical Artificial Intelligence (AI) and how our Values will Drive our use of Artificial Intelligence (AI) and will Change Humans, Society and Organizations * Explain the Benefits of Artifical Intelligence (AI) * Describe the Challenges of Artificial Intelligence (AI) Projects * Demonstrate Understanding of the Risks of Artificial Intelligence (AI) Projects * List Opportunities for Artificial Intelligence (AI) * Identify a Typical Funding Source for Artificial Intelligence (AI) Projects and Relate to the NASA Technology Readiness Levels (TRLs) STARTING ARTIFICIAL INTELLIGENCE (AI): HOW TO BUILD A MACHINE LEARNING (ML) TOOLBOX ? THEORY AND PRACTICE * Describe how we Learn from Data - Functionality, Software and Hardware * Recall which Rypical, Narrow Artificial Intelligence (AI) Capability is Useful in Machine Learning (ML9 and Artificial Intelligence (AI) AgentsïFunctionality THE MANAGEMENT, ROLES AND RESPONSIBILITIES OF HUMANS AND MACHINES * Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together * List Future Directions of Humans and Machines Working Together * Describe a ''Learning from Experience'' Agile Approach to Projects

Duration 0.5 Days 3 CPD hours This course is intended for This course is primarily designed for business leaders, consultants, product and project managers, and other decision-makers who are interested in growing the business by leveraging the power of AI. Other individuals who wish to explore basic AI concepts are also candidates for this course. This course is also designed to assist students in preparing for the CertNexus AIBIZ™ (Exam AIZ-210) credential. Overview In this course, you will identify ways in which AI can bring significant value to the business. You will: Describe AI fundamentals. Identify the functions of AI in business. Implement business requirements for AI. Artificial intelligence (AI) is not just another technology or process for the business to consider?it is a truly disruptive force, one that delivers an entirely new level of results across business sectors. Even organizations that resist adopting AI will feel its impact. If the organization wants to thrive and survive in this transforming business landscape, it will need to harness the power of AI. This course is designed to help business professionals conquer and move beyond the basics of AI to apply AI concepts for the benefit of the business. It will give you the essential knowledge of AI you'll need to steer the business forward. LESSON 1: AI FUNDAMENTALS * Topic A: A Brief History of AI * Topic B: AI Concepts LESSON 2: FUNCTIONS OF AI IN BUSINESS * Topic A: Improve User Experiences * Topic B: Segment Audiences * Topic C: Secure Assets * Topic D: Optimize Processes LESSON 3: IMPLEMENTING BUSINESS REQUIREMENTS FOR AI * Topic A: Identify Design Requirements * Topic B: Identify Data Requirements * Topic C: Identify Risks in Implementing AI * Topic D: Develop an AI Strategy

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Are you fascinated by the potential of AI to revolutionise our world? The UK government has pledged £1 billion to invest in AI research, creating exciting job opportunities in this dynamic field. If you're curious about how AI works and want to explore its practical applications, this Artificial Intelligence, Open AI & ChatGPT bundle is for you! With this Artificial Intelligence, Open AI & ChatGPT course you will get 20 CPD Accredited PDF Certificates, Hard Copy Certificate of Project on Deep Learning - Artificial Neural Network and our exclusive student ID card absolutely free. Courses Are Included In This Artificial Intelligence, Open AI & ChatGPT Bundle: * Course 01: Project on Deep Learning - Artificial Neural Network * Course 02: Deep Learning & Neural Networks Python - Keras * Course 03: Machine Learning Basics * Course 04: Hands on Machine Learning Project - Auto Image Captioning for Social Media * Course 05: Statistics & Probability for Data Science & Machine Learning * Course 06: Hands on Deep Learning Projects - Stock price Prognostics * Course 07: Deep Learning Projects - Convolutional Neural Network * Course 08: Deep Learning Projects - Handwritten Digit Recognition Using Neural Network * Course 09: Essential Training on Deep Learning Heuristic using R * Course 10: Project on Deep Learning - Artificial Neural Network * Course 11: Machine Learning with Python Course * Course 12: Python Data Science * Course 13: Quick Data Science Approach from Scratch * Course 14: Data Science & Machine Learning with R Training * Course 15: Azure Machine Learning * Course 16: A Beginner Crash Course on ChatGPT * Course 17: ChatGPT Complete Guide with Expertise * Course 18: ChatGPT Masterclass: A Complete ChatGPT Zero to Hero! * Course 19: ChatGPT for Marketing and Productivity with AI Tools * Course 20: Fundamentals to Identifying Market Trends You Can Capitalise On This comprehensive Artificial Intelligence, Open AI & ChatGPT bundle equips you with the essential skills to thrive in the AI revolution. You'll learn about deep learning, building powerful neural networks that can learn and adapt like the human brain. Master Python, the language of Artificial Intelligence, and explore practical applications like image captioning and stock price prediction. Don't miss this chance to elevate your career and skillset. Enrol in Artificial Intelligence, Open AI & ChatGPT today and take the first step towards achieving your goals and dreams. Why buy this Artificial Intelligence, Open AI & ChatGPT? * Free CPD Accredited Certificate upon completion of Artificial Intelligence, Open AI & ChatGPT * Get a free student ID card with Artificial Intelligence, Open AI & ChatGPT * Lifetime access to the Artificial Intelligence, Open AI & ChatGPT course materials * Get instant access to this Artificial Intelligence, Open AI & ChatGPT course * Learn Artificial Intelligence, Open AI & ChatGPT from anywhere in the world * 24/7 tutor support with the Artificial Intelligence, Open AI & ChatGPT course. * Artificial Intelligence, Open AI & ChatGPT is an entirely online, interactive lesson with voiceover audio. Start your learning journey straightaway with our Artificial Intelligence, Open AI & ChatGPT Training! This Artificial Intelligence's curriculum has been designed by Artificial Intelligence experts with years of Artificial Intelligence experience behind them. The Artificial Intelligence course is extremely dynamic and well-paced to help you understand Artificial Intelligence with ease. You'll discover how to master the Artificial Intelligence skill while exploring relevant and essential topics. Certification of Artificial Intelligence, Open AI & ChatGPT You have to complete the assignment given at the end of the Artificial Intelligence, Open AI & ChatGPT course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Artificial Intelligence, Open AI & ChatGPT exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 200 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? This Artificial Intelligence, Open AI & ChatGPT course is ideal for: * Students seeking mastery in Artificial Intelligence, Open AI & ChatGPT * Professionals seeking to enhance Artificial Intelligence, Open AI & ChatGPT skills * Individuals looking for a Artificial Intelligence, Open AI & ChatGPT-related career. * Anyone passionate about Artificial Intelligence, Open AI & ChatGPT REQUIREMENTS This Artificial Intelligence, Open AI & ChatGPT doesn't require prior experience and is suitable for diverse learners. CAREER PATH This Artificial Intelligence, Open AI & ChatGPT bundle will allow you to kickstart or take your career in the related sector to the next stage. CERTIFICATES CPD ACCREDITED DIGITAL CERTIFICATE Digital certificate - Included CPD ACCREDITED HARD COPY CERTIFICATE Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

Duration 1 Days 6 CPD hours This course is intended for This course does not have any technical knowledge prerequisites for the learners, besides being proficient in using a computer and the Internet. IT and/or AI knowledge is a benefit but not a hard requirement. Given the rapid development of AI and the broad range of its applications in everyday life, it is crucial for anyone to attend this course to update their digital skills in an ever-changing world. It is expected that all learners have registered for a free account of OpenAI ChatGPT at https://chat.openai.com. Overview Discover how AI relates to other 4th industrial revolution technologies Learn about AI, ML, and associated cognitive services Overview of AI development frameworks, tools and services Evaluate the OpenAI ChatGPT4 / ChatGPT3.5 model features in more detail The core aim of this ?AI for beginners? course is to introduce its audience to Artificial Intelligence (AI) and Machine Learning (ML) technologies and allow them to understand the practical applications of AI in their everyday personal and professional life. Moreover, the course aims to provide a handful of demos and hands-on exercises to allow the learners to familiarize themselves with usage scenarios of OpenAI ChatGPT and other Generative AI (GenAI) models. The content of this course has been created primarily by using the OpenAI ChatGPT model. AI THEORETICAL CONCEPTS. * Introduction to AI, ML, and associated cognitive services (Computer vision, Natural language processing, Speech analysis, Decision making). * How AI relates to other 4th industrial revolution technologies (cloud computing, edge computing, internet of things, blockchain, metaverse, robotics, quantum computing). * AI model classification by utilizing mind maps and the distinctive role of Gen AI models. * Introduction to the OpenAI ChatGPT model and alternative generative AI models. Familiarization with the basics of the ChatGPT interface (https://chat.openai.com). * Talking about Responsible AI: Security, privacy, compliance, copyright, legal challenges, and ethical implications. AI PRACTICAL APPLICATIONS * Overview of AI development frameworks, tools and services. AI aggregators review. * Hand-picked AI tool demos: * a.Workplace productivity and the case of Microsoft 365 Copilot. * b.The content creation industry. Create text, code, images, audio and video with Gen AI. * c.Redefining the education sector with AI-powered learning. * Evaluate the OpenAI ChatGPT4 / ChatGPT3.5 model features in more detail: * a.Prompting and plugin demos. * b.Code interpreter demos. * Closing words. Discussion with an AI model on the future of AI. ADDITIONAL COURSE DETAILS: Nexus Humans AI for beginners 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 for beginners 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 2 Days 12 CPD hours This course is intended for This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. EXPLORING AI * AI-Initiatives * The Priority: Excellence * AI- Intelligence Types * The Machine Learning Types * The Quality Learning Initiative * The Inception in Academics * AI - Importance & Applications * The Re-visit * Learning Re-visited via AI * Teaching in the world of AI * Exploring AI for Self-Development * AI In Academics Beyond Academics INTRODUCTION TO MACHINE LEARNING * What is Machine Learning? * Why Machine Learning? * Examples - Algorithms behind Machine Learning INTRODUCTION TO DEEP LEARNING * What is Deep Learning? * Why Deep Learning? * Example - Deep Learning Vs Machine Learning INTRODUCTION TO DATA SCIENCE * What is Data Science? * Why Data Science? * Examples - Use Cases of Data Science ARTIFICIAL INTELLIGENCE (AI) IN SOFTWARE TESTING * What is AI in Software Testing? * The Role of AI Testing * Why do we Need AI in Software Testing? * Pros and Cons of AI in Software Testing * Applications of AI in Software Testing * Is it time for Testers or QA Teams to worry about AI? * Automated Testing with Artificial Intelligence IMPLEMENTING AI IN TEST AUTOMATION * Training the AI Bots * Challenges with AI-powered Applications * Examples - Real World use cases using Artificial Intelligence * Demo - Facial Emotion Detection Using Artificial Intelligence * Demo - Text Analysis API Using Artificial Intelligence * Demo - EYE SPY Mobile App Using Artificial Intelligence INNOVATIVE AI TEST AUTOMATION TOOLS FOR THE FUTURE * Tools used for Implementing AI in Automation Testing * What is NEXT? * AI Test Automation Demo using Testim

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. SOLVING BUSINESS PROBLEMS USING AI AND ML * Topic A: Identify AI and ML Solutions for Business Problems * Topic B: Formulate a Machine Learning Problem * Topic C: Select Approaches to Machine Learning PREPARING DATA * Topic A: Collect Data * Topic B: Transform Data * Topic C: Engineer Features * Topic D: Work with Unstructured Data TRAINING, EVALUATING, AND TUNING A MACHINE LEARNING MODEL * Topic A: Train a Machine Learning Model * Topic B: Evaluate and Tune a Machine Learning Model BUILDING LINEAR REGRESSION MODELS * Topic A: Build Regression Models Using Linear Algebra * Topic B: Build Regularized Linear Regression Models * Topic C: Build Iterative Linear Regression Models BUILDING FORECASTING MODELS * Topic A: Build Univariate Time Series Models * Topic B: Build Multivariate Time Series Models BUILDING CLASSIFICATION MODELS USING LOGISTIC REGRESSION AND K-NEAREST NEIGHBOR * Topic A: Train Binary Classification Models Using Logistic Regression * Topic B: Train Binary Classification Models Using k-Nearest Neighbor * Topic C: Train Multi-Class Classification Models * Topic D: Evaluate Classification Models * Topic E: Tune Classification Models BUILDING CLUSTERING MODELS * Topic A: Build k-Means Clustering Models * Topic B: Build Hierarchical Clustering Models BUILDING DECISION TREES AND RANDOM FORESTS * Topic A: Build Decision Tree Models * Topic B: Build Random Forest Models BUILDING SUPPORT-VECTOR MACHINES * Topic A: Build SVM Models for Classification * Topic B: Build SVM Models for Regression BUILDING ARTIFICIAL NEURAL NETWORKS * Topic A: Build Multi-Layer Perceptrons (MLP) * Topic B: Build Convolutional Neural Networks (CNN) * Topic C: Build Recurrent Neural Networks (RNN) OPERATIONALIZING MACHINE LEARNING MODELS * Topic A: Deploy Machine Learning Models * Topic B: Automate the Machine Learning Process with MLOps * Topic C: Integrate Models into Machine Learning Systems MAINTAINING MACHINE LEARNING OPERATIONS * Topic A: Secure Machine Learning Pipelines * Topic B: Maintain Models in Production