Register your product to gain access to bonus material or receive a coupon.
Video accessible from your Account page after purchase.
Build Practical Solutions with Azure AI
Overview
Complete Guide to Azure AI for ML Engineers is part of the Complete Guide series, which is the official Microsoft Press branding that is unique in covering new technologies for job roleswith hands-on projects in a comprehensive way. With the increase of interest in developer productivity with AI, this course can be your guide to using AI in the Azure services.
AI is rapidly changing the way we do everything, from searching for answers to completing common tasks. Microsoft has a large suite of tools and services for AI use cases. In this Complete Guide, Milecia covers the fundamentals of AI before jumping into the specific services and practical applications with Azure AI services: Azure AI Studio and Azure OpenAI. Engineers will learn how to use Azure services to create AI solutions for multiple use cases.
Skill Level
Beginner to intermediate
Learn How To
Course Requirement
Prerequisites: Knowledge of Python or C#, familiarity with Azure as a cloud platform, some experience with machine learning solutions.
Who Should Take This Course
More About Microsoft Press:
Microsoft Press creates IT books and references for all skill levels across the range of Microsoft technologies: https://www.microsoftpressstore.com/
More About Pearson Video Training:
Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.
Lesson 1: Fundamentals of AI
1.1 Discover AI
1.2 Get familiar with machine learning
1.3 Learn Azure machine learning
1.4 See an Azure machine learning demo
1.5 Discover document processing
1.6 Learn natural language processing
1.7 Discover computer vision
1.8 Get familiar with generative AI
1.9 Learn about Azure AI services
1.10 See an Azure AI demo
Lesson 2: AI Solution Development
2.1 Learn the requirements definition and design
2.2 Learn about development
2.3 Learn about deployment
2.4 Learn about performance tuning
2.5 Learn about monitoring
Lesson 3: Azure AI Fundamentals
3.1 Use Azure AI services
3.2 Use authentication for Azure AI services
3.3 Learn about resource management
3.4 See the Azure AI studio
3.5 Learn about use cases and their services
3.6 Discover the ethics for AI services
3.7 Build transparency with data
3.8 Build reliable solutions
3.9 Run through an exercise
Lesson 4: Natural Language Processing with Azure AI
4.1 Discover Azure AI language
4.2 Build a text classification solution
4.3 Make a text translator
4.4 Create a question-answering bot
4.5 Create a speech-enabled app
4.6 Build a model to understand conversational language
4.7 Run through an exercise
Lesson 5: Generative AI Solutions with Azure AI
5.1 Discover Azure OpenAI
5.2 Learn natural language solutions with OpenAI
5.3 Discover prompt engineering with OpenAI
5.4 Learn code generation with OpenAI
5.5 Learn about image generation with OpenAI
5.6 Discover retrieval augmented generation with OpenAI
5.7 Run through an exercise
Lesson 6: Data Searching Solutions with Azure AI
6.1 Discover Azure AI Search
6.2 Create a custom search tool
6.3 Learn advanced search features
6.4 Enhance your data
6.5 Add external data to your search
6.6 Re-rank your searches
6.7 Run through an exercise
Lesson 7: Image-Processing Solutions with Azure AI
7.1 Discover Azure AI Vision
7.2 Analyze images
7.3 Classify images
7.4 Perform facial recognition
7.5 Process text from images
7.6 Analyze video
7.7 Run through an exercise
Lesson 8: Document-Processing Solutions with Azure AI
8.1 Discover Azure AI Document Intelligence
8.2 Create a document solution
8.3 Use prebuilt document models
8.4 Extract data from forms
8.5 Make a hybrid document model
8.6 Build a custom skill for search
8.7 Run through an exercise
Lesson 9: Capstone
9.1 Build AI solutions
9.2 See a completed example project
Summary