Complete Guide to Azure AI for ML Engineers by Microsoft Press

Course details

AI is rapidly changing the way we do everything, from searching for answers to performing common tasks, like gathering information from documents and images. While there are many different tools available to choose from, Microsoft has created a large suite of services that supports the needs of a wide variety of AI use cases. In this course from Microsoft Press, learn how to use Azure tools to craft solutions for generative AI processing of documents and images. Explore the fundamentals of AI before jumping into the specifics of using Azure AI services, including where and how to apply code to customize solutions. Along the way, practice your new skills in the hands-on demos at the end of each section.

Learning objectives
Start using Azure AI.
Understand Azure AI service offerings.
Implement natural language processing solutions.
Create generative AI solutions.
Learn through demos on how to use Azure AI Studio and Azure OpenAI.
Learn to build and use AI tools across multiple systems.
Learn all about production models.

Concepts

0. Introduction

01 - The complete guide to Azure AI for ML engineers - Introduction

1. Fundamentals of AI

02 - Learning objectives
03 - Discover AI
04 - Get familiar with machine learning
05 - Learn about Azure Machine Learning
06 - See an Azure Machine Learning demo
07 - Discover document processing
08 - Learn natural language processing
09 - Discover computer vision
10 - Get familiar with generative AI
11 - Learn about Azure AI services
12 - See an Azure AI demo

2. AI Solution Development

13 - Learning objectives
14 - Learn the requirements definition and design
15 - Learn about development
16 - Learn about deployment
17 - Learn about performance tuning
18 - Learn about monitoring

3. Azure AI Fundamentals

19 - Learning objectives
20 - Use Azure AI services
21 - Use authentication for Azure AI services
22 - Learn about resource management
23 - See the Azure AI Studio
24 - Learn about use cases and their services
25 - Discover the ethics for AI services
26 - Build transparency with data
27 - Build reliable solutions
28 - Run through an exercise

4. Natural Language Processing with Azure AI

29 - Learning objectives
30 - Discover the Azure AI language
31 - Build a text classification solution
32 - Make a text translator
33 - Create a question-answering bot
34 - Create a speech-enabled app
35 - Build a model to understand conversational language
36 - Run through an exercise

5. Generative AI Solutions with Azure AI

37 - Learning objectives
38 - Discover Azure OpenAI
39 - Learn natural language solutions with OpenAI
40 - Discover prompt engineering with OpenAI
41 - Learn code generation with OpenAI
42 - Learn about image generation with OpenAI
43 - Discover retrieval augmented generation with OpenAI
44 - Run through an exercise

6. Data Searching Solutions with Azure AI

45 - Learning objectives
46 - Discover Azure AI Search
47 - Create a custom search tool
48 - Learn advanced search features
49 - Enhance your data
50 - Add external data to your search
51 - Re-rank your searches
52 - Run through an exercise

7. Image-Processing Solutions with Azure AI

53 - Learning objectives
54 - Discover Azure AI Vision
55 - Analyze images
56 - Classify images
57 - Perform facial recognition
58 - Process text from images
59 - Analyze video
60 - Run through an exercise

8. Document-Processing Solutions with Azure AI

61 - Learning objectives
62 - Discover Azure AI Document Intelligence
63 - Create a document solution
64 - Use prebuilt document models
65 - Extract data from forms
66 - Make a hybrid document model
67 - Build a custom skill for search
68 - Run through an exercise

9. Capstone

69 - Learning objectives
70 - Build AI solutions
71 - See a completed example project

Conclusion

72 - The complete guide to Azure AI for ML engineers - Summary