Azure AI: The Big Picture

2h 6mBeginner2024-10-16

Authors

Walt Ritscher

Programmer, UI Designer, Staff Instructor at LinkedIn Learning

Learn-it Labs

Course details

The tech world is obviously enamored with artificial intelligence. After decades of research, developers now have a robust set of tools that make it easier to add machine learning or cognitive services to their applications. It’s no surprise that Microsoft is heavily invested in the AI space.

This course looks at the big picture of Microsoft Azure AI offerings. Instructor Walt Ritscher provides a perspective that will help you understand the many Azure offerings and assess which best fit your organization's cloud strategy. Join Walt in this big-picture course and get a high-level look at the built-in features and core components of the Azure AI toolset.

Skills covered

Introduction toCloud AdministrationArtificial Intelligence FoundationsAzureCloud PlatformsArtificial Intelligence (AI)Cloud ComputingMicrosoft

Concepts

0. Introduction

01 - Azure AI from a 10,000-foot view
02 - Getting the most out of this course

1. Azure AI Big Picture

03 - The Azure AI services names
04 - An overview of Azure AI
05 - A short tour of the Azure AI services

2. Azure Machine Learning

06 - The basics of Azure machine learning
07 - Azure Machine Learning Studio
08 - Build better prompts with Prompt Flow

3. Azure OpenAI Service

09 - The basics of Azure OpenAI Service
10 - Explore the Azure AI Studio
11 - Choose and deploy an OpenAI model
12 - Create a chat with OpenAI s chat playground
13 - Call the OpenAI REST API
14 - Generative images with DALL-E

4. Image and Video Analysis

15 - The Azure Studios
16 - Extract text from images
17 - Analyze spatial data in real time
18 - Detect faces in an image
19 - Tag and categorize images with image analysis

5. Text Analysis and Services

20 - Explore the features of Azure AI language analysis
21 - Extract information from text
22 - Sentiment analysis and language detection
23 - Summarize text

6. Speech Analysis and Creation

24 - Call transcription and analysis
25 - Pronunciation assessment and correction
26 - Explore the built-in voice agents
27 - Create a custom voice agent
28 - Create a life-like video avatar

7. Azure Applied AI Services

29 - Build intelligent bots with Azure Bot Service
30 - Streamline data extraction with Azure Document Intelligence
31 - Improve accessibility with Immersive Reader
32 - Detect anomalies with Azure Metrics Advisor
33 - Unlock smarter search with Azure Cognitive Search

8. Additional Services

34 - Reveal genetic insights with Microsoft Genomics
35 - Enhance content moderation with Azure AI Content Safety

Conclusion

36 - Next steps