GitHub responsible AI

Microsoft via Microsoft Learn

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Overview

Module 1: This module introduces common AI workloads and their corresponding Azure AI Services. It also introduces Microsoft's Responsible AI policies.In this module, you'll learn about the kinds of solutions AI can make possible and considerations for responsible AI practices. Module 2: Understand how to use Azure AI Face to detect and analyze faces.Learn how to use Azure AI Face service to detect and analyze faces in images. Module 3: Learn about how large language models form the foundation of...

Syllabus

Module 1: Module 1: Fundamental AI Concepts
- Introduction to AI
- 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
- Knowledge check
- Summary

Module 2: Module 2: Fundamentals of Facial Recognition
- Introduction
- Understand facial analysis
- Get started with facial analysis on Azure
- Exercise - Detect faces in Vision Studio
- Knowledge check
- Summary

Module 3: Module 3: Fundamentals of Generative AI
- Introduction
- What is generative AI?
- What are language models?
- Using language models
- What are copilots?
- Microsoft Copilot
- Considerations for Copilot prompts
- Extending and developing copilots
- Exercise - Explore Microsoft Copilot
- Knowledge check
- Summary

Module 4: Module 4: Embrace responsible AI principles and practices
- Introduction
- Prepare for the implications of responsible AI
- Identify guiding principles for responsible AI
- Design a system for AI governance
- Applying systems for AI governance
- Responsible AI at Microsoft
- Put responsible AI frameworks in action
- Knowledge check
- Summary