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Overview
Module 1: Learn about how large language models form the foundation of generative AI applications and understand how to work with Microsoft Copilot. By the end of this module, you are able to: Understand generative AI's place in the development of artificial intelligence. Understand language models and their role in intelligent applications. Describe examples of copilots and good prompts. Module 2: In this module, you're introduced to key concepts to build a basic Microsoft Copilot Studio copilot. This module explains...
Syllabus
- Introduction
- What is generative AI?
- How do language models work?
- Understand how transformers advance language models
- Understand differences in language models
- Improve prompt results
- Evaluate for quality responses
- Create responsible generative AI solutions
- Exercise - Explore generative AI in Azure AI Foundry portal
- Module assessment
- Summary
- Introduction
- Get started working with environments
- Create agents and work with the Microsoft Copilot Studio interface
- Create topics
- Enhancing productivity with Generative AI
- Test your agents
- Publish agents and analyze performance
- Exercise - Create an agent with Microsoft Copilot Studio
- Check your knowledge
- Summary
- Introduction
- What is AI?
- Azure AI services
- Azure AI Foundry
- Developer tools and SDKs
- Responsible AI
- Exercise - Prepare for an AI development project
- Module assessment
- Summary
- Introduction
- Understand how to ground your language model
- Make your data searchable
- Create a RAG-based client application
- Implement RAG in a prompt flow
- Exercise - Create a generative AI app that uses your own data
- Module assessment
- Summary
Instructor
Microsoft
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