Generative Artificial Intelligence (GenAI) is becoming more accessible through easy-to-use platforms like Azure AI Studio. This official Microsoft course, Create Custom Copilots with Azure AI Studio (AI-3016), teaches attendees how to build generative AI applications like custom copilots that use language models and prompt flow.
Skills Gained
- Understand Microsoft Azure's multiple services that enable developers to build AI-powered solutions
- Explore how Azure AI Studio integrates services into a single unified experience for AI development on the Azure cloud platform
- use prompt flow to develop applications that leverage language models in the Azure AI Studio
- Work with Copilots to provide suggestions, generate content, or help make decisions
- Understand how Generative AI must be implemented responsibly to minimize the risk of harmful content generation
Prerequisites
All attendees must be familiar with fundamental AI concepts and services in Azure.
Course Outline
Introduction to Azure AI Studio
- What is Azure AI Studio?
- How does Azure AI Studio work
- When to use Azure AI Studio
- Explore Azure AI Studio
Get Started with Prompt Flow to Develop Language Model Apps in the Azure AI Studio
- Understand the development lifecycle of a large language model (LLM) app
- Understand core components and explore flow types
- Explore connections and runtimes
- Explore variants and monitoring options
- Get started with prompt flow
Build a RAG-Based Copilot Solution with Your Own Data using Azure AI Studio
- Understand how to ground your language model
- Make your data searchable
- Build a copilot with prompt flow
- Create a custom copilot that uses your own data
Responsible Generative AI in AI Studio
- Plan a responsible generative AI solution
- Identify potential harms
- Measure potential harms
- Mitigate potential harms
- Operate a responsible generative AI solution
- Explore content filters in Azure AI Studio
Conclusion