Create Custom Copilots with Azure AI Studio 

Duration: 1 Day / 8 hrs

Introduction 

This one-day, hands-on workshop helps participants build custom copilots using Azure AI Studio, focusing on prompt flow, RAG-based solutions, and responsible GenAI practices. The course is designed to move quickly from platform basics to a working, data-grounded copilot. 

Objectives 

By the end of this course, participants will be able to: 

• Understand when and how to use Azure AI Studio 

• Build LLM applications using prompt flow 

• Create RAG-based copilots using their own data 

• Apply responsible GenAI principles using built-in Azure AI safeguards 

Key Takeaways 

Participants will leave with: 

• A working custom copilot built with Azure AI Studio 

• Practical experience with prompt flow and RAG patterns 

• Clarity on deploying safe, responsible GenAI solutions 

Training Methodology (Learning by Doing) 

• Hands-on from minute one with guided labs 

• Build-as-you-go approach using prompt flow 

• Realistic data grounding instead of toy examples 

• Live validation and iteration using monitoring and filters 

Course Outline 

Introduction to Azure AI Studio 

• What is Azure AI Studio? 

• How does it work? 

• When to use it 

• Exploring the platform 

Prompt Flow Development 

• LLM app development lifecycle 

• Core components and flow types 

• Connections, runtimes, variants, and monitoring 

• Getting started with prompt flow 

Building RAG-Based Copilot Solutions 

• Grounding language models 

• Making data searchable 

• Building copilots with prompt flow 

• Using your own data for customization 

Responsible Generative AI 

• Planning responsible GenAI solutions 

• Identifying and measuring potential harms 

• Mitigation strategies 

• Operating responsibly 

• Exploring Azure AI Studio’s content filters