Develop custom copilots with Azure AI Studio

Course Objectives

• Navigate and utilize Azure AI Studio’s core features and capabilities
• Provision and manage AI resources and projects within Azure AI Studio
• Develop and manage language model applications using prompt flow
• Implement RAG to enhance language models with custom data
• Develop responsible generative AI solutions, identifying and mitigating potential harms
• Practical skills through hands-on labs to reinforce theoretical knowledge

Prerequisites

 Before starting this course, you should be familiar with fundamental AI concepts and services in Azure.

Audience

AI Engineers, Data Scientists, students having knowledge in AI and willing to create custom copilots with Azure AI. 

Course Outline

Introduction to Azure AI Studio

• Describe core features and capabilities of Azure AI Studio
• Use Azure AI Studio to provision and manage an Azure AI resource
• Use Azure AI Studio to create and manage an AI project
• Understand when to use Azure AI Studio
• Lab: Explore Azure AI Studio

Get started with prompt flow to develop language model apps in the Azure AI Studio

• Understand the development lifecycle when creating language model applications.
• Understand what a flow is in prompt flow.
• Explore the core components when working with prompt flow.
• Lab: Get started with prompt flow

Build a RAG-based copilot solution with your own data using Azure AI Studio

• Identify the need to ground your language model with Retrieval Augmented Generation (RAG)
• Index your data with Azure AI Search to make it searchable for language models
• Build a copilot using RAG on your own data in the Azure AI Studio
• Lab: Create a custom copilot that uses your own data