AI-3016: Develop custom copilots with Azure AI Studio (AI-3016)
About this Course
Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Studio. Learn how to build generative AI applications like custom copilots that use language models and prompt flow to provide value to your users.
Audience Profile
AI Engineers, Data Scientists, students having knowledge in AI and willing to create custom copilots with Azure AI.
At Course Completion
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
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
Prerequisites
Before starting this course, you should be familiar with fundamental AI concepts and services in Azure.