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
Agenda
- 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
- 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
- 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
- Describe an overall process for responsible generative AI solution development
- Identify and prioritize potential harms relevant to a generative AI solution
- Measure the presence of harms in a generative AI solution
- Mitigate harms in a generative AI solution
- Prepare to deploy and operate a generative AI solution responsibly
- Lab Explore content filters in Azure AI Studio
FREE
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Course Type: Instructor Led