Unlock your full potential with AI technology through this comprehensive course, carefully designed to empower professionals who want to develop advanced AI applications. This course provides an in-depth exploration of Azure AI Studio, guiding you through the process of provisioning and managing AI resources while creating sophisticated AI projects. Participants will gain extensive hands-on experience with prompt flow for developing language model applications and constructing Retrieval Augmented Generation (RAG)-based copilots using proprietary organizational data.
This course emphasizes the importance of responsible AI practices, equipping you with essential skills to identify, measure, and mitigate potential harms in generative AI solutions. Ideal for professionals seeking to enhance their AI capabilities, this course combines practical laboratory work with real-world scenarios to ensure you can confidently deploy and operate AI solutions in a responsible manner.
Audience Profile:
This course is well-suited for AI developers, data scientists, and IT professionals who are responsible for developing, managing, or deploying AI solutions. It is also highly beneficial for technology managers and decision-makers who need to understand the capabilities and implementation details of AI projects using Azure AI Studio.
Prerequisites:
TBD
Course Outline
Module 1: Introduction to Azure AI Studio
- Describe the 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
Module 2: 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 a prompt flow
- Explore the core components when working with prompt flow
- Lab: Get started with prompt flow
Module 3: 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
Module 4: Responsible generative AI in AI Studio
- 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
