AI-3016: Develop Copilots with Azure AI Studio

Overview Unlock the full potential of AI with this comprehensive course, designed to empower professionals in developing advanced AI applications. This course delves into Azure AI Studio, guiding you through provisioning and managing AI resources, and creating AI projects with ease. Participants will gain hands-on experience with prompt flow to develop language model applications and build Retrieval Augmented Generation (RAG)-based copilots using their data. _ This course is the replacement for Microsoft course AI-050. This course emphasizes responsible AI practices, equipping you with the skills to identify, measure, and mitigate potential harms in generative AI solutions. Ideal for those looking to enhance their AI capabilities, this course offers practical labs and real-world scenarios to ensure you can deploy and operate AI solutions responsibly. Audience Profile This course is ideal for AI developers, data scientists, and IT professionals who are responsible for developing, managing, or deploying AI solutions. It is also beneficial for technology managers and decision-makers looking to understand the capabilities and implementation of AI projects using Azure AI Studio. Prerequisites Familiarity with AI concepts and services in Azure COURSE OUTLINE Module 1: 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 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 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