AI-3018: Copilot Foundations
AI-3018: Copilot Foundations focuses on the core concepts of Generative AI, Microsoft Copilot, and Azure AI Studio. Participants will build and manage AI copilots while learning to integrate Retrieval Augmented Generation (RAG) for custom solutions. The course includes practical labs in Copilot development and project management, enabling learners to create and optimize copilots using their own data.
Course Objectives
- Fundamentals of Generative AI
- Get started with Microsoft Copilot Studio
- Introduction to Azure AI Studio
- Build a RAG-based copilot solution with your own data using Azure AI Studio
Who should attend
- Data Scientist
- AI Engineer
Prerequisites
Recommended
- Familiarity with Azure and the Azure portal.
Course Outline
Fundamentals of Generative AI
- Understand generative AI's place in the development of artificial intelligence
- Understand language models and their role in intelligent applications
- Describe examples of copilots and good prompts
- Lab: Explore Microsoft Copilot
Get started with Microsoft Copilot Studio
- Create copilots
- Test copilots
- Analyze performance
- Lab: Microsoft Copilot Studio
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
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
