Copilot Foundations (AI-3018)
Copilot Foundations introduces participants to the basics of generative AI and language models, focusing on creating, testing, and managing intelligent AI copilots. Through hands-on labs using Microsoft Copilot and Azure AI Studio, learners will explore effective prompting techniques, develop custom copilot solutions using Retrieval Augmented Generation (RAG) with their own data, and gain practical experience in managing AI projects and resources.
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
Train face-to-face with the live instructor.
Access to on-demand training content anytime, anywhere.
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.
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Prerequisites:
Familiarity with Azure and the Azure portal.
Target Audience:
- Data Scientist
- AI Engineer
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
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