AI-3018 | Copilot Foundations
 
Copilots are quickly becoming a popular way to use with AI models, automate tasks, and improve productivity. In this learning path, you'll explore options for adopting, using, and creating copilots.
 
Prerequisites
Familiarity with Azure and the Azure portal.
 
Course Outline
Module 1: Fundamentals of Generative AI
In this module, you explore the way in which language models enable AI applications and services to generate original content based on natural language input. You also learn how generative AI enables the creation of copilots that can assist humans in creative tasks.
Introduction
What is generative AI?
What are language models?
Using language models
What are copilots?
Microsoft Copilot
Considerations for Copilot prompts
Extending and developing copilots
Exercise - Explore Microsoft Copilot
Knowledge check
Summary
By the end of this module, you are able to:
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.
Module 2: Get started with Microsoft Copilot Studio
Microsoft Copilot Studio allows organizations to quickly create copilots based on business scenarios their customers and employees can easily interact with as needed. In this module, you're introduced to key concepts for copilots.
Introduction
Get started working with environments
Create copilots and work with the Microsoft Copilot Studio interface
Create topics
Enhancing productivity with Generative AI
Test your copilots
Publish bots and analyze performance
Exercise - Create a copilot with Copilot Studio
Check your knowledge
Summary
This module explains how to:
Create copilots.
Test copilots.
Analyze performance.
Module 3: Introduction to Azure AI Studio
Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Azure AI Studio brings these services together in a single unified experience for AI development on the Azure cloud platform.
Introduction
What is Azure AI Studio?
How does Azure AI Studio work
When to use Azure AI Studio
Exercise - Explore Azure AI Studio
Knowledge check
Summary
By the end of this module, you'll be able to:
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
Module 4: Build a RAG-based copilot solution with your own data using Azure AI Studio
Copilots can work alongside you to provide suggestions, generate content, or help you make decisions. Copilots use language models as a form of generative artificial intelligence (AI) and will answer your questions using the data they were trained on. To ensure a copilot retrieves information from a specific source, you can add your own data when building a copilot with the Azure AI Studio.
Introduction
Understand how to ground your language model
Make your data searchable
Build a copilot with prompt flow
Exercise - Create a custom copilot that uses your own data
Knowledge check
Summary
By the end of this module, you'll be able to:
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
 
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