Build with AI: Building a Copilot with Azure AI Foundry
51mIntermediate2024-10-04
Authors
Sam Nasr
Course details
Did you know that you can create and deploy your own AI copilot? Azure AI Studio is the all-in-one platform that lets you do it with ease. With a hands-on project, this course guides Azure developers of all abilities through the process of creating a custom copilot application using the core functionalities of Azure AI Studio. Join instructor Sam Nasr as he covers the basics of project setup, how to use the Playground, and how to avoid common pitfalls and mistakes along the way. By the end of this course, you’ll be prepared to use Azure AI Studio to create and deploy a copilot for production use, and manage your data like a pro.
Learning objectives
Develop and deploy a copilot according to best practices.
Create a copilot using SDK or CLI.
Learning objectives
Develop and deploy a copilot according to best practices.
Create a copilot using SDK or CLI.
Skills covered
Azure AI FoundryCloud AdministrationAI Productivity ToolsGenerative AIAzureSoftware Development ToolsArtificial Intelligence for BusinessCloud PlatformsArtificial Intelligence (AI)Cloud ComputingBusiness Software and ToolsMicrosoftSoftware DevelopmentDeep Dive (X:Y)
Concepts
0. Introduction
- 01 - Unleash your AI potential - Build a copilot with Azure AI Studio
- 02 - What you should know
1. Overview
- 03 - What is Copilot
- 04 - What is Azure AI Studio
- 05 - Project prerequisites
2. Project Setup
- 06 - Azure AI Studio project setup
- 07 - Azure AI Studio models
- 08 - Model deployment types
- 09 - Demo - Build your project
- 10 - Demo - Create a deployment
3. Using the Playground
- 11 - Using the system message and sections
- 12 - Adding your own data
- 13 - Parameters
- 14 - Demo - Testing in the Playground
- 15 - Demo - Chat capabilities
- 16 - Demo - Exploring the Chat Playground menu bar
- 17 - Demo - Add your data
- 18 - Demo - Evaluation
- 19 - Demo - Deployment
- 20 - Demo - Managing your data
4. Common Pitfalls and Next Steps
- 21 - Common pitfalls
- 22 - Best practices
- 23 - Managing cost
- 24 - Next steps