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Develop your own custom copilots with Azure AI Studio

Offered By: Microsoft via Microsoft Learn

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Data Integration Courses Azure AI Studio Courses

Course Description

Overview

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  • Module 1: Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Azure AI Studio (preview) brings these services together in a single unified experience for AI development on the Azure cloud platform.

    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
  • Module 2: Get started with prompt flow to develop language model apps in the Azure AI Studio (preview).

    By the end of this module, you'll be able to:

    • 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.
  • Module 3: 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 (preview).

    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

Syllabus

  • Module 1: Module 1: Introduction to Azure AI Studio (preview)
    • Introduction
    • What is Azure AI Studio?
    • Azure AI hubs
    • Azure AI projects
    • Exercise - Explore Azure AI Studio
    • Knowledge check
    • Summary
  • Module 2: Module 2: Get started with prompt flow to develop language model apps in the Azure AI Studio (preview)
    • Introduction
    • Understand the development lifecycle of a large language model (LLM) app
    • Understand core components and explore flow types
    • Explore connections and runtimes
    • Explore variants and monitoring options
    • Exercise - Get started with prompt flow
    • Knowledge check
    • Summary
  • Module 3: Module 3: Build a copilot solution with your own data using Azure AI Studio (preview)
    • 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

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