Develop your own custom copilots with Azure AI Studio

Overzicht

• Module 1:

  Overview of Azure AI Studio

  Microsoft Azure offers multiple services that enable developers to build 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:

  Developing Language Model Apps Using Prompt Flow

  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:

  Building Custom Copilots with RAG

  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 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

Provider:

Microsoft Learn

Categories:

Data Integration Courses

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