• Course overview
  • Course details
  • Prerequisites

Course overview

Develop Generative AI Apps in Azure AI Foundry empowers learners to design, deploy, and optimize generative AI applications using Azure's cutting-edge AI Foundry portal. This course provides hands-on experience in managing AI resources, fine-tuning models, building RAG-based agents, and ensuring responsible AI practices. Explore tools like prompt flow, language model deployment, and evaluation techniques to deliver impactful AI solutions.

Audience profile

  • Data Scientist
  • AI Engineer

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Course details

Module 1: Introduction to Azure AI Foundry

  • Describe core features and capabilities of Azure AI Foundry
  • Use Azure AI Foundry to provision and manage an Azure AI resource
  • Use Azure AI Foundry to create and manage an AI project
  • Understand when to use Azure AI Foundry
  • Lab: Explore the Azure AI Foundry portal

 

Module 2: Explore and deploy models from the model catalog in Azure AI Foundry portal

  • Select a language model from the model catalog.
  • Deploy a model to an endpoint.
  • Test a model and improve the performance of the model.
  • Lab: Explore, deploy, and chat with language models

 

Module 3: Get started with prompt flow to develop language model apps in the Azure AI Foundry

  • 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.
  • Lab: Get started with prompt flow

 

Module 4: Build a RAG-based agent with your own data using Azure AI Foundry

  • 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 an agent using RAG on your own data in the Azure AI Foundry portal
  • Lab: Create a custom agent that uses your own data

 

Module 5: Fine-tune a language model with Azure AI Foundry

  • Understand when to fine-tune a model.
  • Prepare your data to fine-tune a chat completion model.
  • Fine-tune a base model in the Azure AI Foundry portal.
  • Lab: Fine-tune a foundation model

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Prerequisites

NA

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