AI-3016: Develop generative AI apps in Azure AI Foundry portal

AI-3016: Develop generative AI apps in Azure AI Foundry portal

Welcome to AI-3016: Develop generative AI apps in Azure AI Foundry portal course that will teach you how to build generative Artificial Intelligence (AI) applications using Azure AI Foundry. Azure AI Foundry brings multiple AI services together in a single unified experience on the Azure cloud platform. Learn how to use language models with prompt flow, apply grounding with you own data, evaluate the performance of your language models, and develop with responsible AI in mind.


Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Foundry. Learn how to build generative AI applications that use language models with prompt flow to provide value to your users.


This course will build on these topics with hands-on lab learnings and Knowledge Check questions.

Microsoft Learn

Virtual Instructor-Led Training

Course Duration: 1-Day (8-Hours)

Microsoft Official Lab Exercises

Microsoft Certified Trainer

Cloud Lab Access

Overview

Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Proper planning and preparation involves identifying the services you'll use and creating an optimal working environment for your development team.

 

Explore the various language models that are available through the Azure AI Foundry's model catalog. Understand how to select, deploy, and test a model, and to improve its performance. Use the Azure AI Foundry SDK to develop AI applications with Azure AI Foundry projects.

 

Agents can work alongside you to provide suggestions, generate content, or help you make decisions. Agents 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 an agent retrieves information from a specific source, you can add your own data when building an agent with the Azure AI Foundry. Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.

Modules

Module 1: Introduction to Azure AI Foundry

  • Introduction
  • What is AI?
  • Azure AI services
  • Using Azure AI Foundry
  • Developer tools and SDKs
  • Responsible AI
  • Exercise: Explore the Azure AI Foundry Portal

Module 2: Implement responsible generative AI in Azure AI Foundry

  • Plan a responsible AI generative AI solution
  • Operate a responsible generative AI solution

Module 3: Configure model deployment in Azure AI Foundry

  • Select a model from the Model catalog
  • Compare benchmarks across models
  • Deploy a model to an endpoint
  • Apply prompt engineering
  • Improve the model performance

Module 4: Custom generative AI apps with prompt flow

  • Explore the language app development lifecycle
  • Understand a flow and its components
  • Optimize your flow with variants

Module 5: Apply grounding with your own data in Azure AI Foundry

  • Identify the need to ground your language model with Retrieval Augmented Generation (RAG)
  • Understand how data is retrieved from your data source to make it accessible for language models
  • Build a generative AI app using prompt flow and RAG with your own data in the Azure AI Foundry

Module 6: Integrate a fine-tuned language model in the Azure AI Foundry

  • Identify how fine-tuning is related to RAG and prompt engineering, and when fine-tuning is necessary
  • Understand how to fine-tune a model and configure advanced options
  • Prepare your data to be used in fine-tuning

Module 7: Evaluate the performance of your generative AI app in the Azure AI Foundry portal

  • Explore the evaluation of custom apps
  • Explore manual evaluations
  • Assess your generative AI app with built-in metrics

Fees And Schedule

Instructor-Led Training

8-Hour of Instructor-Led Training One to one doubt resolution sessions Microsoft Official Lab Access

Learning Objectives

After completing the course, students will be able to:
  • Introduction to Azure AI Foundry
  • Implement responsible generative AI in Azure AI Foundry
  • Configure model deployment in Azure AI Foundry
  • Custom generative AI apps with prompt flow
  • Apply grounding with your own data in Azure AI Foundry
  • Integrate a fine-tuned language model in the Azure AI Foundry
  • Evaluate the performance of generative AI apps with Azure AI Foundry portal

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