Develop generative AI apps in Azure (AI-3016)

 

Course Overview

Learn how to develop generative AI apps in Microsoft Foundry

Prerequisites

Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.

Course Content

Plan and prepare to develop AI solutions on Azure

  • Introduction
  • What is AI?
  • Microsoft Foundry
  • Foundry Tools
  • Developer tools and SDKs
  • Responsible AI
  • Exercise - Prepare for an AI development project
  • Module assessment
  • Summary

Select, deploy, and evaluate Microsoft Foundry models

  • Introduction
  • Explore the model catalog
  • Select models using benchmarks
  • Deploy models to endpoints
  • Evaluate model performance
  • Exercise - Select, deploy, and evaluate models
  • Knowledge check
  • Summary

Develop a generative AI chat app with Microsoft Foundry

  • Introduction
  • Explore with the model playground
  • Choose an endpoint and SDK
  • Generate responses with the Responses API
  • Generate responses with the ChatCompletions API
  • Exercise - Create a generative AI chat app
  • Knowledge check
  • Summary

Develop generative AI apps that use tools

  • Introduction
  • What are tools?
  • Use the code_interpreter tool
  • Use the web_search tool
  • Use the file_search tool
  • Use the function tool
  • Exercise - Create a generative AI chat app that uses tools
  • Module assessment
  • Summary

Optimize generative AI model performance with Microsoft Foundry

  • Introduction
  • Optimize model output with prompt engineering
  • Ground your model with Retrieval Augmented Generation
  • Fine-tune a model for consistent behavior
  • Compare and combine optimization strategies
  • Exercise - Optimize generative AI model performance
  • Module assessment
  • Summary

Implement a responsible generative AI solution in Microsoft Foundry

  • Introduction
  • Plan a responsible generative AI solution
  • Map potential harms
  • Measure potential harms
  • Mitigate potential harms
  • Manage a responsible generative AI solution
  • Exercise - Apply guardrails to prevent the output of harmful content
  • Module assessment
  • Summary

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • US $ 540.—
Classroom Training

Duration
1 day

Price
  • Singapore: US $ 540.—
  • Australia: US $ 675.—
  • India: US $ 399.—

Click on town name or "Online Training" to book Schedule

Europe

Germany

Berlin
Hamburg
Berlin
Hamburg
Berlin
Frankfurt
Hamburg
Munich

France

Online Training Time zone: Central European Summer Time (CEST) Course language: French
Online Training Time zone: Central European Summer Time (CEST) Course language: French
Online Training Time zone: Central European Time (CET) Course language: French

Italy

Online Training Time zone: Central European Summer Time (CEST) Course language: Italian Guaranteed date!
Online Training Time zone: Central European Summer Time (CEST) Course language: Italian

Poland

Warsaw
Warsaw

Switzerland

Online Training Time zone: Central European Summer Time (CEST) Course language: German
Online Training Time zone: Central European Time (CET) Course language: German

Ukraine

Kiev
Kiev

United Kingdom

Online Training Time zone: British Summer Time (BST) Course language: English
Online Training Time zone: Greenwich Mean Time (GMT) Course language: English
Guaranteed date:   iTLS will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training. If you have any questions about our online courses, feel free to contact us via phone or Email anytime.
This is a FLEX course, which is delivered both virtually and in the classroom.