Cloud Private Public

Develop generative AI apps in Azure (AI-3016)

1 day

Learn to build generative AI apps in Azure with Microsoft Foundry, including model deployment, prompt flow, RAG, fine-tuning, evaluation, and responsible AI.

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Course Overview

Generative AI is increasingly accessible through platforms such as Microsoft Foundry. In this one-day course, you will learn to develop generative AI applications in Azure using language models, the Microsoft Foundry SDK, and prompt flow.

You will explore model selection and deployment, build chat and retrieval-augmented generation (RAG) solutions grounded in your own data, fine-tune language models, evaluate performance, and apply responsible AI practices.

Course Benefits

Plan and prepare to develop AI solutions in Azure
Choose, deploy, and optimize models from the Microsoft Foundry model catalog
Develop AI applications and chat clients with the Microsoft Foundry SDK
Use prompt flow to create and monitor language model applications
Ground language models with searchable data and build RAG-based solutions
Prepare data and fine-tune language models in Microsoft Foundry
Identify, measure, mitigate, and manage potential AI harms
Evaluate generative AI performance manually and through automated evaluations

Delivery Methods

Public Class
Live expert-led online training from anywhere. Guaranteed to run .

Private Class
Delivered for your team at your site or online.

Microsoft Certified Partner

Webucator is a Microsoft Certified Partner. This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).

Course Outline

Plan and prepare to develop AI solutions on Azure
1. What is AI?
2. Foundry tools
3. Microsoft Foundry
4. Developer tools and SDKs
5. Responsible AI
6. Module assessment
Choose and deploy models from the model catalog in Microsoft Foundry portal
1. Explore the model catalog
2. Deploy a model to an endpoint
3. Optimize model performance
4. Module assessment
Develop an AI app with the Microsoft Foundry SDK
1. What is the Microsoft Foundry SDK?
2. Work with project connections
3. Create a chat client
4. Module assessment
Get started with prompt flow to develop language model apps in Microsoft Foundry
1. Understand the development lifecycle of a large language model (LLM) app
2. Understand core components and explore flow types
3. Explore connections and runtimes
4. Explore variants and monitoring options
5. Module assessment
Develop a RAG-based solution with your own data using Microsoft Foundry
1. Understand how to ground your language model
2. Make your data searchable
3. Create a RAG-based client application
4. Implement RAG in a prompt flow
5. Module assessment
Fine-tune a language model with Microsoft Foundry
1. Understand when to fine-tune a language model
2. Prepare your data to fine-tune a chat completion model
3. Explore fine-tuning language models in Microsoft Foundry portal
4. Module assessment
Implement a responsible generative AI solution in Microsoft Foundry
1. Plan a responsible generative AI solution
2. Map potential harms
3. Measure potential harms
4. Mitigate potential harms
5. Manage a responsible generative AI solution
6. Module assessment
Evaluate generative AI performance in Microsoft Foundry portal
1. Assess model performance
2. Manually evaluate the performance of a model
3. Automated evaluations
4. Module assessment

Class Materials

Each student receives a comprehensive set of materials, including course notes and all class examples.

Class Prerequisites

Experience in the following is required for this Azure class:

You should be familiar with fundamental AI concepts and services in Azure before starting this course.

Have questions about this course?

We can help with curriculum details, delivery options, pricing, or anything else. Reach out and we’ll point you in the right direction.

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