AI-3016: Develop generative AI apps in Azure

Course AI-3016: Develop generative AI apps in Azure

Generative artificial intelligence (AI) is becoming more accessible through comprehensive development platforms, such as Azure AI Foundry . Learn how to build generative AI applications that use language models to communicate with your users.

Level: Intermediate - Product: Azure AI services - Subject: Artificial intelligence - Role: Data Scientist AI Engineer

Course aimed at

This course is designed for data scientists and AI engineers with existing knowledge of generative AI models and Python who want to create, customize, and deploy their own copilots.

AI-3016 Training Objectives

Upon completion of this course, you will be able to:

• Planning and preparing to develop artificial intelligence solutions on Azure
• Select and deploy models from the model catalog
• Develop an AI application with the Azure AI Foundry SDK
• Develop a RAG-based solution with your own data using Azure AI Foundry
• Tuning a language model with Azure AI Foundry
• Implement a responsible generative AI solution on Azure AI Foundry
• Evaluate generative AI performance in the Azure AI Foundry Portal

AI-3016 Course Content

Module 1: Planning and preparing to develop artificial intelligence solutions in Azure

• Introduction
  
• What is artificial intelligence?
  
• Azure AI Services
  
• Azure AI Foundry
  
• Development Tools and SDKs
  
• Responsible artificial intelligence
  
• Exercise: Preparing for an AI Development Project

Module 2: Choosing and deploying models from the model catalog in the Azure AI Foundry portal

• Introduction
• Browsing language models in the model catalog
  
• Deploying a model to an endpoint
  
• Improving the performance of a language model
  
• Exercise: Exploring, Implementing, and Chatting with Language Models

Module 3: Developing an AI Application with the Azure AI Foundry SDK

• Introduction
  
• What is the Azure AI Foundry SDK?
  
• Working with project connections
  
• Creating a chat client
  
• Exercise: Creating a Generative AI Chat App

Module 4: Introduction to the prompt flow for developing language model applications in Azure AI Foundry

• Introduction
  
• Description of the development life cycle of a large language model (LLM) application
  
• Understanding the main components and exploring flow types
  
• Connection and runtime exploration
  
• Exploring variants and monitoring options
  
• Exercise: Introduction to the notification flow

Module 5: Developing a RAG-based solution with your own data using Azure AI Foundry

• Introduction
  
• Understanding how to ground your language model
  
• Making data discoverable
  
• Creating a RAG-based client application
  
• Implement RAG in a notification flow
  
• Exercise: Creating a generative AI application that uses your own data

Module 6: Tuning a Language Model with Azure AI Foundry

• Introduction
  
• Understanding when to optimize a language model
  
• Preparing data to optimize a chat completion model
  
• Exploring AI Optimization Language Models in Azure Studio
  
• Exercise: Adjusting a base model

Module 7: Implementing a Responsible Generative AI Solution on Azure AI Foundry

• Introduction
  
• Planning a Responsible Generative AI Solution
  
• Mapping potential harms
  
• Measuring possible damage
  
• Mitigate potential damage
  
• Managing a Responsible Generative AI Solution
  
• Exercise: Applying content filters to prevent harmful content from being released

Module 8: Evaluating Generative AI Performance in the Azure AI Foundry Portal

• Introduction
  
• Model performance evaluation
  
• Manually evaluate the performance of a model
  
• Automated assessments
  
• Evaluating the performance of generative AI applications
  
• Exercise: Evaluating the performance of the generative AI model

Prerequisites

Familiarity with fundamental AI concepts and services in Azure is recommended. You should also be proficient in programming with Python or Microsoft C#.

Language

• Course: English / Spanish
  

Microsoft Applied Skills

This course is part of the Microsoft Applied Skills Credentials.

Earn this Microsoft Applied Skills credential. In this course, you'll learn how to develop your own custom copilots using Azure AI Studio.

Applied Skills: Explore all credentials in one guide