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 chat 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.

Objectives of the AI-3016 training

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

• Planning and preparation for developing artificial intelligence solutions in Azure
• Select and implement models from the model catalog
• Develop an AI application using the Azure AI Foundry SDK
• Develop a RAG-based solution using your own data with Azure AI Foundry
• Tuning a language model with Azure AI Foundry
• Implement a responsible generative AI solution in Azure AI Foundry
• Evaluate the performance of generative AI in the Azure AI Foundry Portal

AI-3016 Course Content

Module 1: Planning and preparation for developing artificial intelligence solutions in Azure

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

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

• Introduction
• Exploring language models in the model catalog
  
• Implementation of a model at a connection point
  
• Improving the performance of a language model
  
• Exercise: Exploration, implementation, and chat 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 application

Module 4: Introduction to the notification flow for developing linguistic modeling 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 the types of flow
  
• Connection exploration and runtime
  
• Exploration of monitoring variants and options
  
• Exercise: Introduction to 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
  
• Make the data findable
  
• Creating a RAG-based client application
  
• Implement RAG in an alert flow
  
• Exercise: Create 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 the data to optimize a chat completion model
  
• Exploring Azure Studio AI Optimization Language Models
  
• Exercise: Fitting a base model

Module 7: Implementing a Responsible Generative Artificial Intelligence Solution in Azure AI Foundry

• Introduction
  
• Planning a responsible generative AI solution
  
• Map the potential damages
  
• Measurement of potential damages
  
• Mitigate potential damage
  
• Managing a responsible generative AI solution
  
• Exercise: Applying content filters to prevent harmful content from being displayed

Module 8: Evaluating the performance of generative artificial intelligence in the Azure AI Foundry portal

• Introduction
  
• Model performance evaluation
  
• Manually evaluate the performance of a model
  
• Automated assessments
  
• Performance evaluation 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. Proficiency in Python or Microsoft C# programming is also required.

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 to develop your own custom copilots using Azure AI Studio.

Applied Skills: Explore all credentials in one guide