Develop AI solutions in Azure (AI-102)

This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Foundry and other Azure AI services. They are familiar with C# or Python and have knowledge on using REST-based APIs and SDKs to build generative AI, computer vision, language analysis, and information extraction solutions on Azure.

Students will learn to:

• Describe considerations for AI-enabled application development
• Create, configure, deploy, and secure Azure Cognitive Services
• Develop applications that analyze text
• Develop speech-enabled applications
• Create applications with natural language understanding capabilities
• Create QnA applications
• Create conversational solutions with bots
• Use computer vision services to analyze images and videos
• Create custom computer vision models
• Develop applications that detect, analyze, and recognize faces
• Develop applications that read and process text in images and documents
• Create intelligent search solutions for knowledge mining

Module 1: Develop generative AI apps in Azure

• Plan and prepare to develop AI solutions on Azure
• Choose and deploy models from the model catalog in Azure AI Foundry portal
• Develop an AI app with the Azure AI Foundry SDK
• Get started with prompt flow to develop language model apps in the Azure AI Foundry
• Develop a RAG-based solution with your own data using Azure AI Foundry
• Fine-tune a language model with Azure AI Foundry
• Implement a responsible generative AI solution in Azure AI Foundry
• Evaluate generative AI performance in Azure AI Foundry portal

Module 2: Develop AI agents on Azure

• Get started with AI agent development on Azure
• Develop an AI agent with Azure AI Foundry Agent Service
• Integrate custom tools into your agent
• Develop an AI agent with Semantic Kernel
• Orchestrate a multi-agent solution using Semantic Kernel

Module 3: Develop natural language solutions in Azure

• Analyze text with Azure AI Language
• Create question answering solutions with Azure AI Language
• Build a conversational language understanding model
• Create a custom text classification solution
• Custom named entity recognition
• Translate text with Azure AI Translator service
• Create speech-enabled apps with Azure AI services
• Translate speech with the Azure AI Speech service
• Develop an audio-enabled generative AI application

Module 4: Develop computer vision solutions in Azure

• Analyze images
• Read text in images
• Detect, analyze, and recognize faces
• Classify images
• Detect objects in images
• Analyze video
• Develop a vision-enabled generative AI application
• Generate images with AI

Module 5: Develop AI information extraction solutions in Azure

• Create a multimodal analysis solution with Azure AI Content Understanding
• Create an Azure AI Content Understanding client application
• Use prebuilt Document intelligence models
• Extract data from forms with Azure Document intelligence
• Create a knowledge mining solution with Azure AI Search

Before attending this course, students must have:

• Knowledge of Microsoft Azure and ability to navigate the Azure porta
• Knowledge of either C# or Python
• Familiarity with JSON and REST programming semantics

To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.

If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one.

• M-AI900 - Microsoft Azure AI Fundamentals (AI-900)
• M-AZ900 - Introduction to Microsoft Azure (AZ-900)

Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution (beta)