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Learn how to develop AI agents on Azure using the Microsoft Foundry Agent Service and Semantic Kernel Agent Framework. AI-3026

Modules in this learning path:

• AI Agent Fundamentals
• Develop AI Agent Azure
• Develop AI Agents Vs Code
• Build Agent with Custom Tools
• Develop Multi Agent Azure AI Foundry
• Connect Agent to Mcp Tools
• Develop AI Agent with Semantic Kernel
• Orchestrate Sk Multi Agent Solution
• Discover Agents with A2a

Products: AI Services, Azure AI Foundry, Azure AI Foundry Agent Service, Azure AI Foundry Sdk

Roles: AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning, Natural Language Processing

Duration: 486 minutes

Learn how to build, test, and deploy AI agents using the Microsoft Foundry extension in Visual Studio Code.

Units in this learning path:

• Introduction
• Get Started with Extension
• Agent Development
• Extend Agent Capabilities
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry, Azure AI Foundry Agent Service

Roles: AI Engineer, Data Scientist

Level: Beginner

Subjects: Artificial Intelligence

Duration: 48 minutes

Use Azure AI to extract information from content. (AI-3002)

Modules in this learning path:

• Analyze Content AI
• Analyze Content AI API
• Use Prebuilt Form Recognizer Models
• Work with Form Recognizer
• AI Knowledge Mining

Products: AI Services, Azure AI Foundry, Azure Cognitive Search

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 258 minutes

Retrieval Augmented Generation (RAG) is a common pattern used in generative AI solutions to *ground* prompts with your data. Microsoft Foundry provides support for adding data, creating indexes, and integrating them with generative AI models to help you build RAG-based solutions.

Units in this learning path:

• Introduction
• Ground Language Model
• Search Data
• Openai Client
• Build Copilot
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry, Azure Cognitive Search

Roles: Data Scientist, AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning, Natural Language Processing

Duration: 78 minutes

Break down complex tasks with intelligent collaboration. Learn how to design multi-agent solutions using connected agents.

Units in this learning path:

• Introduction
• Understand Connected Agents
• Design Multi Agent Solution
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry, Azure AI Foundry Agent Service, Azure AI Foundry Sdk

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 46 minutes

A picture says a thousand words, and multimodal generative AI models can interpret images to respond to visual prompts. Learn how to build vision-enabled chat apps.

Units in this learning path:

• Introduction
• Deploy Multimodal Models
• Develop Visual Chat Apps
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry, Azure AI Foundry Sdk

Roles: AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 43 minutes

Learn how to start building agents with Microsoft Agent Framework

Units in this learning path:

• Introduction
• Understand Semantic Kernel Agents
• Create Azure AI Agent
• Add Plugins to Agent
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry, Azure AI Foundry Agent Service

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 55 minutes

Learn how to start using Microsoft Foundry Agent Service.

Units in this learning path:

• Introduction
• What Is AI Agent
• How Use Agent Service
• When Use Agent Service
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry, Azure AI Foundry Agent Service, Azure AI Foundry Sdk

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 55 minutes

Use the Microsoft Foundry SDK to develop AI applications with Microsoft Foundry projects.

Units in this learning path:

• Introduction
• Azure AI Foundry Sdk
• Connections
• Chat Client
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry, Azure AI Foundry Sdk

Roles: AI Engineer, Developer

Level: Beginner

Subjects: Artificial Intelligence

Duration: 55 minutes

Learn how to develop an Azure AI Voice Live Agent using the Voice Live API and SDK.

Units in this learning path:

• Introduction
• Voice Live API
• Voice Live Sdk
• Exercise Develop Agent
• Knowledge Check
• Summary

Products: Azure AI Foundry, AI Services

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 51 minutes

A voice carries meaning beyond words, and audio-enabled generative AI models can interpret spoken input to understand tone, intent, and language. Learn how to build audio-enabled chat apps that listen and respond to audio.

Units in this learning path:

• Introduction
• Deploy Multimodal Models
• Develop Audio Chat Apps
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry, Azure AI Foundry Sdk

Roles: AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 43 minutes

Learn how to develop computer vision solutions in Azure

Modules in this learning path:

• Analyze Images
• Read Text Images Documents with Computer Vision Service
• Detect Analyze Recognize Faces
• Classify Images
• Detect Objects Images
• Analyze Video
• Develop Generative AI Vision Apps
• Generate Images Azure Openai

Products: AI Services, Azure Computer Vision, Azure Face, Azure Video Indexer, Azure AI Foundry

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 395 minutes