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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

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

Units in this learning path:

• Introduction
• Chat Playground
• Microsoft Foundry Sdk
• Responses API
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry, Azure AI Foundry Sdk

Roles: AI Engineer, Developer

Level: Beginner

Subjects: Artificial Intelligence

Duration: 43 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, Microsoft Foundry

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 395 minutes

Learn how to develop generative AI apps in Microsoft Foundry. (AI-3016)

Modules in this learning path:

• Prepare Azure AI Development
• Model Catalog Evaluate
• Foundry Sdk
• Optimize Generative AI Model Performance
• Responsible AI Studio

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

Roles: Data Scientist, AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 317 minutes

Develop natural language solutions in Azure

Modules in this learning path:

• Analyze Text AI Language
• Create Question Answer Solution AI Language
• Build Language Understanding Model
• Custom Text Classification
• Custom Name Entity Recognition
• Translate Text with Translator Service
• Create Speech Enabled Apps
• Translate Speech Speech Service
• Develop Generative AI Audio Apps
• Develop Voice Live Agent

Products: AI Services, Microsoft Foundry

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Natural Language Processing

Duration: 518 minutes

In this course, you will explore the generative artificial intelligence (generative AI) application lifecycle, which includes defining a business use case, selecting a foundation model (FM), improving the performance of an FM, evaluating the…

In this machine learning course, you will learn about the machine learning lifecycle, and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate…