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AI gives you the power to unlock insights from your data. In this module, you'll learn how to use Foundry Tools to extract information from content.

Units in this learning path:

• Introduction
• Azure AI Services
• Azure AI Vision
• Content Understanding
• Document Intelligence
• AI Search
• Exercise
• Knowledge Check
• Summary

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

Roles: AI Engineer

Level: Beginner

Subjects: Artificial Intelligence

Duration: 60 minutes

This module introduces Microsoft Foundry and its capabilities for building AI solutions. Explore the key features and benefits of using Azure for AI development.

Units in this learning path:

• Introduction
• Concepts
• Components
• Microsoft Foundry
• Foundry Projects
• About Azure
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry

Roles: AI Engineer, Data Scientist, Developer, Solution Architect, Student

Level: Beginner

Duration: 50 minutes

Azure Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios. Learn how to use the Azure Vision service to analyze images.

Units in this learning path:

• Introduction
• Azure AI Vision
• Image Service
• Face Service
• Azure AI Foundry
• Exercise
• Knowledge Check
• Summary

Products: AI Services, Azure AI Foundry

Roles: AI Engineer, Data Scientist, Developer, Solution Architect, Student

Level: Beginner

Subjects: Classification Analysis

Duration: 50 minutes

Learn how you can build generative AI applications and agents in Microsoft Foundry. Understand how to use Microsoft Foundry's extensive model marketplace, playgrounds, and evolving features.

Units in this learning path:

• Introduction
• Generative AI
• Tools to Develop Solutions
• Model Catalog
• Foundry Capabilities
• Observability
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry

Roles: AI Engineer, Data Scientist, Developer, Solution Architect, Student

Level: Beginner

Duration: 67 minutes

Explore Azure Language's text analysis features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.

Units in this learning path:

• Introduction
• Azure Language
• Azure Text Analysis
• More Language Capabilities
• Azure Translator
• Get Started Foundry
• Exercise
• Knowledge Check
• Summary

Products: AI Services, Azure AI Foundry

Roles: AI Engineer, Data Scientist, Developer, Solution Architect, Student

Level: Beginner

Subjects: Natural Language Processing

Duration: 45 minutes

Learn how to use Azure Speech in Foundry Tools to recognize and synthesize speech.

Units in this learning path:

• Introduction
• Understand Speech
• Get Started Azure
• Use Azure Speech
• Exercise Transcribe Speech Use Azure
• Knowledge Check
• Summary

Products: AI Services, Azure AI Foundry

Roles: AI Engineer, Student

Level: Beginner

Subjects: Artificial Intelligence, Natural Language Processing

Duration: 41 minutes

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This learning plan pulls…

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This learning plan pulls…

In this course, developers familiar with C# will learn how to use AWS App Runner to write and launch container images into the Amazon Web Services (AWS) Cloud. During the course, learners use .NET 6 to build Linux containers that run C# code.…

In this course, developers who use C# will learn how to create and deploy .NET applications in AWS Cloud using AWS Lambda. It includes step-by-step tutorials. This course includes tutorials.

This course helps developers, DevOps engineers, and solutions architects understand and work with containerized .NET applications and services using Amazon Elastic Container Service (Amazon ECS), AWS Fargate, and Amazon Elastic Container Registry…

21st Century Learning Design (21CLD) provides educators clear and practical ways to develop 21st skills using digital tools.

Modules in this learning path:

• Transform Learning 21st Century Learning Design
• Develop Critical Thinking Skills with 21cld
• Practice Collaborative Skills 21cld Collaboration
• Innovate Learning 21cld
• Improve Communication Skills 21cld
• Develop Learner Executive Function
• Deepen Educational Experiences
• Embed 21st Century Skills 21st Century Learning Design

Products: M365 Education

Roles: K 12 Educator, School Leader

Level: Intermediate

Duration: 401 minutes