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Detect, analyze, and recognize faces

Units in this learning path:

• Introduction
• Understand Capabilities of Face Service
• Detect Analyze Faces
• Compare Match Detected Faces
• Understand Considerations for Face Analysis
• Exercise Identify Faces
• Knowledge Check
• Summary

Products: Azure Computer Vision, Azure Face, Azure AI Foundry

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 54 minutes

Explore the importance of adopting an implementation methodology for successful Dynamics 365 projects, including common types and approaches.

Units in this learning path:

• Introduction
• Project Methodology
• Project Phases
• Lifecycle Services
• Assignment
• Check
• Summary

Products: Dynamics 365, Dynamics Finance, Dynamics Sales, Customer Insights Journeys, Dynamics Scm, Dynamics Business Central, Dynamics Field Service, Dynamics Customer Service, Dynamics Project Operations, Dynamics Human Resources, Dynamics Iom, Power Apps, Power Automate, Dataverse

Roles: Business Analyst, Business User, Student, Functional Consultant, Maker

Level: Beginner

Subjects: Business Applications

Duration: 76 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 is…

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 is…

This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training DevOps Engineering on AWS. Students of that class may find the labs in this playlist to be useful hands-on practice

Explore DevOps practices using GitHub. Your development and operations teams will experience improved collaboration, agility, continuous integration, continuous delivery, automation, and operational excellence throughout all phases of the application lifecycle. (AZ-2008)

Modules in this learning path:

• Discover Devops
• Plan with Devops
• Develop with Devops
• Deliver with Devops
• Operate with Devops

Products: Github, Azure, Azure Cloud Services, Azure Devops

Roles: Administrator, Developer, Devops Engineer, Security Engineer, Security Operations Analyst, Solution Architect, Student, Support Engineer

Level: Beginner

Subjects: Devops, Cloud Computing, Cloud Security, Key Management, Information Protection Governance, Identity Access, Compliance

Duration: 269 minutes

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

Modules in this learning path:

• Develop AI Agents Azure Vs Code
• Build Agent with Custom Tools
• Connect Agent to Mcp Tools
• Introduction Foundry Iq
• Integrate Foundry Agent with M365
• Build Agent Workflows Microsoft Foundry
• Develop AI Agent with Semantic Kernel
• Orchestrate Sk Multi Agent Solution
• Discover Agents with A2a

Products: Foundry Tools, Microsoft Foundry

Roles: AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning, Natural Language Processing

Duration: 593 minutes

Learn how to build, test, and deploy AI agents using Microsoft Foundry Agent Service through both the Azure portal and Visual Studio Code extension.

Units in this learning path:

• Introduction
• Understand AI Agents Foundry
• Explore Development Approaches
• Build Agent Azure Portal
• Set Up Vs Code
• Configure Manage Agents
• Extend Agent Capabilities
• Test Deploy Integrate
• Exercise
• Knowledge Check
• Summary

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

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

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 96 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, 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: Foundry Tools, Microsoft Foundry, Azure Cognitive Search

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 258 minutes

Learn how to develop AI solutions using Azure Cosmos DB for NoSQL, including vector search and query optimization for RAG pipelines and semantic retrieval.

Modules in this learning path:

• Build Query Azure Cosmos Db
• Implement Vector Search Azure Cosmos Db
• Optimize Query Performance Azure Cosmos Db

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Databases, Artificial Intelligence

Duration: 252 minutes

Learn how to develop AI solutions using Azure Database for PostgreSQL, including vector search with pgvector for RAG pipelines and semantic retrieval.

Modules in this learning path:

• Build Query Azure Database Postgresql
• Implement Vector Search Azure Database Postgresql
• Optimize Vector Search Azure Database Postgresql

Products: Azure Database Postgresql

Roles: Developer

Level: Intermediate

Subjects: Databases, Artificial Intelligence

Duration: 294 minutes