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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: 592 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: Microsoft Foundry, Foundry Agent Service

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

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 95 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

This module covers how to develop AI-enabled applications using the GitHub Copilot SDK. You install the SDK, explore its features, and build AI agents that can be integrated into your applications to automate tasks and enhance functionality.

Units in this learning path:

• Introduction
• What AI Agent
• What Github Copilot Sdk
• Examine AI Agent Use Cases
• Design AI Agents
• Implement AI Agents Github Copilot Sdk
• Adapt Extend AI Agents
• Exercise Integrate AI Agent Github Copilot Sdk
• Knowledge Check
• Summary

Products: Github, Vs Code

Roles: Developer

Level: Intermediate

Subjects: App Development, Productivity

Duration: 117 minutes

Learn how to create and deploy Azure Functions.

Units in this learning path:

• Introduction
• Explore Development
• Create Triggers Bindings
• Connect Functions to Azure Services
• Exercise Create Azure Function by Using Visual Studio Code
• Knowledge Check
• Summary

Products: Azure, Azure Functions

Roles: Developer

Level: Intermediate

Subjects: Cloud Computing, Data Engineering

Duration: 38 minutes

Learn how GitHub Copilot and the PostgreSQL extension improve SQL development workflows in Visual Studio Code.

Units in this learning path:

• Introduction
• Understand Postgresql Extension
• Understand Github Copilot Integration
• Generate Refine Queries
• Exercise Enhance Postgresql Development Github Copilot
• Knowledge Check
• Summary

Products: Azure, Azure Database Postgresql

Roles: Developer, Data Engineer

Level: Intermediate

Subjects: Databases, Artificial Intelligence, Cloud Computing

Duration: 56 minutes

Create a Role Center page for Microsoft Dynamics 365 Business Central and learn how it's constructed.

Units in this learning path:

• 1 Introduction
• 2 Create Page
• 3 Activity Parts
• 4 Cue Setup
• 5 Role Center Lists
• 6 Headline Parts
• 7 Exercise
• 8 Check
• 9 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Developer

Level: Intermediate

Subjects: Finance Accounting

Duration: 60 minutes