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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 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: Microsoft 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

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

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: Microsoft Foundry

Roles: Data Scientist, AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning, Natural Language Processing

Duration: 78 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

Sustainably achieve the appropriate level of reliability in your systems, services, and products and prepare for Exam AZ-400: Designing and Implementing Microsoft DevOps Solutions.

Modules in this learning path:

• Intro to Site Reliability Engineering
• Manage Site Reliability
• Cmu Cloud Elasticity
• Cmu Build Apps Cloud
• Monitor Azure Vm Using Diagnostic Data

Products: Azure, Azure Monitor, Azure Load Balancer, Azure Virtual Machines

Roles: Devops Engineer, Administrator, Developer, Solution Architect

Level: Beginner

Subjects: Cloud Computing

Duration: 252 minutes

Learn how to create modern REST data API for Azure SQL Database. We'll delve into Data API Builder, a powerful cross-platform that simplifies the creation of endpoints for your Azure SQL Database. With features like automatic query generation, granular security controls, and seamless integration with other Azure services, the Data API Builder can effortlessly transform your database into a versatile API.

Units in this learning path:

• Introduction
• Use Data API Builder for Azure SQL Database
• Develop a Data API Using Static Web App
• Develop a Data API Using Azure Web Apps
• Exercise Develop Data API SQL Database
• Knowledge Check
• Summary

Products: Azure SQL Database, Azure

Roles: Developer, Solution Architect

Level: Intermediate

Subjects: Databases, Cloud Computing

Duration: 65 minutes