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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, Azure Cognitive Search

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

Break down complex tasks with intelligent collaboration. Learn how to design multi-agent solutions using connected agents.

Units in this learning path:

• Introduction
• Understand Connected Agents
• Design Multi Agent Solution
• Exercise
• Knowledge Check
• Summary

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

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 46 minutes

Build strategies around security and compliance and prepare for Exam AZ-400: Designing and Implementing Microsoft DevOps Solutions.

Modules in this learning path:

• Intro to Azure Ad
• Manage Users and Groups in Aad
• Configure and Manage Azure Key Vault
• Monitor Report Aad Security Events
• Maintain Secure Repository Github
• Improve Reliability Failure
• Improve Reliability Incidents

Products: Azure, Entra Id, Azure Key Vault, Azure API Management, Azure Monitor

Roles: Devops Engineer, Administrator, Developer, Solution Architect, Security Engineer

Level: Beginner

Subjects: Information Protection Governance, Site Reliability Engineering, Security

Duration: 280 minutes

Learn how to build an AI agent that uses the Azure Speech MCP server to perform speech-to-text and text-to-speech tasks.

Units in this learning path:

• Introduction
• Understand Speech Mcp
• Connect Use Speech Mcp
• Exercise
• Knowledge Check
• Summary

Products: Microsoft Foundry, Azure Speech

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 52 minutes

A voice carries meaning beyond words. Learn how to use models that transcribe and synthesize speech.

Units in this learning path:

• Introduction
• Deploy Multimodal Models
• Develop Audio Chat Apps
• Develop Speech Apps
• Exercise
• Knowledge Check
• Summary

Products: Microsoft Foundry

Roles: AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 43 minutes

Learn how to build an AI agent that uses the Azure Language MCP server to perform text analysis tasks like entity recognition, sentiment analysis, and summarization.

Units in this learning path:

• Introduction
• Understand Language Mcp
• Connect Use Language Mcp
• Exercise
• Knowledge Check
• Summary

Products: Language Service, Microsoft Foundry, Foundry Agent Service

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 52 minutes