Explore digital courses

Design multi-agent memory architectures for production AI systems using Azure Cosmos DB. Implement semantic memory with vector storage, configure context window optimization strategies, design memory expiration and pruning policies, and build context-aware agent behaviors based on recalled history.

Units in this learning path:

• Introduction
• Examine Memory Architecture Patterns
• Implement Semantic Memory Vector Storage
• Optimize Memory Retrieval Context Injection
• Configure Context Window Optimization
• Design Memory Retention Consolidation
• Enforce Memory Privacy Audit Compliance
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry, Azure Cosmos Db

Roles: AI Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence, Machine Learning

Duration: 53 minutes

Learn to plan and design multi-agent solutions in Microsoft Copilot Studio. Evaluate when multi-agent approaches are appropriate, design solutions using child agents or connected agents, and select the right connection option and coordination pattern for your scenario.

Units in this learning path:

• Introduction
• Understand Multi Agent Architectures
• Design Agent Organization
• Select Multi Agent Orchestration Pattern
• Knowledge Check
• Summary

Products: Microsoft Copilot Studio

Roles: Maker

Level: Intermediate

Subjects: Artificial Intelligence, Chatbots

Duration: 35 minutes

Learn to design an enterprise AI strategy using Azure's Cloud Adoption Framework. Align AI agent lifecycle with business goals for operational excellence.

Units in this learning path:

• Introduction
• Implement AI Adoption Process Cloud Adoption Framework Azure
• Design Strategy Building AI Agents Business Solutions
• Design Multi Agent Solution
• Develop Use Cases Prebuilt Agents Solution
• Define Solution Rules Constraints Building AI Components
• Determine Generative AI Knowledge Sources Agents Built Copilot Studio
• Determine Build Custom Agents Extend Copilot
• Determine Custom AI Models Created
• Provide Guidelines Creating Prompt Library
• Develop Use Cases Customized Small Language Models Solution
• Provide Prompt Engineering Guidelines Techniques
• Identify Key Business User Roles AI Workloads
• Evaluate Regional Local AI Data Regulation Compliance Requirements
• Include Elements Microsoft AI Center Excellence
• Design AI Solutions Use Multiple Dynamics 365 Apps
• Design User Prompt Training AI Solution Adoption
• Knowledge Check
• Summary

Products: Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Power Platform, Microsoft Copilot Studio, Dynamics 365

Roles: Solution Architect

Level: Advanced

Subjects: Generative AI, Data Analytics, Data Management, Data Engineering, Data Integration

Duration: 165 minutes

Learn to design secure, governed, and compliant AI systems that align with organizational policies and Responsible AI principles.

Units in this learning path:

• Introduction
• Design Security Agents
• Design Governance Agents
• Design Model Security
• Analyze Solution AI Vulnerabilities Mitigations Prompt Manipulation
• Review Solution Adherence Responsible AI Principles
• Validate Data Residency Movement Compliance
• Design Access Controls Ground Data Model Tune
• Design Audit Trails Changes Models Data
• Knowledge Check
• Summary

Products: Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Power Platform, Microsoft Copilot Studio, Dynamics 365

Roles: Solution Architect

Level: Advanced

Subjects: Generative AI, Data Analytics, Data Management, Data Engineering, Data Integration

Duration: 53 minutes

Design production-grade stateful agentic loops with Microsoft Foundry Agent Service. Implement run-status handling and context accumulation, configure agent reflection and planning cycles, architect session state persistence, build fork-based session patterns, and migrate existing Agents v1 workloads to the Agents v2 Responses API.

Units in this learning path:

• Introduction
• Examine Production Agentic Loop Architecture
• Examine Foundry Responses API V2 Model
• Implement Agent Reflection Planning Cycles
• Design Session State Context Management
• Implement Fork Based Sessions
• Migrate Agentic Loops Agents V1 to V2
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry, Foundry Agent Service

Roles: AI Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence

Duration: 59 minutes

Evaluate how Microsoft Designer and Copilot support creative planning, storyboarding, and script writing tasks for music video preproduction.

Units in this learning path:

• Introduction
• Production
• Use Microsoft Designer Copilot Storyboard
• Leverage Copilot
• Knowledge Check
• Exercise
• Summary

Products: Ms Copilot

Roles: Student, Maker, K 12 Educator

Level: Beginner

Subjects: Artificial Intelligence

Duration: 62 minutes

Learn the basics of AI Builder Object detection and how it can benefit your organization.

Units in this learning path:

• 1 Introduction
• 2 Create Model
• 3 Use Model
• 4 Check
• 5 Summary

Products: AI Builder, Power Platform, Power Automate

Roles: Business User, Maker

Level: Beginner

Subjects: Artificial Intelligence, Business Applications

Duration: 25 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

Use Microsoft Foundry to develop generative AI chat applications with projects and the Responses API.

Units in this learning path:

• Introduction
• Chat Playground
• Microsoft Foundry Sdk
• Responses API
• Openai API
• Exercise
• Knowledge Check
• Summary

Products: Microsoft Foundry

Roles: AI Engineer, Developer

Level: Beginner

Subjects: Artificial Intelligence

Duration: 53 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