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Design evaluation frameworks for production multi-agent AI solutions using Microsoft Foundry. Define success metrics for coordination quality and system-level outcomes, implement calibrated LLM-as-judge patterns, design synthetic test datasets for agent collaboration scenarios, and build regression pipelines for behavioral drift detection.

Units in this learning path:

• Introduction
• Define Multi Agent Success Metrics
• Implement Model Judge Multi Agent Evaluation
• Design Synthetic Test Datasets Multi Agent
• Build Regression Test Agent Drift
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry

Roles: AI Engineer, Data Scientist, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence, Machine Learning

Duration: 41 minutes

Learn to design scalable, secure, and customizable AI solutions using Microsoft platforms. Explore extensibility strategies for enterprise AI.

Units in this learning path:

• Introduction
• Design AI Solutions Custom Models Microsoft Foundry
• Design Agents Microsoft 365 Copilot
• Design Agent Extensibility Copilot Studio
• Design Agent Extensibility Model Context Protocol Copilot Studio
• Design Agents Automate Tasks Apps Websites Computer Copilot Studio
• Design Agent Behaviors Copilot Studio Reasoning Voice Mode
• Optimize Solution Design Agents Microsoft 365 Teams Sharepoint
• 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: 48 minutes

Design human-in-the-loop systems for production multi-agent workflows using Power Automate and Microsoft Teams. Implement confidence-threshold escalation architectures, design asynchronous approval workflows for high-stakes agent actions, build human feedback collection and active learning pipelines, and configure audit workflows that provide complete human oversight records for regulated environments.

Units in this learning path:

• Introduction
• Design Confidence Threshold Escalation
• Implement Approval Workflows Agent Actions
• Build Active Learn Human Feedback
• Configure Audit Workflows Regulated Decisions
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry, Power Automate

Roles: AI Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence, App Development

Duration: 41 minutes

Learn to evaluate and select integration patterns for your Copilot Studio agents. Explore tools, knowledge sources, and agents as integration options and identify appropriate authentication models to design integrations that meet your enterprise requirements.

Units in this learning path:

• Introduction
• Explore Integration Landscape
• Compare Action Integration Patterns
• Authenticate Govern Integrations
• Select Integration Patterns
• Knowledge Check
• Summary

Products: Power Platform, Microsoft Copilot Studio

Roles: Functional Consultant, Maker

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 46 minutes

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