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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

Azure Architect's design and recommend migration solutions.

Units in this learning path:

• Introduction
• Evaluate Migration Cloud Adoption Framework
• Describe Azure Migration Framework
• Assess Your Premises Workloads
• Select Migration Tool
• Migrate Your Databases
• Select Online Storage Migration Tool
• Migrate Offline Data
• Knowledge Check
• Summary Resources

Products: Azure Data Box Family, Azure Database Migration, Azure Migrate

Roles: Solution Architect

Level: Advanced

Subjects: Migration

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

Azure Architects design and recommend network solutions.

Units in this learning path:

• Introduction
• Recommend Network Architecture Solution Based Workload Requirements
• Design Patterns for Azure Network Connectivity Services
• Design Outbound Connectivity Routing
• Design for Premises Connectivity to Azure Virtual Networks
• Choose Application Delivery Service
• Design for Application Delivery Services
• Design for Application Protection Services
• Knowledge Check
• Summary Resources

Products: Azure

Roles: Solution Architect

Level: Advanced

Subjects: Architecture, Networking

Duration: 53 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 automated application analytics processes using Azure Application Insights, telemetry integration, augmented search capabilities, and monitoring tools to improve DevOps efficiency and user experience.

Units in this learning path:

• Introduction
• Explore Rapid Responses Augmented Search
• Integrate Telemetry
• Examine Monitoring Tools Technologies
• Explore It Service Management Connector
• Knowledge Check
• Summary

Products: Azure, Azure Artifacts, Azure Boards, Azure Cloud Services, Azure Devops, Azure Pipelines, Azure Repos, Azure Test Plans, Github

Roles: Administrator, AI Engineer, Data Engineer, Developer, Devops Engineer, Platform Engineer, Security Engineer, Security Operations Analyst, Service Adoption Specialist, Solution Architect, Startup Founder, Technology Manager

Level: Advanced

Subjects: Devops, Cloud Computing, Data Analytics

Duration: 32 minutes

In this module, you explore advanced concepts of interfaces in C#. You learn how to implement explicit interface members, combine multiple interfaces, and reduce code dependencies using interfaces.

Units in this learning path:

• Introduction
• Examine Interface Designs
• Implement Explicit Interface Members
• Use Combine Multiple Interfaces
• Understand Tightly Coupled Code
• Refactor Use Interfaces
• Exercise Decouple Code with Interfaces
• Knowledge Check
• Summary

Products: Dotnet, Vs Code

Roles: Developer

Level: Beginner

Duration: 58 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

SC-100: Design security operations, identity, and compliance capabilities

Modules in this learning path:

• Design Solutions Regulatory Compliance
• Design Solutions Identity Access Management
• Design Solutions Secure Privileged Access
• Design Solutions Security Operations
• Case Study Identity Data Security
• Case Study Access Control Threat Resilience

Products: Azure, Defender For Cloud, Defender For Cloud Apps, Defender Identity, Microsoft Sentinel

Roles: Security Engineer, Solution Architect

Level: Advanced

Duration: 384 minutes

SC-100: Design security solutions for applications and data

Modules in this learning path:

• Design Solutions Secure Microsoft 365
• Design Solutions Secure Applications
• Design Solutions Secure Organization Data
• Case Study Apps Data

Products: Azure, Defender For Cloud, Defender For Cloud Apps, Defender Identity, Microsoft Sentinel

Roles: Security Engineer, Solution Architect

Level: Advanced

Duration: 259 minutes