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Explore the importance of accessibility in technology, learn about Microsoft's approach, and discover tools for improvement.

Units in this learning path:

• Introduction
• Accessibility
• Makers
• Clients
• Exercise
• Check
• Summary

Products: Dynamics 365, Dynamics Finance, Dynamics Sales, Customer Insights Journeys, Customer Insights Data, Dynamics Scm, Dynamics Business Central, Dynamics Field Service, Dynamics Customer Service, Dynamics Project Operations, Dynamics Human Resources, Dynamics Iom, Power Apps, Power Automate, Dataverse

Roles: Business Analyst, Business User, Functional Consultant, Maker

Level: Beginner

Subjects: Business Applications

Duration: 46 minutes

Design for user identities and profiles

Units in this learning path:

• Introduction
• Select Appropriate Licensing Model for Azure Virtual Desktop Based Requirements
• Personal Multi Session Desktop Scenarios
• Recommend Appropriate Storage Solution
• Plan for Desktop Client Deployment
• Plan for Azure Virtual Desktop Client Deployment Remote Desktop Protocol Rdp
• Windows Desktop Client to Multiple Devices
• Hybrid Identity Azure Active Directory
• Plan for Azure Ad Connect
• Knowledge Check
• Summary

Products: Azure, Azure Virtual Desktop, Azure Virtual Machines

Roles: Administrator, Solution Architect

Level: Intermediate

Subjects: Identity Access

Duration: 64 minutes

Azure Architects design and recommend governance solutions.

Units in this learning path:

• Introduction
• Design for Governance
• Design for Management Groups
• Design for Subscriptions
• Design for Resource Groups
• Design for Resource Tags
• Design for Azure Policy
• Design for Role Based Access Control
• Design for Azure Landing Zones
• Knowledge Check
• Summary Resources

Products: Azure Policy, Azure Resource Manager

Roles: Solution Architect

Level: Advanced

Subjects: Information Protection Governance

Duration: 49 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

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