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Learn how to use Microsoft Copilot to analyze and visualize your data.

Units in this learning path:

• Introduction
• Analyze Data Workflows Excel
• Generate Insights Analyst Agent
• Exercise Analyze Visualize Data
• Knowledge Check
• Summary

Products: M365, Office 365

Roles: Administrator, Business User, Functional Consultant, Solution Architect, Technology Manager

Level: Beginner

Subjects: Artificial Intelligence, Business Applications

Duration: 66 minutes

Learn how to analyze images with Azure Content Understanding.

Units in this learning path:

• Introduction
• What Is Content Understanding
• Analyze Images with Content Understanding
• Exercise
• Knowledge Check
• Summary

Products: Microsoft Foundry

Roles: AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 43 minutes

Learn to analyze, design, and implement AI-powered business solutions using agents, generative AI, and Microsoft Copilot for productivity.

Units in this learning path:

• Introduction
• Assess Use Agents Task Automation Data Analytics Decision Making
• Review Data Grounding Accuracy Relevance Timeliness Cleanliness Availability
• Organize Business Solution Data Available Other AI Systems
• 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: 25 minutes

Use Azure Language in Foundry Tools to built text analysis solutions.

Units in this learning path:

• Introduction
• Provision Resource
• Detect Language
• Extract Entitites
• Extract Personal Information
• Exercise
• Knowledge Check
• Summary

Products: Microsoft Foundry

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 46 minutes

Explore how Sora enables AI-powered enhancements to traditional 2D animation workflows, including motion smoothing, frame interpolation, and 2D-to-3D transformation techniques.

Units in this learning path:

• Introduction
• Animation Transformation
• Motion Simulation Generated Video
• Enhanced Animations Transformation
• Animation Concept Visualization
• Generated Cinematic Animations Case Studies
• Exercise
• Knowledge Check
• Summary

Products: Ms Copilot

Roles: Student, Maker, K 12 Educator

Level: Beginner

Subjects: Artificial Intelligence

Duration: 100 minutes

Explore practical AI tools to enhance teaching, boost student outcomes, and streamline work in special education environments responsibly.

Units in this learning path:

• Introduction
• Role AI Special Education
• Benefits Challenges AI
• Responsible Use AI Education
• Exercise Reflection
• Knowledge Check
• Summary

Products: M365, Microsoft 365 Copilot, Office Teams, Office Powerpoint, Office Word

Roles: K 12 Educator, School Leader

Level: Beginner

Subjects: Artificial Intelligence, Generative AI

Duration: 15 minutes

This module equips learners with the knowledge and skills necessary to implement a robust Zero Trust security framework for their Microsoft 365 Copilot deployments.

Units in this learning path:

• Introduction
• Prepare Microsoft Copilots Using Zero Trust Security
• Apply Zero Trust Principles Microsoft Copilot
• Explore Zero Trust Recommendations Copilot Configuration
• Apply Zero Trust Principles Microsoft 365 Copilot
• Deploy Validate Your Data Protection
• Deploy Validate Your Identity Access
• Deploy Validate Your App Protection Policies
• Deploy Validate Your Device Management Protection
• Deploy Validate Your Threat Protection Services
• Deploy Validate Secure Collaboration Microsoft Teams
• Deploy Validate Minimum User Permissions
• Knowledge Check
• Summary

Products: M365, Office 365

Roles: Administrator, Functional Consultant, Solution Architect, Technology Manager

Level: Intermediate

Subjects: Artificial Intelligence, Business Applications, Compliance, Productivity, Security, Threat Protection

Duration: 87 minutes

Discover Microsoft's commitment to ethical AI. Learn about the principles of responsible AI - fairness, reliability & safety, privacy & security, transparency, inclusiveness, and accountability specifically for a learning environment. Principles that are designed to guide and shape the future of AI development and usage.

Units in this learning path:

• Introduction
• Consider the Fairness Principle
• Explore the Reliability and Safety Principle
• Examine the Privacy and Security Principle
• Apply the Inclusiveness Principle
• Use the Transparency Principle
• Implement the Accountability Principle
• Knowledge Check
• Summary

Products: Foundry Tools, Azure Machine Learning, Azure Machine Learning Designer, M365 Apps, Azure Translator Text, Azure Translator Speech, Ms Copilot, Language Service

Roles: K 12 Educator, Business User, Higher Ed Educator, Data Engineer, School Leader

Level: Beginner

Subjects: Artificial Intelligence

Duration: 39 minutes

Apply advanced task decomposition strategies in Microsoft Foundry multi-agent systems. Design prompt chaining workflows, implement LLM-driven adaptive decomposition, configure agent handoff protocols for context-preserving transitions, and balance decomposition granularity against coordination overhead.

Units in this learning path:

• Introduction
• Design Prompt Chain Workflows
• Implement Dynamic Adaptive Task Decomposition
• Configure Agent Handoff Collaboration Protocols
• Ensure Handoff Reliability Context Preservation
• Optimize Decomposition Granularity
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry, Foundry Agent Service

Roles: AI Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence

Duration: 46 minutes

Learn how to design AI-powered business solutions using agents, generative AI, and Microsoft Copilot to enhance productivity and efficiency.

Modules in this learning path:

• Introduction Agentic AI Business Solution Architecture
• Analyze Requirements AI Powered Business Solutions
• Design Overall AI Strategy Business Solutions
• Evaluate Costs Benefits AI Powered Business Solution
• Design AI Agents Business Solutions
• Design Extensibility AI Solutions
• Orchestrate Configuration Prebuilt Agents Apps
• Analyze Monitor Tune AI Powered Business Solutions
• Manage Testing AI Powered Business Solutions
• Design Alm Process AI Powered Business Solutions
• Design Responsible AI Security Governance Risk Management Compliance

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: 684 minutes

Learn how to design production-grade agentic AI solutions in Microsoft Foundry. This training covers stateful agentic loop architecture, hierarchical orchestration patterns, dynamic task decomposition strategies, and enterprise-scale agent communication ecosystems, including A2A protocol integration for cross-platform agent connectivity. AI-500

Modules in this learning path:

• Design Agentic Loops Microsoft Foundry Agent Service
• Implement Multi Agent Orchestration Azure AI Foundry
• Apply Task Decomposition Multi Agent Azure
• Design Enterprise Agent Communication A2a

Products: Agent Framework, Azure Cosmos Db, Azure Managed Redis, Microsoft Foundry

Roles: AI Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence

Duration: 201 minutes

This module guides learners through designing AI agent architectures that scale with business demand, provide deep visibility into cost drivers, and support long-term governance. Participants explore reference architectures, orchestration patterns, and financial design principles that ensure operational efficiency, cost control, and strategic alignment.

Units in this learning path:

• Reference Architecture
• Cost Effectiveness Multi Agent
• Design Principles
• Knowledge Check
• Summary

Products: Microsoft Foundry, Foundry Tools, Azure Openai, Ms Copilot

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 47 minutes