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This learning path examines how to apply Zero Trust principles to Microsoft 365 Copilot and how to manage Microsoft Copilot and Microsoft 365 Copilot administration.

Modules in this learning path:

• Apply Principles Zero Trust Microsoft Copilot
• Manage Microsoft Copilot
• Manage Microsoft 365 Copilot

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: 209 minutes

This module examines the tasks that administrators must perform to manage Microsoft 365 Copilot extensibility, such as managing Copilot agents and creating and monitoring connectors.

Units in this learning path:

• Introduction
• Manage Copilot Agents Integrated Apps
• Create Connection Between Data Source Connector
• Monitor Your Microsoft Graph Connectors
• Manage Graph Connector Content Copilot
• 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: 33 minutes

This module explores the various aspects of managing Microsoft Copilot, including its key features, integration capabilities, and security measures.

Units in this learning path:

• Introduction
• Compare Microsoft Copilot Microsoft 365 Copilot
• Explore Microsoft Copilot Enterprise Data Protection
• Manage Copilot Microsoft Edge
• Manage Microsoft Copilot Mobile Devices
• 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: 31 minutes

This module examines the components available for managing and administrating agents.

Units in this learning path:

• 1 Introduction
• 2 Environments
• Generative AI
• 3 Bot Topics
• 4 Bot Entities
• 5 Monitor
• 6 Administer
• Export Import Bots
• Authentication
• 7 Check
• 8 Summary

Products: Ms Copilot

Roles: Maker, Functional Consultant, Administrator, Business User

Level: Intermediate

Subjects: Chatbots

Duration: 50 minutes

Managing and optimizing AI agent investments on Azure is now more streamlined and powerful with the built-in observability capabilities in Microsoft Foundry. These tools provide enterprise-grade observability, governance, and performance optimization capabilities essential for deploying intelligent, goal-driven agents at scale. These tools provide enterprise-grade observability, governance, and performance optimization capabilities essential for deploying intelligent, goal-driven agents at scale.

Units in this learning path:

• Monitor Optimize Agent Use
• Budget
• Optimize Spending
• Knowledge Check
• Summary

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

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 34 minutes

MLflow model management and responsible AI dashboard in Azure Machine Learning.

Modules in this learning path:

• Register Mlflow Model Azure Machine Learning
• Manage Compare Models Azure Machine Learning

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 82 minutes

Roll out, secure, and monitor Microsoft 365 Copilot and agents for an AI-native company—enable Copilot safely, establish and govern agent identities, curate the agent catalog, monitor and govern agents in production, and keep AI services cost-effective and healthy.

Modules in this learning path:

• Enable Manage Microsoft 365 Copilot
• Configure Copilot Settings Extensibility
• Establish Agent Identities Entra Agent Id
• Curate Control Agents Registry Tools
• Agent 365 Monitor Manage
• Agent 365 Govern
• Monitor Optimize M365 AI Services

Products: M365, Entra Id, Agent 365

Roles: Administrator

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 507 minutes

Learn how to manage machine learning models in production with Azure Databricks.

Units in this learning path:

• Introduction
• Data Pipelines Feature Engineering
• Model Development Training
• Model Deployment Strategies
• Model Versioning Lifecycle Management
• Exercise
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Scientist

Level: Intermediate

Subjects: Machine Learning

Duration: 62 minutes

Learn how to use Microsoft 365 Copilot to manage meetings and enhance collaboration.

Units in this learning path:

• Introduction
• Streamline Meeting Prep
• Enhance Collaboration Chat Pages Notebooks
• 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: 45 minutes

Learn how to manage models in AI Builder.

Units in this learning path:

• 1 Lifecycle
• 2 Manage Versions
• 3 Share
• 4 Check
• 5 Summary

Products: AI Builder, Power Platform, Power Automate

Roles: Business User, Maker

Level: Beginner

Subjects: Artificial Intelligence

Duration: 17 minutes

This module covers Azure Monitor fundamentals, including metrics collection, dashboards, alert and processing rules, and KQL-based log queries. Together, these capabilities enable faster root-cause analysis and improve operational reliability.

Units in this learning path:

• Introduction
• Understand Azure Monitor Metrics Visualization
• Configure Alerts Alert Processing Rules
• Query Log Data Log Analytics Workspace
• Exercise Configure Monitoring Azure Infrastructure
• Knowledge Check
• Summary

Products: Azure

Roles: Administrator

Level: Intermediate

Subjects: Artificial Intelligence, Infrastructure

Duration: 108 minutes

Learn to validate and maintain AI-powered business solutions with structured testing frameworks, metrics, and governance for enterprise reliability.

Units in this learning path:

• Introduction
• Recommend Process Metrics Test Agents
• Create Validation Criteria Custom AI Models
• Validate Effective Copilot Prompt Best Practices
• Design Test Scenarios AI Solutions Multiple Dynamics 365 Apps
• Build Strategy Creating Test Cases Using Copilot
• 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: 35 minutes