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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

Roll out, secure, and monitor Microsoft Copilot and agents across a growing tenant—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, Advanced

Subjects: Artificial Intelligence

Duration: 518 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 Copilot to manage meetings and enhance collaboration.

Units in this learning path:

• Introduction
• Streamline Meeting Prep
• Enhance Collaboration Chat Pages Notebooks
• Exercise Manage Meetings Collaboration
• 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: 70 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

This module you're introduced to the basic principles of topics such as trigger phrases and conversation paths and how to create them.

Units in this learning path:

• 1 Introduction
• 2 Topics
• Bot Framework
• 3 Branch
• 5 Variables
• 6 Fall Back Topics
• 7 Manage Topics
• 8 Check
• 9 Summary

Products: Ms Copilot

Roles: Functional Consultant, Developer

Level: Intermediate

Subjects: Chatbots

Duration: 57 minutes

Compare how agent harnesses in Microsoft Copilot Studio meter Copilot Credits, identify the design decisions that drive consumption on the GitHub Copilot harness, and describe how administrators fund and monitor capacity.

Units in this learning path:

• Introduction
• Compare Billing Models
• Identify Runtime Consumption Drivers
• Plan Build Time Consumption
• Understand Admin Cost Governance
• Knowledge Check
• Summary

Products: Microsoft Copilot Studio

Roles: Maker, Developer, Functional Consultant

Level: Intermediate

Subjects: Artificial Intelligence, Business Applications

Duration: 29 minutes

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

A Learning Plan pulls together training content for a particular role or solutions, and organizes those assets from foundational to advanced. User Learning Plans as a starting point to discover training that matters to you. This learning plan is…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…