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Debug and respond to production incidents in multi-agent AI solutions in Azure. Implement agent replay capabilities that reproduce complex multi-agent failures, apply structured root cause analysis procedures for multi-agent incident diagnosis, configure automated detection and remediation for common agent failure patterns, and establish incident response and post-mortem processes adapted to the characteristics of AI agent system failures.

Units in this learning path:

• Introduction
• Implement Agent Replay Production Debug
• Design Root Cause Analysis Agent Failures
• Configure Automated Detection Remediation
• Establish Incident Response Postmortem Processes
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry, Azure Monitor

Roles: AI Engineer, Devops Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence, Devops

Duration: 40 minutes

This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training Deep Learning on AWS. Students of that class may find the labs in this playlist to be useful hands-on practice.

Learn to structure complex Copilot Studio agents using child agents. Create focused subagents, configure how they receive tasks and return results, and control when they're invoked to build organized, scalable agent solutions.

Units in this learning path:

• Introduction
• Understand Child Agents
• Create Configure Child Agent
• Configure Child Agent Inputs Outputs Triggers
• Test Manage Child Agents
• Knowledge Check
• Summary

Products: Microsoft Copilot Studio

Roles: Maker

Level: Intermediate

Subjects: Artificial Intelligence, Chatbots

Duration: 50 minutes

Learn how to decide which ongoing work to delegate to Autopilot in Microsoft Copilot, write a brief that keeps working, grant the right level of authority, and check the results.

Units in this learning path:

• Introduction
• Evaluate Delegation Candidates
• Brief Autopilot Review Results
• Delegate Responsibly
• Knowledge Check
• Summary

Products: M365

Roles: Business User

Level: Beginner

Subjects: Artificial Intelligence

Duration: 32 minutes

This learning path shows you how to delegate multistep work to Copilot Cowork, apply it to your everyday workflows, and set up recurring work to run on its own. It also highlights Autopilot's ability to delegate work, and showcases the difference between the two options.

Modules in this learning path:

• Delegate Work Copilot Cowork
• From Prompts to Goals
• Work on Repeat

Products: Microsoft 365 Copilot, M365, M365 Apps

Roles: Business User, Business Owner

Level: Beginner

Subjects: Artificial Intelligence, Productivity

Duration: 202 minutes

Learn to configure rich agent responses in Microsoft Copilot Studio using message formatting and Adaptive Cards. This module covers message node formatting options, Adaptive Card use cases and configuration, and channel-specific schema considerations for Teams, web, and other surfaces.

Units in this learning path:

• Introduction
• Configure Message Formatting
• Design Informational Adaptive Cards
• Collect Input Adaptive Cards
• Adaptive Cards Channel Considerations
• Knowledge Check
• Summary

Products: Microsoft Copilot Studio

Roles: Maker

Level: Intermediate

Subjects: Artificial Intelligence, Chatbots

Duration: 38 minutes

Learn how to deploy multi-agent systems to Azure at enterprise scale and establish robust operational governance frameworks. Learners advance from foundational single-agent deployment and CI/CD patterns to coordinated multi-agent deployment pipelines, zero-trust security architecture across agent networks, enterprise-scale responsible AI governance, and full agent lifecycle management. AI-500

Modules in this learning path:

• Implement Cicd Multi Agent Systems Github Actions
• Secure Multi Agent Systems Azure Zero Trust
• Scale Responsible AI Governance Multi Agent
• Govern Enterprise Agent Lifecycle Azure

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

Roles: AI Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence

Duration: 194 minutes

Choose this module if you want to register, deploy, monitor, and roll back models by using GitHub Actions and protected environments.

Units in this learning path:

• Introduction
• Understand Business Problem
• Explore Solution Architecture
• Control Deployments Github Environments
• Model Deployment
• Monitor Model
• Exercise
• Knowledge Check
• Summary

Products: Azure Machine Learning, Github

Roles: Data Scientist, Devops Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Devops, Machine Learning

Duration: 62 minutes

Learn how to deploy an AI copilot app using Docker, Azure Container Resource, and Azure Kubernetes Service.

Units in this learning path:

• Introduction
• Deploy Apps with Azure Kubernetes Service
• Create Containerized App
• Exercise Prepare Your Copilot Application
• Exercise Create Azure Kubernetes Service Cluster
• Knowledge Check
• Summary

Products: Azure Cosmos Db, Azure Kubernetes Service, Azure Openai

Roles: Data Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence, Databases

Duration: 39 minutes

Learn to design AI agents tailored to business needs using Dynamics 365 and Copilot. Explore Responsible AI, custom connectors, and integration strategies.

Units in this learning path:

• Introduction
• Define Core Tenets Responsible AI Guidelines AI Business Solutions
• Design Business Terms Copilot Dynamics 365 Apps Customer Experience Service
• Design Customizations Copilot Dynamics 365 Apps Customer Experience Service
• Design Connectors Copilot Dynamics 365 Sales
• Design Agents Integration Dynamics 365 Contact Center Channels
• Design Task Agents
• Design Autonomous Agents
• Design Prompt Response Agents
• Propose Foundry Tools Given Requirement
• Propose Code First Generative Pages Agent Feed Applications
• Design Topics Copilot Studio Fallback
• Design Data Processing AI Models Ground
• Design Business Process Include AI Components Power Apps Canvas App
• Apply Power Platform Well Architected Framework
• Determine Use Standard Natural Language Processing
• Design Agent Flows Copilot Studio
• Design Prompt Actions Copilot Studio
• Define Success Criteria Adoption Goals
• 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: 161 minutes

Learn to think like an AI-first architect: choose the right components, map processes to intelligent patterns, and know when to extend the platform for advanced scenarios.

Units in this learning path:

• Introduction
• Explore AI First Power Platform
• Recommend Power Platform Components
• Map Business Processes AI First Patterns
• Explore Extensibility Options
• Knowledge Check
• Summary

Products: Power Platform, Power Apps, Power Automate, Power Pages, Ms Copilot, Dataverse

Roles: Functional Consultant, Maker

Level: Intermediate

Subjects: Artificial Intelligence, Business Applications

Duration: 33 minutes

Learn to design ALM processes for AI solutions, ensuring governance, security, and consistency across development, testing, and production.

Units in this learning path:

• Introduction
• Design Alm Process Data Used AI Models Agents
• Design Alm Process Copilot Studio Agents Connectors Actions
• Design Alm Process Microsoft Foundry Agents
• Design Alm Process Custom AI Models
• Design Alm Process AI Dynamics 365 Apps Finance Supply Chain
• Design Alm Process AI Dynamics 365 Apps Customer Experience Service
• Knowledge Check
• Summary

Products: Microsoft 365 Copilot, M365, Microsoft 365 Copilot Chat, Power Platform, Microsoft Copilot Studio

Roles: Database Administrator, Developer, Administrator, Solution Architect, Technology Manager

Level: Intermediate

Subjects: Generative AI, Data Analytics, Data Management, Data Engineering, Data Integration

Duration: 46 minutes