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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 models to a batch endpoint. When you invoke a batch endpoint, you trigger a batch scoring job.

Units in this learning path:

• Introduction
• Explore Batch Endpoints
• Deploy Your Mlflow Model Batch Endpoint
• Deploy Custom Model Batch Endpoint
• Monitor Batch Endpoints
• Exercise Deploy Mlflow Model Batch Endpoint
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 44 minutes

Learn how to deploy models to a managed online endpoint for real-time inferencing.

Units in this learning path:

• Introduction
• Explore Managed Online Endpoints
• Deploy Your Mlflow Model Managed Online Endpoint
• Eploy Custom Model Managed Online Endpoint
• Monitor Online Endpoints
• Exercise Deploy Mlflow Model Online Endpoint
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 45 minutes

machine learning operations, MLOps, model deployment, online endpoint

Units in this learning path:

• Introduction
• Understand Business Problem
• Explore Solution Architecture
• Model Deployment
• Exercise
• Knowledge Check
• Summary

Products: Azure Machine Learning, Github

Roles: Data Scientist, Devops Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Devops, Machine Learning

Duration: 34 minutes

Learn how to deploy a model to an endpoint. When you deploy a model, you can get real-time or batch predictions by calling the endpoint.

Modules in this learning path:

• Deploy Model Managed Online Endpoint
• Deploy Model Batch Endpoint

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 89 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

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

Learn how to design a data ingestion solution for training data used in machine learning projects.

Units in this learning path:

• Introduction
• Identify Your Data Source Format
• Choose How Serve Data Workflows
• Solution
• Exercise
• Knowledge Check
• Summary

Products: Azure Databricks, Azure Machine Learning, Azure Synapse Analytics

Roles: Data Scientist

Level: Beginner

Subjects: Artificial Intelligence, Machine Learning

Duration: 33 minutes

Interact with Microsoft Copilot to learn about the capabilities of generative AI. Bring your personal creativity and passion to dream up a novel destination and create the content to help tell its story. Use Microsoft Copilot to ideate, research, and generate content. Use tips and techniques to write good prompts. Apply format and tone.

Units in this learning path:

• Introduction
• Exercise Define Idea Set Context
• Exercise Create Hero Image
• Exercise Make Grand Entrance
• Exercise Brainstorm Destination Features
• Exercise Plan Menu
• Exercise Ideate Ambience Music
• Exercise Create Branding
• Knowledge Check
• Summary

Products: Ms Copilot

Roles: Business Owner, Business User, Higher Ed Educator, K 12 Educator, Parent Guardian, Student

Level: Beginner

Subjects: Artificial Intelligence

Duration: 53 minutes