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This course teaches learners the fundamentals of generative AI and responsible AI, then guides them through getting started with Microsoft 365 Copilot Chat (Basic), writing effective prompts, and using its features to work smarter and collaborate securely.

Modules in this learning path:

• What Generative AI
• Get Started Microsoft 365 Copilot Business Chat
• Write Effective Prompts Do More Prompting
• Work Smarter with Microsoft 365 Copilot Chat

Products: Microsoft 365 Copilot Chat

Roles: Business User

Level: Beginner

Subjects: Artificial Intelligence

Duration: 140 minutes

Learn how to build intelligent agents by adding knowledge sources to provide contextual, relevant responses in Microsoft Copilot Studio.

Units in this learning path:

• Introduction
• Create Knowledge Agent
• Add Knowledge
• Generative Answers
• Select Topics
• Exercise
• Check
• Summary

Products: Microsoft Copilot Studio

Roles: Business User, Maker, Functional Consultant, Developer

Level: Beginner, Intermediate

Subjects: Artificial Intelligence, Generative AI, Chatbots

Duration: 45 minutes

Learn how Foundry IQ transforms how AI agents access and reason over organizational data through its unified knowledge layer and Retrieval Augmented Generation (RAG) capabilities. Build a practical agent that leverages enterprise knowledge through Foundry IQ's agentic retrieval engine.

Units in this learning path:

• Introduction
• Understand Rag
• Foundry Iq
• Data Requirements
• Configure Retrieval
• Exercise
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry

Roles: AI Engineer, Developer, Solution Architect

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 71 minutes

Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale. (DP-3014)

Modules in this learning path:

• Explore Azure Databricks
• Use Apache Spark Azure Databricks
• Machine Learning Azure Databricks
• Mlflow Azure Databricks
• Hyperparameters Azure Databricks
• Automl Azure Databricks
• Deep Learning Azure Databricks
• Machine Learning Production Azure Databricks

Products: Azure Databricks

Roles: Data Scientist

Level: Intermediate

Subjects: Artificial Intelligence, Data Management, Machine Learning

Duration: 538 minutes

Learn how to create a mixed reality application using Azure Digital Twins and Unity, a real-time 3D platform.

Modules in this learning path:

• Set Up Mixed Reality Azure Digital Twins Unity
• Build 3d Scene Mixed Reality Unity
• Configure 3d Assets Mixed Reality Unity
• Connect Iot Hololens Azure Digital Twins Unity

Products: Azure, Azure Cloud Services, Foundry Tools, Azure Digital Twins, Azure Iot, Azure Iot Hub, Azure Signalr Service, Azure Event Grid, Azure Event Hubs, Azure Functions, Hololens, Windows, Windows Mixed Reality

Roles: Developer, Business Owner, Student, Technology Manager

Level: Beginner

Subjects: Mixed Reality

Duration: 239 minutes

Learn to build multi-agent solutions in Copilot Studio by connecting your orchestrator to existing agents built on Microsoft's agentic platform. Configure connections to Copilot Studio agents, Microsoft Foundry agents, and Microsoft Fabric Data agents, and manage your connected agent ecosystem for accurate orchestration.

Units in this learning path:

• Introduction
• Understand Connected Agents
• Connect Copilot Studio Agent
• Connect Foundry Agent
• Connect Fabric Data Agent
• Manage Test Connected Agent Solution
• Knowledge Check
• Summary

Products: Microsoft Copilot Studio

Roles: Maker

Level: Intermediate

Subjects: Artificial Intelligence, Chatbots

Duration: 54 minutes

Learn how to implement the production-grade technical capabilities required to make multi-agent systems reliable, secure, and maintainable. This training helps learners advance from foundational prompting, tool consumption, and RAG patterns to designing multi-intervention guardrail architectures, building enterprise MCP servers, implementing hybrid RAG pipelines, and architecting durable agent memory systems with Azure Cosmos DB. AI-500

Modules in this learning path:

• Design Advanced Prompting Production Agents
• Build Enterprise Tool Ecosystems Mcp Azure
• Implement Advanced Rag Azure AI Search
• Design Multi Agent Memory Azure Cosmos Db

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

Roles: AI Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence

Duration: 228 minutes

Turn a business need into a working solution with Copilot Code, then refine it through AI collaboration and prepare it to share with coworkers.

Units in this learning path:

• Introduction
• Choose Copilot Mode
• Define Requirements
• Plan Solution
• Create Refine Solution
• Validate Prepare Share
• Exercise Build AI Initiatives Repo
• Knowledge Check
• Summary

Products: Ms Copilot, M365

Roles: Business User

Level: Beginner

Subjects: Artificial Intelligence, Productivity

Duration: 34 minutes

Evaluate how Microsoft Copilot, Designer, and Clipchamp streamline image generation, video editing, and media enhancement tasks for music video production.

Units in this learning path:

• Introduction
• AI Media Production
• Using Microsoft Copilot Content Creation
• Enhancing Videos Clipchamp
• Microsoft Designer Music Video Production
• Integrating AI Bring Creative Concepts Life
• Knowledge Check
• Exercise
• Summary

Products: Ms Copilot, Foundry Tools

Roles: Student, Maker, K 12 Educator, Business User, Higher Ed Educator

Level: Beginner

Subjects: Artificial Intelligence

Duration: 82 minutes

Build your own AI copilot with vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI.

Units in this learning path:

• Introduction
• Explore Azure Openai
• Understand Vector Database Retrieval Augmentation Generation Embeddings
• Implement Retrieval Augmentation Generation Vcore Based Cosmos Db Mongodb
• Exercise Develop AI Copilot Vcore Based Azure Cosmos Db Mongodb
• Knowledge Check
• Summary

Products: Azure Cosmos Db, Azure Openai

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence, Databases

Duration: 73 minutes

This badge earner demonstrates knowledge and understanding in technical and scientific concepts related to building AI solutions with open-source frameworks (such as TensorFlow and Keras) to make model predictions using regression, classification, and clustering algorithms such as Naive Bayes, Logistic regression, K-nearest neighbors, Polynomial Linear Regression, SVM (Kernel), Decision tree, and Ensemble learning, K means and DBSCAN for anomaly detection and computer vision.

This course is designed for application developers interested in building generative artificial intelligence (generative AI) applications using either the Amazon Bedrock APIs or AWS-LangChain integration. In this course, you will explore the…