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Learn how to host SharePoint Framework web parts as tabs in Microsoft Teams, detect where a component is running, and configure its tab settings.

Units in this learning path:

• 1 Introduction
• 2 Overview
• 3 Exercise Deploy
• 4 Context
• 5 Exercise Conditional Logic
• 6 Tab Configuration
• 7 Exercise Update Configuration Settings
• 8 Summary
• Module Assessment

Products: M365, Office Sp Framework

Roles: Developer

Level: Intermediate

Subjects: Business Applications

Duration: 69 minutes

Learn how to build Power Automate flows for your Microsoft Copilot Studio agent to automate more customer support.

Units in this learning path:

• Introduction
• Understand Power Automate
• Exercise Build Flow
• Http Request
• Actions
• Check
• Summary

Products: Ms Copilot

Roles: Maker, Functional Consultant

Level: Beginner

Subjects: Chatbots

Duration: 32 minutes

Streamline business logic by using Power Fx functions. Run your function from Power Apps and Power Automate to perform calculations in real time.

Units in this learning path:

• Introduction
• Understand
• Explore
• Exercise Build Integrate Canvas App
• Exercise Build Integrate Power Automate Flow
• Troubleshoot
• Check
• Summary

Products: Power Platform, Power Apps

Roles: Functional Consultant, Maker

Level: Intermediate

Subjects: Process Workflow

Duration: 40 minutes

Learn how to implement Retrieval Augmented Generation (RAG) on Azure Database for PostgreSQL using Azure AI and vector (pgvector) extensions. Build a Python-based application and explore advanced options like GraphRAG.

Units in this learning path:

• Introduction
• Understand Rag Patterns Azure Database Postgresql
• Explore Scale Accuracy Problem
• Enhance Scale Vector Index
• Build Rag Application Postgresql Python
• Exercise Build Rag Application Postgresql Python
• Improve Accuracy Advanced Rag Architecture
• Explore Graphrag
• Exercise Implement Graphrag
• Knowledge Check
• Summary

Products: Azure, Azure Database Postgresql

Roles: Developer, Data Engineer, Solution Architect

Level: Intermediate

Subjects: Databases, Artificial Intelligence, Cloud Computing

Duration: 101 minutes

This credential earner has the technical knowledge and practical skills to implement text and image embedding-based search systems using Google Colab. The individual can explain the role of vector embeddings in AI, describe the process of generating text embeddings, and identify models for generating and optimizing text embeddings. The earner can identify types of embeddings, explain how models generate image embeddings from visual data, and compare techniques for optimizing image embeddings.

Learn how Copilot Notebook Study Guide supports learning mastery using course materials to generate summaries, quizzes, and more interactive activities.

Units in this learning path:

• Introduction
• About Copilot Notebook Study Guide
• Get Started with Study Guide
• Summary Pages Copilot Study Guide
• Topic Pages Copilot Study Guide
• Quiz Pages
• Learning Activities Copilot Study Guide
• Other Features Copilot Study Guide
• Best Practices
• Knowledge Check
• Summary

Products: M365 Education, Ms Copilot, Office Onenote

Roles: K 12 Educator, School Leader, Higher Ed Educator

Level: Intermediate

Duration: 48 minutes

Amazon DocumentDB (with MongoDB compatibility) is a fast, reliable, and fully managed database service. Amazon DocumentDB helps you set up, operate, and scale MongoDB-compatible databases in the cloud. In this course, you will learn how to create,…

Learn how to create a 3D Scene in Unity using the Microsoft Maps SDK or static terrain. Get familiar with mixed reality scene design, the Unity interface, and deploying your Unity project to a mixed reality device.

Units in this learning path:

• Introduction
• Scene Design
• Unity Interface
• Source Scene
• Exercise Wind Farm
• Exercise Deploy
• Knowledge Check
• Summary

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

Roles: Developer, Business Owner, Student, Technology Manager

Level: Beginner

Subjects: Mixed Reality

Duration: 52 minutes

Learn about all the foundational elements required to build a mixed reality application using Power Apps.

Units in this learning path:

• 1 Introduction
• 2 Add Data Source Gallery Controls
• 3 Exercise Add Data Source Gallery Controls
• 4 View Mr 3d
• 5 Exercise View Mr 3d
• 6 Measure Mr Filter
• 7 Exercise Measure Mr Filter
• 8 Exercise Design Additional Pages
• 9 Knowledge Check
• 10 Summary

Products: Windows, Windows Mixed Reality, Power Apps

Roles: Developer

Level: Beginner

Subjects: Mixed Reality

Duration: 64 minutes

A hands-on project that guides you through building a custom app with objects, fields, and automation.

Learn how to build a web app with Blazor.

Units in this learning path:

• Introduction
• Blazor
• Exercise Blazor
• Game Logic
• Exercise Game Logic
• Exercise Parameters
• Knowledge Check
• Summary

Products: Dotnet, Blazor

Roles: Developer, Student

Level: Beginner

Duration: 32 minutes

Learn how to create a Fabric data agent that uses a Microsoft Fabric IQ ontology as its data source, configure agent instructions to improve accuracy, test natural language queries, and publish the agent for colleagues.

Units in this learning path:

• Introduction
• Understand Fabric Data Agents Ontology
• Create Fabric Data Agent Connect Ontology
• Test Validate Publish Fabric Data Agent
• Exercise Build Data Agent Ontology
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Beginner

Subjects: Data Analytics, Artificial Intelligence

Duration: 65 minutes