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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.

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

In this module, we address the challenge of automating workflows efficiently and how it can be handled using Microsoft Power Automate. We explore the process of building cloud flows, including how to initiate them with triggers. We also cover how to use AI-powered tools like Copilot for flow creation and troubleshooting, and how to ensure reliability through testing and monitoring. Additionally, we cover collaboration through flow sharing and introduce advanced features like "Record with Copilot" for desktop automation. These techniques empower users to streamline processes, save time, and enhance productivity. PL-900

Units in this learning path:

• Introduction
• Create Cloud Flow Use Instant Automated Scheduled Trigger
• Create Modify Cloud Flows Use Copilot Power Automate
• Create Cloud Flow Copilot
• Test Cloud Flow
• Run Monitor Cloud Flows
• Share Cloud Flow
• Describe Existing Cloud Flow Use Copilot
• Build Basic Desktop Flow Use Record Copilot
• Knowledge Check
• Summary

Products: Power Automate

Roles: Business Owner, Business User, Maker, Student

Level: Beginner

Subjects: App Development

Duration: 71 minutes

In this module, you'll learn how to build a Microsoft Teams tab by using Teams Toolkit for Visual Studio Code.

Units in this learning path:

• Introduction
• Build Tab App
• Build Tab App Exercise
• Summary

Products: M365, Office Teams

Roles: Developer

Level: Beginner

Subjects: Communication

Duration: 19 minutes

Learn how to build a Power Apps canvas app for a real estate solution by using Copilot in Power Apps.

Units in this learning path:

• Introduction
• Exercise
• Check
• Summary

Products: Power Platform, Power Apps, Ms Copilot

Roles: Maker

Level: Beginner

Subjects: Custom App Development

Duration: 34 minutes

Learn how to build a Power Apps canvas app for a real estate solution by using data from Excel.

Units in this learning path:

• Introduction
• Exercise
• Check
• Summary

Products: Power Platform, Power Apps, Ms Copilot

Roles: Maker

Level: Beginner

Subjects: Custom App Development

Duration: 39 minutes