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Learn to design and deliver Power BI reports using a user-centered process that emphasizes actionable insights, visual appeal, and production-ready development aligned with stakeholder needs.

Modules in this learning path:

• Power Bi Effective Requirements
• Power Bi Effective Reports
• Power Bi Effective User Experience
• Perform Analytics Power Bi

Products: Power Bi

Roles: Data Analyst, Business Analyst

Level: Intermediate

Subjects: Data Visualization

Duration: 307 minutes

Design semantic models for scale in Microsoft Fabric. Choose storage modes, design star schema relationships, create scalable calculation patterns, and configure settings for large datasets and concurrent consumption.

Units in this learning path:

• Introduction
• Storage Modes
• Relationships
• Dynamic Elements
• Enterprise Settings
• Exercise
• Knowledge Check
• Summary

Products: Fabric, Power Bi

Roles: Data Analyst, Data Engineer

Level: Intermediate

Subjects: Data Modeling

Duration: 65 minutes

Do you want to learn how to build the data model for a report in Microsoft Dynamics 365 Business Central? This module will discuss the different components of a report data model.

Units in this learning path:

• 1 Introduction
• 2 Create Report Data Items
• 3 Add Columns Report Dataset
• 4 Link Order Indent Data Items
• Use Query
• 5 Check
• 6 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Developer

Level: Intermediate

Subjects: Data Modeling

Duration: 48 minutes

This course will get you started on thinking serverless. It will introduce you to key Amazon Web Services (AWS) services and patterns that you will want to use to design event-driven architectures. In this course, you will learn about the concepts…

Learn how to develop AI solutions using Azure Cosmos DB for NoSQL, including vector search and query optimization for RAG pipelines and semantic retrieval.

Modules in this learning path:

• Build Query Azure Cosmos Db
• Implement Vector Search Azure Cosmos Db
• Optimize Query Performance Azure Cosmos Db

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Databases, Artificial Intelligence

Duration: 252 minutes

Learn how to develop AI solutions using Azure Database for PostgreSQL, including vector search with pgvector for RAG pipelines and semantic retrieval.

Modules in this learning path:

• Build Query Azure Database Postgresql
• Implement Vector Search Azure Database Postgresql
• Optimize Vector Search Azure Database Postgresql

Products: Azure Database Postgresql

Roles: Developer

Level: Intermediate

Subjects: Databases, Artificial Intelligence

Duration: 294 minutes

Learn how GitHub Copilot and the PostgreSQL extension improve SQL development workflows in Visual Studio Code.

Units in this learning path:

• Introduction
• Understand Postgresql Extension
• Understand Github Copilot Integration
• Generate Refine Queries
• Exercise Enhance Postgresql Development Github Copilot
• Knowledge Check
• Summary

Products: Azure, Azure Database Postgresql

Roles: Developer, Data Engineer

Level: Intermediate

Subjects: Databases, Artificial Intelligence, Cloud Computing

Duration: 56 minutes

Learn how to create modern REST data API for Azure SQL Database. We'll delve into Data API Builder, a powerful cross-platform that simplifies the creation of endpoints for your Azure SQL Database. With features like automatic query generation, granular security controls, and seamless integration with other Azure services, the Data API Builder can effortlessly transform your database into a versatile API.

Units in this learning path:

• Introduction
• Use Data API Builder for Azure SQL Database
• Develop a Data API Using Static Web App
• Develop a Data API Using Azure Web Apps
• Exercise Develop Data API SQL Database
• Knowledge Check
• Summary

Products: Azure SQL Database, Azure

Roles: Developer, Solution Architect

Level: Intermediate

Subjects: Databases, Cloud Computing

Duration: 65 minutes

Learn how to develop data-driven applications by using Microsoft Azure SQL Database. DP-3020

Modules in this learning path:

• Get Started SQL Database Application Development
• Develop Azure SQL Database
• Develop Data API Azure SQL Database
• Explore Data Manipulation Azure SQL Database
• Explore Security Practices Azure SQL Database

Products: Azure SQL Database, Azure

Roles: Developer, Solution Architect

Level: Intermediate

Subjects: Databases, App Development, Artificial Intelligence

Duration: 355 minutes

Learn how to create and configure an Azure SQL Database. You'll use SQL Database Projects in VS Code, including installing the extension, importing, and modifying a schema. Additionally, you'll build and deploy database projects in GitHub Actions and Azure Pipelines, and automate and invoke the publishing of a database.

Units in this learning path:

• Introduction
• Create Configure SQL Database
• Use SQL Db Projects
• Build Deploy Github Actions
• Secure Monitor Automation
• Exercise Deploy Azure SQL Database Project
• Knowledge Check
• Summary

Products: Azure SQL Database, Azure

Roles: Developer, Solution Architect

Level: Intermediate

Subjects: Databases, Cloud Computing

Duration: 72 minutes

Developer Uses Cases for AI with GitHub Copilot explores ways developers can apply AI using GitHub Copilot to enhance productivity, ultimately enabling teams to save time, improve code quality, and boost developer satisfaction.

Units in this learning path:

• Introduction
• Boost Developer Productivity
• Align with Developer Preferences
• AI Software Development Lifecycle
• Understand Limitations Measure Impact
• Knowledge Check
• Summary

Products: Github

Roles: Developer, Devops Engineer, Student

Level: Intermediate

Subjects: Data Integration

Duration: 49 minutes

This credential earner has the foundational knowledge to navigate the digital world, including computer use, internet navigation, and digital communication. The individual can research, create, share, and present information effectively, responsibly, and safely in digital environments. The earner understands key concepts in artificial intelligence, software engineering, and data analysis, and recognizes their importance for productivity and success in academic and professional contexts.