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Microsoft Fabric Mastery - Visual Guide
New
1 students

Microsoft Fabric Mastery - Visual Guide

Learn Microsoft Fabric, OneLake, Data Engineering, Warehousing, Power BI, AI, Governance, and Enterprise Analytics
New
Created byChristopher Kaspar
Last updated 5/2026
English

What you'll learn

  • Understand Microsoft Fabric architecture, OneLake, workspaces, capacities, and unified analytics concepts
  • Build enterprise data engineering, warehousing, AI, and Power BI solutions using Microsoft Fabric
  • Design scalable lakehouse, warehouse, governance, and real-time analytics architectures in Fabric
  • Implement Data Factory pipelines, OneLake shortcuts, semantic models, AI workflows, and enterprise best practices
  • Understand enterprise governance, security, monitoring, and operational strategies in Microsoft Fabric
  • Work with Fabric Data Science, MLflow, notebooks, Spark, and AI-powered analytics workflows
  • Choose the right Fabric workloads for data integration, reporting, machine learning, and real-time analytics
  • Modernize enterprise analytics platforms using Microsoft Fabric and OneLake architecture

Course content

14 sections • 14 lectures • 5h 59m total length

  • Introduction1:24

Requirements

  • No prior Microsoft Fabric experience is required. This course explains concepts from beginner to advanced levels
  • Basic familiarity with data analytics, databases, or cloud computing is helpful but not mandatory
  • A Microsoft Fabric trial account or Power BI account is recommended for hands-on practice
  • An interest in data engineering, analytics, AI, Power BI, or enterprise cloud architecture
  • Optional familiarity with SQL, Power BI, Azure, or Python can help with advanced sections

Description

This course contains the use of artificial intelligence.

Microsoft Fabric is transforming enterprise analytics, AI, data engineering, governance, and business intelligence.

Instead of managing disconnected systems for ETL, warehousing, machine learning, reporting, real-time analytics, governance, and data engineering, Microsoft Fabric unifies everything into one modern cloud-native analytics platform built around OneLake.

This comprehensive course provides a complete enterprise-focused visual guide to Microsoft Fabric architecture, workloads, governance, AI integration, and modern analytics platform design.

You will learn how Microsoft Fabric combines:

  • OneLake

  • Lakehouse Architecture

  • Data Engineering

  • Data Factory

  • Data Warehouse

  • Real-Time Intelligence

  • Power BI

  • Semantic Models

  • AI & Machine Learning

  • Governance & Security

  • Enterprise Analytics

into one connected ecosystem.

This course is designed for:

  • Data Engineers

  • BI Developers

  • Cloud Architects

  • Data Scientists

  • SQL Professionals

  • Analytics Leaders

  • Enterprise IT Teams

  • Microsoft Platform Professionals

Throughout the course, you will learn:

  • Microsoft Fabric fundamentals

  • OneLake architecture and shortcuts

  • Data Factory pipelines and ETL/ELT

  • Lakehouse and warehouse design

  • Real-Time Intelligence and Eventhouse

  • Spark, notebooks, and MLflow

  • AI-powered analytics workflows

  • Governance and security best practices

  • Power BI integration and semantic models

  • Enterprise modernization strategies

  • Capacity planning and operational best practices

This is not a short feature overview or certification cram course.

It is a practical enterprise architecture guide designed to help you understand how Microsoft Fabric works in real-world analytics environments.

Whether you are new to Microsoft Fabric or designing enterprise-scale analytics platforms, this course will help you build a strong foundation in modern unified analytics and AI architecture.

Note: This course includes AI-assisted visual narration and avatar-based presentation technology to support consistent content delivery. All technical instruction, architecture guidance, and educational material were created and reviewed by the instructor.


Who this course is for:

  • Data Engineers who want to learn Microsoft Fabric and modern enterprise data platform architecture
  • Power BI Developers and BI Analysts looking to understand OneLake, semantic models, and Fabric integration
  • Cloud Architects and IT Professionals designing scalable analytics and AI platforms
  • Data Scientists and AI Engineers interested in governed enterprise AI workflows using Fabric
  • SQL Developers, Warehouse Engineers, and Analytics Teams modernizing legacy analytics environments
  • Students and technology professionals transitioning into modern cloud analytics and Microsoft Fabric

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