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Learn Microsoft Fabric

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Explore the core services and capabilities of Microsoft Fabric

  • Build end-to-end data analytics solutions for lakehouses and data warehouses

  • Implement real-time analytics and data science workflows

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Recently updated!

April 2026

Assessments

11 assignments

Taught in English

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There are 11 modules in this course

This section introduces Microsoft Fabric as a unified analytics platform, focusing on its core capabilities and how it simplifies data management.

What's included

2 videos3 readings1 assignment

In this section, we explore Microsoft Fabric workloads, including Data Factory, Data Engineering, and Real-Time Analytics, to build end-to-end analytics systems with practical applications.

What's included

1 video9 readings1 assignment

In this section, we explore building an end-to-end analytics system using a lakehouse architecture with Medallion layers, Delta Lake, and OneLake for unified data storage and analysis.

What's included

1 video6 readings1 assignment

In this section, we explore building an end-to-end analytics system using a data warehouse, focusing on data ingestion, T-SQL transformation, and ETL orchestration with Data Factory for practical data processing and reporting.

What's included

1 video4 readings1 assignment

In this section, we explore real-time analytics systems, focusing on data pipelines, Kusto Query Language, and Power BI reporting for scalable data solutions.

What's included

1 video1 reading1 assignment

In this section, we explore building an end-to-end analytics system using AI and ML, focusing on data ingestion, model design with LightGBM and FLAML, and operationalizing models in Microsoft Fabric.

What's included

1 video5 readings1 assignment

This section covers monitoring Data Factory, Spark, and real-time analytics in Fabric for improved performance and reliability.

What's included

1 video1 reading1 assignment

In this section, we explore enabling Microsoft Fabric in a tenant, managing Spark job configurations, and associating capacities with workspaces for efficient resource allocation and performance optimization.

What's included

1 video2 readings1 assignment

In this section, we examine Microsoft Fabric's security and governance frameworks, focusing on platform protection, workspace permissions, and compliance strategies to ensure data integrity and regulatory adherence.

What's included

1 video3 readings1 assignment

This section covers CI/CD pipelines, Git integration, and managing database code in Fabric data warehouses.

What's included

1 video2 readings1 assignment

This section explores Copilot's AI capabilities in Fabric, focusing on data engineering, Power BI, and narrative creation.

What's included

1 video2 readings1 assignment

Instructor

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