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Beginnt 4 June 2026 02:04

Endet 4 June 2026

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Data Science with Microsoft Fabric

Unlock the power of Microsoft Fabric to design, implement, and govern modern data science solutions while seamlessly integrating AI with BI workflows for actionable insights.
via Pluralsight

659 Kurse


1 hour 18 minutes

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Übersicht

Unlock the power of Microsoft Fabric. In this course, Data Science with Microsoft Fabric, you’ll gain the ability to design, implement, integrate, and govern modern data science solutions.

First, you’ll explore how to craft data science solutions in Fabric, learning its architecture, advantages, limitations, and how it compares to other platforms, while identifying the best use cases. Next, you’ll discover how to build workflows in Fabric.

Then, you’ll learn to integrate AI with BI in Fabric, connect semantic models, leverage Azure AI services, and apply NLP to derive actionable insights while seamlessly blending AI with BI workflows. Finally, you’ll explore sustaining and governing solutions.

By the end of this course, you’ll have the skills to build scalable, governed data science solutions in Microsoft Fabric, integrating AI and BI effectively.

Lehrplan

  • Introduction to Microsoft Fabric
  • Overview of Microsoft Fabric architecture
    Key advantages and limitations
    Comparison with other data science platforms
    Identifying ideal use cases for Microsoft Fabric
  • Designing Data Science Solutions in Fabric
  • Planning methodologies for data science projects
    Key components of a Fabric solution
    Best practices for designing scalable solutions
  • Implementing Workflows in Microsoft Fabric
  • Creating and managing data workflows
    Tools and features for workflow automation
    Hands-on workshop: Building a sample workflow
  • Integrating AI with BI in Fabric
  • Connecting and utilizing semantic models
    Leveraging Azure AI services within Fabric
    Application of Natural Language Processing (NLP) for insights
    Case study: Blending AI with BI workflows
  • Governing and Sustaining Data Science Solutions
  • Governance frameworks and policies
    Maintaining data integrity and security
    Monitoring and optimizing Fabric solutions
  • Practical Applications and Case Studies
  • Real-world examples of successful Fabric implementations
    Capstone project: Designing a comprehensive solution using Fabric
  • Course Conclusion and Skills Assessment
  • Review and Q&A session
    Final assessment to evaluate understanding and skills acquisition

Unterrichtet von

Neeraj Kumar


Fachgebiete

Programming