Udemy

End-to-End Data & AI: Microsoft Fabric + Azure OpenAI

立即報名
  • 391 名學生
  • 更新於 5/2025
4.5
(40 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
10 小時 21 分鐘
教學語言
英語
授課導師
Kuljot Singh Bakshi
評分
4.5
(40 個評分)

課程簡介

End-to-End Data & AI: Microsoft Fabric + Azure OpenAI

Learn Microsoft Fabric, Azure OpenAI, OneLake, Apache Spark, Synapse ML, MLflow & prepare for DP-700/DP-600 cert

Unlock the Future of Unified Data & AI with Microsoft Fabric and Azure OpenAI!
Are you ready to become a certified expert in modern data analytics and artificial intelligence?
This comprehensive course, “Data and AI with Microsoft Fabric & Azure OpenAI,” equips you with the in-demand skills for mastering Microsoft’s unified analytics platform.

Designed for data engineers, data scientists, cloud professionals, and business analysts, this course provides hands-on training in Fabric’s complete suite — including Data Engineering, Lakehouses, Data Warehousing, Real-Time Analytics, ML with Synapse, and AI with Azure OpenAI.

What You’ll Learn:

  • Understand Microsoft Fabric Architecture: SaaS-based unified analytics platform covering data ingestion to visualization.

  • Master OneLake: Learn how Microsoft’s unified data lake enables secure, scalable, and collaborative data storage.

  • Data Engineering with Apache Spark and PySpark: Build ETL pipelines and automate workflows.

  • AI & ML Integration: Train and deploy ML models using MLflow, SynapseML, and Azure OpenAI for generative AI use cases.

  • Certification Ready: Aligns with objectives from DP-700 (Data Analyst Associate) and DP-600 (Fabric Analytics Engineer).

  • Real-World Projects: Work on practical scenarios simulating enterprise-scale data and AI implementations.

Who This Course is For:

  • Data Engineers & Scientists: Automate pipelines, manage big data, and deploy AI/ML solutions.

  • DP-700 / DP-600 Aspirants: Get certified with practical and theory-aligned content.

  • Cloud & AI Enthusiasts: Learn how Microsoft’s next-gen platform integrates with Azure OpenAI, Power BI, and Synapse.

  • Business Professionals & Leaders: Learn how to harness unified data platforms to drive insights and decision-making.

Tools and Technologies Covered:

  • Microsoft Fabric, OneLake, Data Factory, Data Engineering

  • Apache Spark, PySpark, MLflow, SynapseML

  • Power BI, Azure OpenAI, Lakehouses, Notebooks

  • Data Warehousing, Real-Time Analytics, Delta Lake

By the end of this course, you will:

  • Confidently navigate Microsoft Fabric’s end-to-end data workflow

  • Build and deploy AI models using Azure OpenAI and Synapse ML

  • Prepare for DP-700 and DP-600 certifications

  • Apply your skills to real-world projects in data engineering, analytics, and AI

Don’t miss this opportunity!

Stay ahead in the data revolution and become a leader in AI-powered analytics.
Enroll now in Data and AI (Microsoft Fabric & Azure OpenAI) and future-proof your career.

課程章節

  • 7 個章節
  • 48 堂課
  • 第 1 章 Introduction
  • 第 2 章 Important Concepts
  • 第 3 章 Microsoft Fabric Lakehouse and Warehouse
  • 第 4 章 Predictive AI with Fabric: Building Your Own/Custom Models
  • 第 5 章 Predictive AI with Fabric: Using Prebuilt Azure AI Models
  • 第 6 章 Gen AI Primer (GAI-101)
  • 第 7 章 Generative AI (Azure OpenAI) with Fabric

課程內容

  • Microsoft Fabric, Data Analytics, AI/ML with Microsoft Fabric, Generative AI (Azure OpenAI) with Microsoft Fabric


評價

  • O
    Oumar Coulibaly
    1.0

    Need actions on AI

  • A
    Abhisheck Bharcdwaj
    3.5

    less of advertisment straight to course

  • S
    Srđan Drljača
    4.5

    Great course! To make it 5* it should in Fabric part: 1. Explain Delta table structure (parquet+delta log folder+json) and time-travel 2. Expain merge function 3. Make exmples more real-life practice: e.g. In Lecture 18, create the Silver and Gold schemas and SaveAsTable into their corresponding schemas

  • s
    stephane Gaston
    4.5

    great course

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