Azure Data Engineer Course

Azure Data Engineer Course

Learn Azure Data Engineering from beginner to advanced. Master ADLS Gen2, Azure Data Factory, Synapse Analytics, Databricks, Event Hubs, Stream Analytics, Cosmos DB, Power BI, and more to build scalable ETL pipelines, real-time data streams, and enterprise data platforms. Includes hands-on real-world projects.

  • 10 Phases
  • 23 Lessons
  • 7.2 Hrs
  • Beginner Advanced
Category Cloud computing
Azure Data Engineer Course
Learning Path 23 Lessons 7.2 Hrs

Start Phase
  • What is Data Engineering? 3
  • Azure Data Analytics Services Overview 20

Start Phase
  • Azure Data Lake Storage (ADLS Gen2) Basics 5
  • Azure Cosmos DB Overview 30
  • Azure Synapse Analytics Basics 30

Start Phase
  • Azure Event Hubs – Real-Time Streaming Ingestion 32
  • Azure Data Factory – Ingestion Pipelines with Copy Activity 14
  • Azure Database Migration Service – Database Migration 40

Start Phase
  • ETL with Azure Data Factory 25
  • Apache Spark on Azure Databricks 10
  • Azure Functions for Event-Driven Data Processing 15

Start Phase
  • Data Governance with Microsoft Purview (Azure Data Lake) 4
  • Serverless SQL Pool 8

Start Phase
  • Azure Stream Analytics 24
  • Kafka on Azure (Event Hubs – Kafka Compatible) 38

Start Phase
  • Synapse Performance Optimization 18
  • Power BI Dashboard Hands‑On 12

Start Phase
  • Azure Durable Functions 22
  • Apache Airflow on Azure using AKS 35

Start Phase
  • Azure RBAC & Managed Identity 14
  • Azure Key Vault Encryption 18

Start Phase
  • Project 1: Azure Data Lake Project (Quick Start) 14
  • Project 2: Real-time Streaming Pipeline (Databricks + Event Hubs Demo) 1:00

Start your Azure Data Engineer Course journey

Learn at your own pace. Total estimated time 7.2 hours

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