GCP Data Engineer Course

GCP Data Engineer Course

Learn Google Cloud Data Engineering from beginner to advanced. Master Cloud Storage, BigQuery, Dataproc, Dataflow, Pub/Sub, Looker, and more to build scalable ETL pipelines, streaming systems, and enterprise data lakes.

  • 11 Phases
  • 26 Lessons
  • 5.8 Hrs
  • Beginner Advanced
Category Cloud computing
GCP Data Engineer Course
Learning Path 26 Lessons 5.8 Hrs

Start Phase
  • Day in the Life of a Data Engineer 11
  • GCP Data Analytics Services Overview 14

Start Phase
  • Google Cloud Storage Basics 16
  • Cloud Bigtable Overview 18
  • BigQuery Basics 17

Start Phase
  • Pub/Sub Basics 13
  • Dataplex Fundamentals – Metadata, Governance & Lake Management 2
  • Database Migration Service (DMS) 25

Start Phase
  • ETL with Dataflow 15
  • Apache Spark Jobs on Dataproc (Hands-On) 30
  • Event-Driven ETL using Cloud Functions (GCS → BigQuery) 20

Start Phase
  • Dataplex Hands-On: Data Lake Governance & Management 20
  • BigQuery SQL Fundamentals 15

Start Phase
  • Dataflow Streaming Pipelines (Pub/Sub to BigQuery) 8
  • Google Cloud Pub/Sub – Practical Messaging Demo 8

Start Phase
  • BigQuery Partitioning & Clustering 21
  • Looker Studio Dashboards (Quick Start) 20

Start Phase
  • Cloud Composer (Airflow) Basics 9
  • Workflow Orchestration with GCP Workflows 4

Start Phase
  • IAM for Data Engineers 7
  • BigQuery Access Control & IAM Fundamentals 16
  • Cloud KMS & Encryption 5

Start Phase
  • Data Governance with Dataplex Universal Catalog 5
  • Real-Time Streaming Pipeline (Pub/Sub → Dataflow → BigQuery) 8

Start Phase
  • Project 1: Dataplex Data Management & Governance Demo 8
  • Project 2: Real-time Data Pipeline 15

Start your GCP Data Engineer Course journey

Learn at your own pace. Total estimated time 5.8 hours

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