Big Data on the Cloud
Data EngineerIntermediate to Advanced

Big Data on the Cloud

AWS, GCP, and Azure for data engineers, Delta Lake, Snowflake performance, Terraform, GitHub Actions CI/CD, and a two-part cloud migration capstone.

8 Weeks8 modules6 Modules + 2-Part Capstone
What you'll build5 outcomes
  1. 01Navigate core services on AWS, GCP, and Azure relevant to data platforms.
  2. 02Design storage and compute patterns across the major clouds.
  3. 03Implement modern lakehouse patterns with Delta Lake and open table formats.
  4. 04Tune Snowflake for performance, cost, and governance.
  5. 05Automate infrastructure with Terraform and ship pipeline changes with CI/CD.
Full curriculum8 items · 2 projects
01Cloud Foundations : AWS, GCP & Azure for Data Engineers
02Cloud Storage & Compute Services Across the Big Three
03Modern Lakehouse : Delta Lake & Open Table Formats
04Snowflake at Scale : Performance, Cost & Governance
05Infrastructure as Code with Terraform
06CI/CD for Data Pipelines with GitHub Actions
07Capstone Project Part 1 : Cloud Migration, Plan & Build
Project
08Capstone Project Part 2 : Ship, Optimize & Review
Project
Instructor
Isuru Alagiyawanna

Isuru Alagiyawanna

Lead Instructor & Head of AI Engineering

Isuru leads Zuu Crew AI's technical direction and curriculum design. He has trained students and professionals across practical machine learning, MLOps, and AI engineering systems with a strong emphasis on shipping production-grade work.

University of MoratuwaRobert Gordon University, UKHead of AI Eng, Veracity GroupAWS ML EngineerTensorFlow Certified

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