Big Data on the Cloud

What You Will Learn

• Navigate core services on AWS, GCP, and Azure relevant to data platforms.
• Design storage and compute patterns across the major clouds.
• Implement modern lakehouse patterns with Delta Lake and open table formats.
• Tune Snowflake for performance, cost, and governance.
• Automate infrastructure with Terraform and ship pipeline changes with CI/CD.
• Plan, build, ship, and optimize a cloud migration capstone.

Full Curriculum

1. 01Cloud Foundations: AWS, GCP & Azure for Data Engineers
2. 02Cloud Storage & Compute Services Across the Big Three
3. 03Modern Lakehouse: Delta Lake & Open Table Formats
4. 04Snowflake at Scale: Performance, Cost & Governance
5. 05Infrastructure as Code with Terraform
6. 06CI/CD for Data Pipelines with GitHub Actions
7. 07Capstone Project Part 1: Cloud Migration, Plan & BuildProject
8. 08Capstone Project Part 2: Ship, Optimize & ReviewProject

Instructor

Isuru Alagiyawanna

Lead Instructor & Head of AI Engineering

Isuru leads Zuu Crew'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.