Data Engineering
Become an AWS Certified Data Engineer.
Build, automate and scale the data pipelines that power modern analytics and AI. You train on real pipeline engineering, then sit and pass official global exams from AWS, Microsoft and Databricks.
Certifications you earn
- 22h SQL & Python foundations Advanced SQL & query tuning · Python for data · Git & workflows
- 18h Data modelling & warehousing Dimensional / star-schema modelling · Parquet & partitioning · lakehouse architecture
- 22h ETL / ELT pipelines Batch & streaming ingestion · orchestration & scheduling · API / file / DB / stream sources
- 22h Apache Spark & Databricks PySpark · Delta Lake & Lakeflow · performance tuning
- 22h AWS data engineering Glue · S3 & Redshift · Step Functions · security & governance
- 18h Microsoft Fabric & Azure Fabric pipelines · KQL · data governance
- 16h Data quality, governance & CI/CD Testing & monitoring · cost optimisation · version control
- 14h AI-accelerated data engineering LLMs in data pipelines · AI-assisted SQL & code (Copilot) · GenAI for data quality & docs · vector / RAG data basics
- 16h Capstone project End-to-end pipeline · portfolio build · code review
- 12h Certification prep & exams Mock exams · exam strategy · sitting DEA-C01 / DP-700 / Databricks
- 8h Career & personal branding Resume & interview prep · LinkedIn headshot, profile & content we post for you · internship onboarding
11 modules · 190 instructional hours