Data Engineering Foundations
This course prepares you for the AWS Solutions Architect Associate credential. University partner: Partner University (sample).
Databases, distributed systems and data modelling from university faculty; SQL at scale, Python pipelines, Spark and cloud data platforms from working data engineers.
Who this course is for
Data analysts and developers who want to build pipelines, and engineering graduates with SQL and Python.
What you will be able to do
Graduates are ready for junior data engineer and analytics engineer roles.
Careers this course serves
Jobs this course leads to
Roles from partner employers that name this course's certification.
Syllabus, by who teaches it
Progress is tracked separately for theory and practical, and both are assessed.
- A1Advanced SQL and database internals
Indexes, query plans and transactions.
- A2Data modelling for analytics
Dimensional models and the modern lakehouse.
- A3Distributed data processing
How Spark and warehouses scale.
- A4Data quality and governance
Contracts, lineage and testing.
- B1Python pipelines
Extract, transform and load with pandas and orchestration.
- B2Spark
Batch processing on Databricks or a cloud cluster.
- B3Cloud data platforms
A warehouse on BigQuery, Snowflake or Redshift.
- B4Orchestration and monitoring
Airflow, alerts and cost control.
- B5Industry project
A production-style pipeline for a partner company's data, reviewed by their data lead.
Certifications this course prepares you for
Ready for Data Engineering Foundations?
Ask about the next batch, fees and whether your employer can sponsor the seat.