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Data Engineering Courses and Certifications

Where to learn data engineering and which certifications to take, from SQL basics to lakehouse and streaming platforms.

47 topics•7 categories•Updated October 2026

How to Choose a Path

4 entries

Data engineers build and run the pipelines, warehouses, lakehouses and streaming systems that feed analytics and AI. Learn SQL and Python first, then pipeline orchestration and one cloud or lakehouse platform, and add a certification for the platform you use.

Step 1: Fundamentals

5 entries

SQL, Python and core data concepts.

Step 2: Courses & Free Bootcamps

7 entries

Structured programs that build full pipeline skills.

Step 3: Cloud & Lakehouse Certifications

10 entries

Role-based credentials on the major data platforms.

Tool-Specific Training & Certifications

12 entries

Orchestration, transformation and streaming.

Data Management Credentials

2 entries

Governance and data management beyond pipelines.

Related Pages

7 entries

Neighbouring pages on this site.

Frequently Asked Questions

How do I become a data engineer?

Learn SQL and Python, then a pipeline orchestrator such as Airflow, a transformation tool such as dbt, and one cloud or lakehouse platform. Build a portfolio project that ingests, transforms and serves data.

Which data engineering certification should I take first?

Choose the platform you use: AWS Certified Data Engineer Associate, Microsoft Fabric Data Engineer Associate, Google Professional Data Engineer, or Databricks Certified Data Engineer Associate.

Are there free data engineering courses?

Yes. The Data Engineering Zoomcamp is a free, project-based course, and Confluent Developer, dbt Learn and Microsoft Learn offer free training.

Do I need a certification?

No, but a platform certification helps show baseline skills. Projects and hands-on experience matter as much.

How current is this page?

Links were checked in October 2026. Exam names, versions, prices and retirement dates change often, so confirm details on the provider's own page. Descriptions summarize each provider's pages, and listing is not an endorsement. Sites that block automated checks are kept and may need a manual click.