by freeCodeCamp, featuring Alexey Grigoriev and Adrian Brudaru
Learn how to build modern, scalable data pipelines using Python and AI-assisted tools. This hands-on tutorial starts from the basics of data ingestion and takes you all the way to advanced techniques in data loading, transformation, deployment, and automation.
Take your data engineering skills to the next level with this hands-on course, and prove it with a certificate.
Whether you're starting out or sharpening your skills, this certification helps you showcase real-world data pipeline expertise.
In this two-part tutorial, you’ll:
1. Build traditional ETL pipelines from scratch
2. Learn the core challenges of data ingestion, schema management, and transformation
3. Discover how dlt automates 90% of the grunt work
4. Apply advanced loading techniques like incremental loads, SCD2, and performance optimization
5. Deploy with Crontab, GitHub Actions, Airflow, and more
6. Use LLMs to generate documentation and code
1. Watch the free course on YouTube
2. Fill out the form above to receive access to the certification quiz
3. Pass the quiz with a score of 70% or higher
4. Receive your certificate by email and add it to your resume or LinkedIn
Youtube video: https://youtu.be/T23Bs75F7ZQ