The bootcamp covers 400+ hours of course work, with a combination of lectures, readings, projects, and career resources that are geared towards technologies used by the most data-forward companies.
Master Hadoop, Apache Spark, Azure and Docker.
Demonstrate your skills through two guided capstones where you’ll create, scale, and deploy data pipelines.
Graduate with a unique portfolio and a certification from the Washington University in St. Louis Technology and Leadership Center.
This Data Engineering Bootcamp is designed for people with at least a year of experience in data or software engineering, who want to become data engineers.
Prerequisites and course requirements
The syllabus, mentorship details and further information is available on the UCSD Extension course page.
Learn more