This specialization is ideal for data analysts, software developers, data scientists, and IT professionals who want to transition into data engineering roles or strengthen their AWS expertise. It’s also suitable for students and working professionals seeking to understand how large-scale data pipelines operate in the cloud and how to build them efficiently using AWS services.

The course includes approximately 18 hours of video content. Depending on your learning pace and practice time, it can be completed within three to four weeks if studied part-time. Learners who prefer a more immersive experience can finish it faster by dedicating more hours per week.

Yes. The course includes numerous guided examples, real-world scenarios, and walkthroughs that help you apply what you learn. You’ll engage with AWS tools directly, giving you the experience needed to build production-grade data engineering solutions.

By completing this training, you’ll build the technical foundation and applied knowledge required for AWS-based data engineering roles. It also serves as strong preparation for AWS certifications such as the AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Associate, boosting your professional credibility and career prospects in cloud data engineering.

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.