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Learner Reviews & Feedback for Introduction to Data Engineering by DeepLearning.AI

4.8
stars
477 ratings

About the Course

In this course, you will be introduced to the data engineering lifecycle, from data generation in source systems, to ingestion, transformation, storage, and serving data to downstream stakeholders. You’ll study the key undercurrents that affect all stages of the lifecycle, and start developing a framework for how to think like a data engineer. To gain hands-on practice, you’ll gather stakeholder needs, translate those needs into system requirements, and choose tools and technologies to build systems that provide business value. By the end of this course you’ll be spinning up batch and streaming data pipelines to serve product recommendations on the AWS cloud!...

Top reviews

JF

Oct 26, 2024

High level overview is great! But I wish the lab should involve hands-on application, and not just following instructions

HB

May 25, 2025

The coverage of the introductory topics of data engineering is clear and deep enough to provide a good perspective on data engineering principles.

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101 - 106 of 106 Reviews for Introduction to Data Engineering

By Andres F G M

Oct 7, 2025

The Lab of week 4 is something confusing

By Ilya B

Nov 22, 2025

I am extremely dissatisfied with my lab experience (Assignment 3): bad coding practices are being implemented, terraform init stopped working propertly, reboot doesn't reset the setup. No support from Coursera.

By Andre S

Jul 21, 2025

Worst Practial Labs so far. Doesnt work properly and fails often.

By April S

Dec 30, 2024

The instructor skipped some instructions. There was also mis-spelling. I will not be completing this certificate through Coursera.

By Nanne O

Dec 14, 2025

extremey bad, both technology as labs

By Papa S D

May 16, 2025

Disappointed.