A good introductory course that provides a good framework on how to think about the data engineering discipline. I particularly liked the simulated conversations with other stakeholders. They were quite representative of real world interactions. In my opinion, the only downside were the labs. They were too easy and almost entirely involved following direct instructions provided as part of the comments and did not involve any thinking to be done on the learner's part

Labs were very much handheld with every step being explained, not much do it yourself

The "Introduction to Data Engineering" course on Coursera provides an excellent foundation for those new to the field. It strikes a good balance between theory and practical application, covering key concepts like data pipelines, cloud services, and how to translate business requirements into technical solutions. The course offers hands-on experience with AWS tools such as Lambda, Glue, Kinesis, RDS, and Firehose, giving learners practical skills to build and manage data pipelines. The mental framework for problem-solving and understanding functional and non-functional requirements is a highlight. Overall, this course is a great starting point for aspiring data engineers, offering both foundational knowledge and hands-on experience with industry-standard tools.

I recently completed the "Introduction to Data Engineering" course by DeepLearning.AI and AWS. The course provided valuable insights and practical knowledge that deepened my understanding of data engineering concepts. The instructor's expertise was evident and truly inspiring. However, I encountered challenges related to IAM permissions while configuring a Lambda function, which hindered my progress. Guidance on resolving such issues would enhance the learning experience for future participants. Overall, I highly recommend this course for anyone looking to delve into the field of data engineering!

The course material is of outstanding quality, featuring challenging labs that effectively stimulate learning. The insightful interviews, especially those involving Sol Rashidi, were a highlight. Joseph Reis, a new instructor to me, impressed with his humility and generosity with the interviewees and content. The updates to the content promise even more value with Morgan Willis, whom I admire, along with the entire AWS e-learning team. I follow them whenever possible, even in gamified interactions on Twitch and on AWS events. Grateful for this enriching experience. +5 stars!

Great course, nice get-your-hands-dirty-quick approach, with lots of theory though 😅 Worth it in the end, even if it feels overwhelming (and maybe a bit boring) at the beginning! P.S., @Joe, you're an awesome instructor, but please try to be more engaging, I found myself losing focus a lot in the videos with only theory -- the other videos about AWS labs with Morgan, simulted interviews, etc., were more lively and focus-grabbing. Could be just me, thanks for all of this, nonethless! 💖

Coming from a background in data analysis and data science, I had always focused on the latter stages of the data lifecycle. This course illuminated the extensive groundwork required to make data analysis possible. It bridged a significant knowledge gap, showing how raw data is transformed into a usable resource for analytics and machine learning.

Although the theory might be boring for some folks, but I found theory very critical to setting up a good foundation to implement efficient data analytics pipeline. It's very important to know to interact with the different stakeholders to gather their data need and bring that to life through the data pipeline

Lots of theory and cursory application of that theory. BUT, I feel like I understand the fundamentals of data pipelines now at a high level. AND, I feel like I understand AWS so much better now. It's like the "closest to the metal" that you can get as a modern software/data engineer.

This first course is what I was looking for. A set of solid bases and guidelines to design professional data systems. The content of this course is really clear and accurate, approaching key topics when you start a new system.

This is truly a comprehensive course . Joe has covered the multiple facets of data engineering in a typical enterprise set up and has been very lucid in the explanations. The method of delivery of the course is very engaging

Really informative and the graded hands-on assignments were really good as well. As an aspiring data scientist / AI engineer, I learnt a lot about data engineering and how it relates to a data scientist. Highly recommended!

Very thorough and applicable to the real world. Joe and his guests provided great insights into who Data Engineers are, their role in the overall business context, and how Data Engineers provide value.

This is a lot of contents for just the first week, but everything is well explained. We have a now a good understanding of some key concepts pertaining to Data Engineering.

Awsome course Joe goes over details of the fundamentals of data engineering and i learn many things i didn't expect in this course. I can't wait to start the second course.

One of the best courses in the platform, it will guide you to the fundamental principles of data engineering and you'll build your first pipeline for stream and batch data

This course fulfills what it says it will give - make you think like a data engineer. Has exceeded my expectations. And so far, the BEST data engineering course out there.

Excellent course. Good combination of theory with the work with current tools in the market. I would have liked to have more time for reviewing the details and links.

I appreciate the addition of the DE mental framework as it gives a whole lot of context to the more practical knowledge that will be learned in the next courses.

Fantastic foundational course on Data Engineering. Really looking forward to the next one : )

Amazing, very comprehensive course! Thank you for your dedication in creating this treasure!

Good theory introduction, and looking forward to the hands-on practices in the next courses.

Incredibly helpful for building a mental framework for how to think as "Data Engineer".

Really good structured and grasping all related important data Engineering concepts

Es una introducción general muy clara y emocionante al campo de ingeniería de datos