Great introduction and review

R​eally useful

G​reat course

Great Course

M​y feelings are that this is a nice course but I'm a bit mixed on the assignments side. The notebooks were written almost entirely already and I had to simply write down the name of some variables. Is it really this easy to train and deploy ML models using the AutoML tools in SageMaker? Or were the notebooks too easy?

Overall great course. Presentation by the instructors was very well done. The labs were a bit too easy, though. Exercises usually only consisted of copying and pasting a missing value from A to B.

Very useful content and helpful labs. Labs sessons expired in 2 hours and no work could be saved which is frustrating, make sure to submit work ASAP before diving into the detailed content.

V​ery informative and provides a good runthrough of the technology and concepts. However, projects don't leave room for students to experiment with the technology for themselves.

Great course! T​he only thing that's not specified is the cost of the tools we learn how to use. Is SageMaker free, or is there a cost?

It's good in general, but I would have liked some explanation in the style of the code walkthrough.

Week 3 lab gave me hard time. Otherwise the course is great. Lectures are short and I like that.

Good course but my doubts are not getting resolved even if i post in deeplearning community.

It is difficult to understand completely lab exercises . Very Nice course!!

good course but need more chalenges

This course gives a high-level overview of how various aspects of data science (primarily, data exploration and AutoML) can be done by using AWS SageMaker. The labs work well from the implementation standpoint and the examples are very relevant. What could be improved: 1. delivering the content in a bit more engaging manner, 2. adding more material meat instead of glancing over the topics and mostly requiring us to change variable names to pass the course labs, without ensuring that we get deeper understanding of the APIs and concepts.

I was a little disappointed in the courses in this specialization - the issue is that a large part of the coding was already done. In order for this course to be an "advanced" level course, the students should be asked to write their own SQL/pandas/python code for database access and data processing.

The course was a bit quick and the exercises are trivial to complete. Last week's context was on my opinion more useful .It would have been nice to see how to use our own scripts.

A few interesting new tools but the course in general was very basic, and the exercises very easy

Not a well structured course

P​aid advertisement. I paid.

​Problem with graded external tool