This course is very important and practical. If you get this course, I think you can construct a deep learning system and debug it, then improve it.

More theoretical than the other courses, but a great way to exercise the concepts and how to structure the project your application wishes to solve.

The course is quite inspiring. It offers plenty of practical high-level ideas, strategies, and plans. The simulation questions are quite intriguing.

This course teaches useful concepts that are not mentioned in the university courses or popular textbooks. Moreover, the courseworks are insightful.

It's an awesome course. It's important to know how to structure a project and what should be the whole approach. And, This course covers just that!

I like that it gives me the idea on some kind of framework to use when thinking on how to start and how to progress with a machine learning problem

Great Course, got a in-depth knowledge of deep learning, now i got a better understanding how to approach a deep learning problem more efficiently.

I really enjoyes this course, tho it was theoretical but was quite intersting possibly due to variety of examples taken in this course.

Thanks a lot

It's a quality course with needful things to empower the beginners for making strategic choices while working on their ML project. Very insightful.

Good for the stage just after learning the basics of deep learning. Good for orienting myself confidently in a direction to solve problems with DL.

After study this course, many real world project related doubts have been cleared. It gives very concise and valuable information about ML project.

Learning the practical tips for implementing the DL algorithms and several ways for improving their efficiency through the best professor. Awesome!

Another great course from Andrew Ng and the Team

I tend to only work on the weekends and I can finish the lectures and assignments during that time.

very informative course on how to organize your project and use the datasets in a more efficient way and avoid strategies which waste time at start

Useful course not only for deep learning but for other ML algorithms. Reviews issues that one needs to be careful about using statistical methods.

This course tells more method and more details to develop a NN to solve problems. It's really benifitial to know what DL is from the birth of a NN.

Very practical course that explains a lot of rookie mistakes. I love how Prof.Ng makes everything magically easier to learn. He has a natural gift.

This is really helpful for people who want to enter the area of deep learning. Andrew shared with us a lot of ideas, and structured it really well!

Excellent way of teaching the case studies really allowed to me think deeply about the topic and help to develop a good understanding of the topic

I now have a better qualitative approach to solving the ML problems and also come up with effective strategies to improve my overall skills in DL.

As usual the course rocks. Love Andrew's video lectures and clever quiz questions which reinforces how to structure the machine learning projects.

I really liked the simulator approach. Really love being able to learn from Andrew's practical experience, great professor who knows how to teach.

This course is a little short but I still felt leant some useful experience of AI engineering. Thanks the teachers and follows behind this course.

Excellent Course that gave me a lot of insight and much of practical advice.

Highly Recommended.

Thanks, Andrew and the whole deeplearning.ai team.

I wanted to skip this one as it sounded not-so-exciting. But it turned out to be a great one, especisally if you are practicing building deep NNs.