PYTHON IS A PRE-REQ!!! It's not mentioned anywhere in the catalog, so I enrolled in this class because it says it's for beginners and drew me in with such catchy things as "how to build and train a CV model using the Apache MXNet and GluonCV toolkit" and "the course is comprised of video lectures, hands-on exercise guides, demonstrations, and quizzes." Knowing nothing of MXNet or GluonCV, I figured, why not try this out? CV is cool. AWS is cool. Well... heh. The first two weeks went by alright, even though they announced in the first video that Python is a requirement, but when the programming assignment came due in Week 3, I had to scramble to figure things out. I downloaded Python, watched tutorials, read through definitions, and somehow managed an 8/10, which is passing.

The lectures are great, but the assignments are definitely not guided. I saved the later videos to watch after I learn Python on my own in due time. I feel it would be a disservice to continue on being confused and not adequately prepared. I want to learn, not haphazardly throw something together. So, DON'T BE LIKE ME, all unassuming. Be prepared. The course looks great, if you're ready.

Also, they use Jupyter notebooks within the Coursera platform, so you don't have to download anything.

Very good course. I was a fan of openCv but now I think it will change.

Just a suggestion that support could have been better and faster.

I really liked this class. The labs were fun to do. I am hoping to pass the AWS Machine Learning certification and I am hoping this class got me closer to that goal.

This has been a wonderful introduction to Computer Vision with GluonCV. Very clear details in each of the videos.

It was a great pleasure to learn this course and I recommend it to all.

It is hard to recollect the videos and text to complete assignments especially module5. But overall the course instructors have explained well and could able to solve all the assignments by checking with documentation and forums.

This course was harder than the others in-spite of the tremendous effort put in by every instructor and guide. But looking at the topic it was well justified and thus brought in a greater sense of accomplishment and confidence as now I can not just say couple of buzzwords but know that I can develop and deploy stuff on my own. Thank you all for your hard work and it was great struggling though those hands on labs and learning and figuring out the consent step by step. Wish for more such courses from AWS.

Amazing course! So many hands-on practical exercises. I truly feel like I gained valuable knowledge during this course on quick and effective ways to apply solutions for object detection, image segmentation and other deep learning use cases. While also getting a first look at building your own neural network, although I'm pretty sure for 95% of deep learning use cases you can use one of the pre-trained network solutions.

Excellent course. A very good introduction to Computer Vision. This course does not require pre-requisite knowledge in Machine Learning and Deep Learning, since most important core concepts will be covered here. I really like the deep dive into GluonCV that helps me build my own Neural Network for Computer Vision applications.

If you want to start out with Computer Vision and all, this is a fantastic cours to start with. In this course they teach you basics and you create your own basic neural networks and understand the workings of a neural network and how Computer Vision works. Thank you to the coursera team as well as AWS team.

This is a great course , i have learned a lot .... Thank you for making this course.

and thank you to the whole aws team and coursera ..

Pretty good for what it is. I think they should create an advanced course on coding an object detector from scratch.

Good course. I learnt how to use pretrained machine learning models to perform image classsification and object detection tasks. I also learnt how to use mxnet and its components for various data manipulation tasks. The course explains the GluonCV model zoo elaborately.

amazing course to learn more about different computer vision models such as yolo ,mxnet etc.easy to understand and assignments are very well planned really enjoyed completing them and learned alot from this course. deeply appreciate this course.

This course is great and very helpful. It is highly recommended for anyone who wants to start using AWS especially for computer vision projects.

Course is good i learned something new i did not know anything about machine learning but after doing this course i feel good

Excellent course, very good level and level between theory and practice.Thanks Amazon and Coursera.

Excellent course! Have had previous intro to CV. This took a level deeper. Thank you, AWS team!

Bestest course ever and bestest teaching of all teachers.......Thank you so much.......

I can not mail sucessfull this certificate .Please certificate share my mail.

The Best course I've ever followed on Coursera. Thank you, Amazon and AWS!

The Programming assignments helped in better understanding of the courses.

Nice cousre, learn alot about computer vision and also Amazon impitation

This course is very effective to understand GluonCV for Computer Vision.

Loved the course, a good mix of theory and practical exercises.