I'm using Coursera for more than 2 years and this is my first bad experience with a Cousera's course. This course seems just like an extended advertisement for AWS. This course neither contains any practical exercise for students to try on AWS nor any strong technical details about ML.

DO NOT TAKE THIS COURSE if you're not already a machine learning expert!

This course only shows you how to use different Amazon Web Service applications. It will not teach you anything about the basics of machine learning. This is what I thought by the way...

Very sloppy. Typos in the slides, cases of duplicate videos appearing in the same week, and quizzes where none of the answer choices are correct. I've come to expect better from Coursera. This was a huge disappointment.

This course is a compilation of unstructured content that has been taken from the actual AWS certification programs. Most of the videos have repetitive content. The initial week includes content regarding the theoretical aspect of machine learning, which in general is adequate. In week 2,3,4, Amazon advertises their services and persistently tell you that why even bother learning about machine learning. The last week has some videos that are very lengthy which jump from 10 to 100 in terms of theoretical and practical knowledge, thus making a huge gap in the learners learning. This course tends to fail in recognising their target audience. Other cons: IMO purchasing this course is of no use. The course, for the least, could have provided labs for specific modules to explore the platform and to better understand the concepts taught step by step. Moreover, I am extremely disappointed from Coursera for providing such courses. Courses as such, in my opinion, are becoming a new medium to advertise your brand instead of providing insightful knowledge.

The starting 2 weeks were informative and then it seemed like an amazon commercial.

Not deep into ML techniques, but a lot of demos and how to use as the best AWS features for a smooth ML processes

Poorly prepared course. The quizzes ask only one or two questions. The workload is not divided properly. Some weeks have hours long videos and some has a few minute ones. It seems like an intern has combined the videos from AWS library to generate some traffic on Coursera. There are only demos of the tool and no hands-on labs like the ones Google offers. You are much better off seeing the videos on AWS's portal.

Demonstration is very fast and in week five one video is 70 minutes long. It can be divided in to several short videos. Seeing a long video is creating a boredom. Otherwise it is a very nice course.

The course materials and lecture delivery was just one of a kind,I have learnt a complete skill on Machine Learning and its Algorithms.I hope this will lead me towards a next level of Data science.

The course seem to be balanced between those who are in machine learning already and want to use the AWS tools, and those who want to use machine learning tools but not the go deep into data science. I enjoyed the course, but it will be more helpful if you could separate the courses and give those already into machine learning, more hands on to the AWS tools and remove the repetitiveness in the concept we already know. Coming from ML Course (Stanford) by Andrew Ng. Week 4 and 5 had a lot of useful concepts that we can use. Over-rally it was worth every pen.

A very good guide for understanding the full Amazon web services flow but lack of proper implementation

Is there a way to cancel?

Dan Mbaga, Kirsten Dupart and Denis Batalov were quite instrumental and to the point. I appreciate these sessions but would want Coursera to allow free users to submit the quiz at the end of these courses (as of now, it shows a button to upgrade).

Very good course to learn basics of Machine learning for beginners. Instructors are very knowledgeable.

I got lot of learning and motivation to continue my learning in area of machine learning.

Who is this course for: People with basic ML knowledge and decently good at using APIs with Python.

What can you do after this course: Be conversant in chaining AWS services to put ML theory knowledge into practical applications. Brainstorm and deploy an AI-powered feature/product for your business/project.

Comments: Good overview of AWS products. ML pipeline and architecture shared is useful as a reference. This course should be much cheaper as it is a curated list of existing AWS training videos with no additional benefits like labs or coupons for hands-on learning.

The same content presented over and over again. Most trainers were just reading a text like a robot.

In overall, it was disappointing.

Is more of a marketing ad than an actual course

This course is basically an AWS commercial.

what shit

no labs.

Thank you Coursera ! i have enjoy your E-learning programe

i think some topic very dificult for me and i can't undestand some topic.

i hope i will start again and review again all module.

Great content for someone new to this space. I really enjoyed all the information, thanks to all who are willing to share the knowledge. I'm ready to tackle the next course of AWS ML.

It's a practical easy to follow introductory course of AWS machine learning with Sagemaker. I'm looking forward to learning more about Sagemaker and get some practical experience.

Good overview of ML with some deep technical sections as well

A fair start to an overview of machine learning and aws services with hands-on exercise. There is lot of space for improvements on course and quiz contents (Some videos and quiz options are duplicated).

Rather than an end quiz, few quizzes in between the long videos would ab better. A hands-on project for completion assessment can also be included.

Recommendation rating for healthcare professionals (myself being one): 2.8/5 (where 0= never recommend , 5= highly recommend)