If you are still not too familiar with the concepts learnt, this is a good chance to recap what was learnt that is mostly focused on Courses 3 and 4. Doing this course will help reinforce your learning.

Interesting case study of the current COVID data in building AI models around them. I took the first version of the class and it has a few rough edges (grading mistakes, odd questions, missing instructions, data formatting). Even with the rough spots, the class was a thought provoking experience that required the background of the courses provided, but it also required some outside AI education and experience to come up with answers. Although I have some differences in the approach chosen by the instructors on some topics such as bias, the material is invaluable.

Excellent instructors! The course provided a solid foundation with broad coverage of the topic of AI in Healthcare. It was appropriate for both medical clinicians and AI developers to enable them to come together with understanding to better develop and implement valuable AI tools for future improvement of healthcare.

Getting AI specialization Stanford University is very amazing and effective to start your AI careers. Thank you for all Stanford university lecturers, Thank you Coursera for everything !

The quality of peer review exercises was good and the content of the reading material was well understood

Really enjoy the Capstone projects with wonderful peer-reviewing. Would recommend.

Nicely Framed and Executed in a simple language so anyone can catch up earliest.

Stanford lives up to their reputation of doing good course work.

There are 9 peer review tasks, but they are not obligate ;)

Great program and excellent learning platform!

Some technical issues with the quizzes and assignments (ie one assignment had no question, just an answer). Some fellow students cheated by copy-pasting in the correct answer after evaluating peers. Still, I liked that you had difficult in-depth questions even though we haven't done any ML projects or hands on coding.

A great summary pulling together the material taught in the previous 4 courses. Easy and straightforward to go through. There are a few items in the course that need to be cleaned up, like duplicate quiz questions with conflicting "correct" answers, and opening up the discussion forums.

I would have liked to see more hands on with users actually writing code in a notebook. The quizzes need to be verified because some answers may not be correct.

Good overview for AI in Healthcare but more reading and OTJ training will needed.