This course is more about Reccommender Systems than deployment of models. Actually, there's just a few classes about model deployment, but no practical exercises. However, the Reccommender Systems classes are good for beginners. The teachers are good as well.

Deployment was not even taught. misleading title, underwhelming content.

The course was really good. I thought it is related with flask or django, but only introduction was given and they didn't teach flask. The name of the course should be "building recommendation systems" in my opinion.

The course is very good, but the evaluation process is terrible, it depends on someone that can evaluate your project.

Topics are hastily rushed. Recommender system is complex and need more in depth teaching.

You need to find a dataset to answer final capstone project which can be hard to find to fulfill the grading criteria

nada que ver con el título que venden

really a good one, i learn a lot with the proyects

.......

Good

good

I Liked the Course in general especially the recommender component. I would seriously recommend making major improvements and clarification to the capstone project.

A good course on deploying your ML product.

Overall, a good course.

Some of the questions in the quizzes were not so useful in my opinion.

The first three courses of this specialization were better.

There seem to be not so many participants, so peer grading can take much time.

It was not what I expected. Sorry my mistake

Eu achei um pouco superficial.

Awful course, garbage content and no any peers to check your work

Not so helpful