Once again, disappointing repetitions. Weak syllabus structure. It is based chiefly on Mr Gift's practical know-how. He seems to me like a Cloud/DevOps evangelist really, and a fan of black-box ML solutions.

The course is an introduction with a lot of repetitions from other courses of this specialization. I don't like how the information is prepared. A lot of videos are lectures from the instructor's work in university and from other courses (e.g. courses from Udacity). Don't think that certificate really costs that money.

The lectures are not easy to follow and reproduce as the platforms and tools have changed since the time of the publication. Also, the lectures have been hastily put together and it shows: Very often it is like a live session (Will it work? Will it not work?) vs a recorded class. The writing on screen is also sloppy - powerpoint would definitely help.

Amazing teacher and perfect mixture of necessary informations. It was a privilage to learn from him, i recommend this course for every ML Engineer.

Great Intro into DevOps and MLOps for beginners, Also good explanation and practical application examples

Excellent course, very concise but complete, if possible a second version would be ideal

Insightful, complete, in detail. Recommended

Great course

cool course

Excelente

Nice content and complete due that the course show the three main/popular options for MLOPs solutions: AWS, GCP and Azure... I prefer explanations using slides due they are more systematic and when is possible try to avoid some demos in an spontaneous way...

Really enjoyed the whole specialization! The 3rd course on data engineering has some editing and redundancy issues, but otherwise, this very hands-on and to-the-point approach was fantastic. Many thanks.

Great course to know practical ideas and concepts.

good

The covered topics are mostly interesting. Though, the course could benefit from a revisit as there are many parts that feel redundant, overall structure of the course feels unclear etc.