Welcome to the fourth course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will build upon the Cloud computing and data engineering concepts introduced in the first three courses to apply Machine Learning Engineering to real-world projects. First, you will develop Machine Learning Engineering applications and use software development best practices to create Machine Learning Engineering applications. Then, you will learn to use AutoML to solve problems more efficiently than traditional machine learning approaches alone. Finally, you will dive into emerging topics in Machine Learning including MLOps, Edge Machine Learning and AI APIs. This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering. Students should have beginner level Linux and intermediate level Python skills. For your project in this course, you will build a Flask web application that serves out Machine Learning predictions.
Great Intro into DevOps and MLOps for beginners, Also good explanation and practical application examples
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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
Absolutamente útil
Great coruse
Great course
cool course
Excelente
good
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.