good

yes

hap

ok

5

The videos must contain sanitised code and error free code at once. It creates a confusion sometimes. Overall, the course is awesome and I learned tons of new things and more confident to step in the professional world. Another thing is x2go client configuration which gives an error of inability to start xfce4 session must be addressed in Windows 10 OS. Otherwise, the course was awesome and I would like to thank the instructor from the deep of my heart.

It's a great course to get into DevOps for DataScience, Azure ML API and the ML library. The only thing I think should be done is to spend a few more words on the deployment. It is not a topic that is covered in university courses or in companies where machine learning is only a tool that has yet to be well taken into consideration. Anyway! Thanks I lot! I learned a lot!

I did learn about developing AI on Azure, but it was painful. The course is not organzied, especially towards the end, with many mistakes. Many typos and delete and rewrite during videos that could have been polished. The instructor did not make the expected effort to fix numerous errors and useless repetitions. Also Azure changed a bit since the course.

Content is good enough for introduction. This course gives the main gist of the Azure AI applications. Lecturer is very confident in his topic. Only down-side is the labs. Labs and assesment of them are on the student's reponsibility. There can be a tool to measure how well a student doing on the lab execises. Thank you for this nice course.

The content of the course was alright and informative; however, the instructors did not walk me through steps an understanding and educational way. It was more of listing things on Azure. The quizzes were also not useful things like "what is the name of X in Y" don't mature the depth of your knowledge, it's just memory.

Great course with applied examples really usefull to practice/combine in the work, however sometimes it's hard to follow all the steps. I'm taking the course on march 2021 and some of the tools like Jupytner notebook have changed, it would be better an update to the course

Great course to learn every thing from developing to deploying a ML application using Azure ML service. Also, covers different Azure Cognitive APIs like Vision API, Web Search API, Language API and Decision API.

It includes both theoretical and practical, the files should be given to us earlier to let us do the drill together

It can be more interactive

Gives a very good overview of Azure ML and services. The example are great to start. If you want to start with Azure and ML perfect course.

i learnt something new even though i had to be quick due to the free course expiration and Thumbs up to my instructor

my basic is chemical engineering but i interested with AI, This courses help me to know about AI aplication on azure

Adding some graded programming assignments would push engagement of the material better, in my opinion.

Course gives a comprehensive perspective on implementing ML in Azure. It is a good idea to update it.

It was very fantastic course which can bulid the life students or people thank u very much 😍😘🥰🥰🥰

Wonderful Course with plenty of information, but I think the way of explanation should be better

I prefer more exercises and cases. Some content is about a deprecated content (Azure Notebooks)

very interesting, but I don't know the school that is organising the training.

It was really amazing and meaningful thanyou for this course

Good course to learn and good examples, practice provided

Great Course to give brief understanding and knowledge .