Please be prepared to retry multiple times. For the hands-on exercises the instructions seems to have issues. I had to try multiple times, correct the instructions and then try on the Azure Machine learning studio. I have given feedback for each of the page. Hope someone is reviewing and correcting them.

It is so amazing that so many errors are in the instructions of this course. I ended up finding the github repository and taking the working code from there. Please do this course only if you have the patience to be put up with an irresponsible course creator who didn't really proof read anything!! No testing also done!!

In any cases it may be good that we have some challenges and need to retry and rectify and try these exercises. Azure Machine learning is definitely a great step towards making ML solutions somewhat easy to at least prototype and test. Haven't tried in production to comment.

Very outdated. The interface in Azure ML Studio has changed and some steps will be very cryptic if you're not familiar with the AML interface.

Skip Week 3 Exercise 7. Skip Week 4 Exercise 6. There are serious bugs in some of the modules. In Week 3 Exercise 7, the code contains invalid nonprinting character, 0xa0. You'll spend a while trying to figure out how to get rid of them. And.... even then... the code doesn't work. You'll see "Input Data Error. Input data are inconsistent with schema." Just don't bother with it. In Week 3 Exercise 6, you get the same error as in W3E7: "Input Data Error. Input data are inconsistent with schema." Just skip it. I complained about this in the feedback and opened support cases. And guess what the tech said? "It's not my job to assure that the exercises work. Please contact the instructor. What? Now they want me to do *their* job? Coursera support is a joke. Also, some of the modules *incorrectly* reference data sets, REST endpoints, etc. Sloppy writing. If you chug through it, you *will* learn something, albeit with a generous dose of frustration. On the other hand, Azure AI/ML coverage is very weak with other providers. ACloudGuru -- just don't even go there. It's great for AWS content, and sucks for everything else, especially the (terrible) courses they bought from Linux Academy. Cloud Academy -- also rather weak on Azure ML/AI; and expensive.

1. A lot of copy-n-pasted parts between each of 4 weeks 2. Errors in python code parts 3. Errors in data model that you are requested to copy-and-paste and use 4. Outdated Azure UI navigation 5. Low res screenshots with unreadable text 6. A lot of “water” in the videos 7. “Azure Machine Learning” will be repeated hundreds of times, I wonder if the author would be forced to type it instead of copy-n-pasting every time he wants to use it --- would he reconsider to use an abbreviation instead???

The exercises is not updated as the current version of Azure.

Many sections of the course provide the bare minimum instruction for the hands on exercise. And the instructions have not been updated to reflect the new UI changes in the Azure Machine Learning Studio. The instructors haven't even responded to questions to the discussion section. Students are left of their own. I am very disappointed.

The accuracy and correctness of course materials is crucial for effective learning. With the constantly changing variables and information in various fields of study, it is essential for course materials to be updated and reviewed regularly. However, some course materials may contain outdated information or incorrect details, which can lead to confusion and hinder the learning process.

One of the common issues that arise from incorrect course materials is the changing of variables' names. When variable names are changed, it can be confusing for students to understand and apply the correct concepts. This issue can lead to mistakes in assignments and exams, which can ultimately impact students' grades and overall academic performance.

It is essential for educators to ensure that their course materials are updated and accurate, especially when it comes to variables' names. Inaccurate information can create confusion and cause students to waste time trying to understand the material, resulting in a negative impact on their overall learning experience.

The course structure is great and is laid out with clear step-by-step instructions. However, there are a few mistakes in the write-up/code examples that needs to be amended. Also, this course can be improved by providing detailed information on model evaluation metrics and how they affect the performance overall.

It was a bit difficult to follow only the instructions during the practice. I would like to add some more related screen shots. thank you.

Good Explanations and engaging labs

excellent course. it will better than if student don't have to register in Azure portal as GDP that GDP don't need to use credit card to done their lab.

Great Course , unfortunately we had a problem with the 2nd week data not available for training

beginner friendly but have to make sure that you posses fundamental statistical knowledge

Fantastic hands on experience with the right mix of repetition and new content

I thoroughly enjoyed understanding the basic AI concepts

awesome content and assignments. appreciate the efforts

That was really interesting and very useful!!

Excellent & very well structured course !!!

A comperhensive explaination on Azure ML.

Very knowledgeable and well-structured.

very simple to understand and memorize

I like it is online

Good starting point

Good leaning

good course

Excellent