Why do even the basic trainings fall short?

Question

Why do even the basic trainings fall short? I couldn't be more frustrated with the Azure AI ML platform. After a painful week of trying to replicate a guideline written by Microsoft engineers, I finally concluded that I might be lacking some fundamental skills for the platform. So, I decided to start from the basics and complete one of the official training modules: Creating a Datastore.

Of course, when I attempted to execute the provided code for creating a datastore, I hit a solid wall. The guidelines fail to provide clear steps for fundamental aspects, such as locating account keys or understanding how blob storage is organized. Running the code results in completely unexpected errors, such as MLClient.create_or_update() missing 1 required positional argument: 'entity'. However, after reviewing the documentation, I found that such an argument doesn’t even exist!

Hey Microsoft, if you're going to publish a training module, consider testing its effectiveness: give it to someone unfamiliar with it and have them follow it to completion without any external help. If they succeed, the training is ready for the public; if not, refine it until they can!"

This question is related to the following Learning Module

Answer 1

Hi nikola,

We understand that learning new concepts can sometimes be challenging, and we truly appreciate your patience. To enhance your learning experience, we have shared your concerns with the content author and requested a thorough review and refinement of the material. We are pleased to inform you that the author has confirmed the necessary updates have been made, and these improvements will be reflected soon.

Please reach out to us if you have any other queries.

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