I wouldn't pay for this course. It uses the Scrimba system(which is actually really good), but not all functions work on Coursera (at the time of writing). I could have just watched a youtube video. I had to set it all up in my own environment anyway. Plus it wasn't mentioned that you need to subscribe to (pay to use) OpenAI to get tokens to use. There are free versions of AI out there that run locally but if you haven't got a clue about anything AI related might be interesting for you.

Important Note: This course uses a proprietary platform for video playback and cannot display subtitles, including English subtitles. Therefore, strong English listening skills are essential. The content is quite fascinating, and I was able to learn the details of the OpenAI API parameters.

no instructions for setting up the projexts/ no help / no reply to questions

This is an awesome course and was well delivered by the instructor. However, the OpenAI API is not free for students to practice along with.

This Course is one best for getting the basic topics right and laying good foundations for your AI Engineering Career. As the pace of the industry is too fast to keep up, be sure to search the web for latest updates and trends.

Пройденные на Coursera курсы оказались очень полезными для моей профессии. Они дали мне знания, которые можно сразу применить на работе.

Great introduction. I have almost no coding experience, so this was a pretty gentle landing into the space, while also informative

I like how interacting the course is. It was pretty easy for me to keep up with coding and instructions.

Recommended. Good for AI fundamentals.

very educated, very good teaching

Very good AI introduction

Thank you for the course.

Great Content

Good

N/A

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good

The content is good, but the provided code for the lesson doesn't work outside of the Scrimba platform, which I've never heard of. I use VS code, and so there is no mentions or instructions on how to use the code in VS code or other IDE. This feels like they are trying to promote a platform that is not common, at the same time, has NO consideration for common industry tools. This cause me a lot of problems copying the code and debugging to make sure I have a working project to follow a long with the lesson.

Most of the material is super helpful and useful, but there were a few hickups which left bad impression: the proposed dev set-up wasn't working (envvars not propagated as advised), and the information such as most recent models, or API syntax were not up-to-date.

The instructors omit the crucial first steps in using Scrimba and Scimba no longer operates the way it is depicted in the tutorial videos.