Artificial Intelligence for Business + LLM Prize [2026] (Udemy.com)

I thought it was a great course. Although the Multi Armed Bandit section did alarm me a little bit as I've seen companies try to do exactly that algorithm. The problem is it neglects churn. Various "maximize" strategies can cause catastrophic failures in outcome - Like strategy 7 causes 15% to sign up for the premium plan, but also causes a 30% customer attrition makes it an unacceptable strategy under any circumstance. This is a very real business concern, and is not mentioned.

Super informative, clear, engaging. Really interesting content that I hope to be able to apply one day in my work and further studies. I'll admit I don't know how I'll apply this in the future as I'm not a coder and wish there were more no-code alternatives to helping business grow and succeed at the time of this course, but it's a great course nonetheless especially if you're interested in the mathematical, logical and coding side of things.

I really like it since the course not only gave me the code but also the underlying theory. Which is absolutely important. If you are looking for a lot of codes, I suggest another course that will give you exactly that. But believe me, in data science, without a proper understanding of the theory at one point you will be lost somewhere.

Good topic and structure, and a lot is good. The Annex is VERY good. But the Python code in the coding sections is not pretty, the talkover becomes pretty obnoxious, and there are too many places where Hadelin spend a long time on trivial things while at the same time leaving out valuable conclusions and reflections.

It is a really good course for learning about AI and Neural networks and how it can be used in a business to optimize certain processes, maximize revenue and sometimes save money. The course was well layed out and well explained even though some concepts might take a few times to repeat before you'll understand. The examples are chosen well and easy to understand, while still being relevant to real world situations. My only issue was that it wasn't quite clearly explained: what the difference between the AI's are in the sense of when to use one over the other and what are the pros and cons. The example projects were very nice and easy to implement. However, it would be nice to see how the AI is implemented in another existing project. I would however still highly recommend this course.

Its years ago since went through an udemy course about AI. since then i have passionately been playing with AI. i decided to go through this and its incredible how much more i am able to understand everything throughout the progression of this course as its going though things i am aware about that day to day but with case studies that i havent tried to deal with specifically before. the case study about maintaining server temperatures with AI due to traffic and capicity is just great! glad i spend some time on this as the case studies is inspiration upon what one could try and get some hand-on experience with. its allso easy to gain understanding of things from this course as it goes through techniques that is being teached from you and your fellow teachers for these courses. that is interresting becouse that though there are techniques and methods that can be gained knowledge upon from your other courses then they are nevertheless fitted to the specific course. in this course it is about saving resources for as long as i have seen till now. in the course i went through years ago where it was same techniques a great deal of the way then that course was teaching these techniques in relation to world models. thats a great aspect of these courses that one can go through one course and then relate things that you will learn in another with other courses from your team of teachers. i would say that made difference to me at least as its easier to understand things when one can connect it and understand it through an othe course analogie.

This is a good continuation of the Artificial Intelligence A-Z course. You get another chance to implement the principles taught about Q-Learning and Deep Q-Learning. The module on Thompson sampling appears to be taken from the Machine Learning A-Z course, which means it may not be self-contained (i.e., there could be missing information and context only entailed in the ML course), but you'll get enough of the idea. Either way, what's taught in this course is really useful information.

Overall a good course, although I wouldn't say this is for someone who is starting out in AI. My recommendation; complete a few basic courses on python and neural networks before taking this course. The only other issue I found was the fact that although the course content is thorough and it covers training and evaluating AI implementations, it lacks in describing how someone might directly integrate AI with existing or new codebases from a real-world perspective.

I started this course merely by curiosity, as I have right now a lot of free time on my hands. By the middle of the course, I'm seriously considering turning my career in the AI direction. The explanations are amazing and straightforward. I started the course with no previous knowledge on Python, only some VBA, but this course incited me to get more details on the "self", "__int__", and other basic notions on Python. Parallel to this course, I got excited to read books on artificial intelligence and search for other tutorials, courses and videos on linear algebra, topography, neural network, and I hope I will be able to understand with ease in the future the more advanced articles recommended in this course, as well as perceive new AI applications around me!

Great course! I really enjoyed it and learned several tricks, both for the AI techniques and python. Very good explanation and intuition. I hope to be able to implement some of the techniques learned in my professional area and in some of my hobbies as well. I recommend the course both to intermediate and expert people with interest in AI.

The hard theories were explained really well,

good small portion, detailed explanation, easy to follow