Artificial Intelligence 2.0: AI, Python, Deep RL + LLM Prize (Udemy.com)

Personally, I can say that the course was very beneficial for me. Hadelin is a very likeable person who can explain things simply and puts into the content a great passion that he obviously has for education and the field of artificial intelligence. The course was well structured, the content was nicely explained and there were additional materials (ANNEXES) attached that one could learn from. What I liked a lot, however, was that Hadelin always gave the option here before each assignment along with a hint for performing the assignment first by myself. The content itself was very interesting and was given in an understandable way. I might have just appreciated if the presentation that Hadelin used was available in an appendix for possible viewing. Some parts (especially the formulas) were harder to read on the video. Additionally, it meant that I had to take pictures of some of the slides on my phone in order to view them in an effort to solve the assignment. Anyway, these are just small things and I can really recommend the course highly!

Until now it is an easy topic, but it is hard to understand listening the speaker as he is just showing formulas, it would be much better to explain the topic via concrete example. I had to find a video on youtube to fully understand Q, policy rewared etc. I don't like when a speaker tries to explain sg through formulas

I highly appreciate the tutor's efforts. His explanation was on point, easy to understand. The course is designed in a way that it is extremely interesting, very informative yet simple to comprehend. Loved the course and the tutor's teaching style. I had an amazing experience learning AI through this course. Thanks!

It is a great course with a very passionate teacher. This very complex task is divided in many simple steps, each with an in-depth explanation. But it's worth mentioning that the main focus of the course is the implementation of the TD3 algorithm, and not a general view of Deep Reinforcement Learning, so Q-Learning and Deep Q-Learning are only explained in theory.

This course was amazing, it truly delivered what it promised. I love Hadelin's teaching method: the lessons are very clear, he uses colorful pictures and graphs to explain difficult concepts and he isn't afraid of repeating the most important parts, making it very easy to follow along and understand what's going on. Both theory and code were very well done and even the Annexes were an enjoyable refresher of more basic notions. Leaving the challenge of coding for yourself the following step before showing how it's done, with a couple of hints here and there, really helped me in not just listening passively but trying by myself and doing, making it so that I now understand how this code works much more intimately. I can't praise this course enough as it's truly helped me understand and implement one of my goals in AI, an algorithm able to walk the Ant. 10/10, I'll definitely get more courses from Hadelin.

Sejauh ini saya mengerti dengan yg diterangkan. Tapi saya lbh banyak belajar di annex saat di awal2 karena saya belum mengambil course AI A-Z dan DL A-Z yg mana harus saya ambil krn saya yakin itu akan lbh memperkuat dasar dari AI. Overall, I understand what the instructor taught. Though I spent more time on the annex because I haven't taken the AI A-Z and DL A-Z courses which I should by the way to reinforce my basic of the AI.

The Treasure Trove of Reinforcement Learnings..This is the bomb.. Take it or leave it.... Kirill is the Evangelist for millions of students. He is the Thought leader out there to make AI just another skill in every aspirant's skill book. Wow !! Simply amazed .. It was my long time efforts for about 2 years in a row to master AI nowafter being though Kirills courses I believe I am about to achieve it.. Thank you Kirill

Good Experience! I like that we are diving into a state of the art model. It helps that I have quite a bit of background from Phil Tabor's classes and my own expertise. If I didn't I may not be able to make as much sense.

I learnt new Deep Q learning concepts in Deep Reinforcement Learning 2.0. Hadelin takes on the complex and breaks it down to pieces. Bravo!! That half humanoid AI trains and learns very well. Its exciting to see how TD3 works. Kirill explains the concepts very well and makes it easy. Also I enjoyed Kirill's references to many research papers. Merci bien. Thank You :) Ajit

I really appreciated the course. I liked most your clear and very tangible explanations of the theory and code. I have 2 ideas for you to think about: 1.: The coding part was quite difficult as it was the first time for me working with Pytorch. Instead of writing the entire code as exercise, you could think about to provide the code and make the learners to fill gaps in the code. 2.: I mounted Google Drive to prevent data loss when CoLab runs in timeout. Maybe this could be a hint for other learners.