Harvard CS50’s Artificial Intelligence with Python – Full University Course

This course from Harvard University explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like large language models, game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs.

This course has been updated for 2023 to include an in-depth section on large language models.

⭐️ Course Contents ⭐️
⌨️ (00:00:00) Introuction
⌨️ (00:02:26) Search
⌨️ (01:51:55) Knowledge
⌨️ (03:39:39) Uncertainty
⌨️ (05:34:08) Optimization
⌨️ (07:18:52) Learning
⌨️ (09:04:41) Neural Networks
⌨️ (10:46:00) Language

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan

--

[edwardb]

Professor Yu is in his mid-twenties and teaches one of the most subscribed courses at Harvard. Amazing!

[hamidhussain]

Grateful to the Harvard University for providing this course. Thank you brian yu and all of them who are behind to provide this course.

[rjuela]

Listing some subchapters for future reference
01:07:41 - A* Algorithm - "heuristc search" for a singleagent
01:14:27 Adversarial Search (Tic-Tac-Toe)
01:39:07 Optimization - Alpha-Beta Prunning
01:46:53 Chess -Depth Limited Minimax
02:14:05 Inference Algoritms -Model Checking
02:32:42 Knowledge Ingeneering - Clue
02:43:04 Logic Puzzles - Harry Potter
02:56:16 Inference Rules
03:22:26 Inference by Resolution
03:39:39 Uncertainty - Probability theory
03:49:16 Conditional Probability
04:05:58 Bayes Rule
04:13:40 Joint Probability

[agzuy]

This is amazing! Both the course and the teacher. Thank you very much for sharing this.

[plinketharry]

dude i cannot thank you enough, what a time to be alive :)

[Daniel-Six]

Brian is incredibly organized and polished. If I had professors this good back when I was in school for CS it would have been a vastly more productive experience.

[qfrvchd]

Thanks for putting together this course in one video.. Thank you so much for all of the free courses you upload.

[imad]

There are many unique aspects of those videos, but what is really nice is the depth of explaining such concepts. Even in a university, they usually cannot go that deep mostly due to time constraints.

[hollowskull]

What I love about these Harvard CS50 videos is the speed they talk and explain things. It's captivating.

[illesbalog]

Thank you so much for all of the free courses you upload

[joch]

I am in my 70's. Last time I get excited about programming was Lotus 123 macro in the 1980s. Here we go again.

[ShadowMind]

When i did my Masters in mathematics, only one of the professors at my school had solid understanding of these topics. I learned as much as i could, but he was overwhelmed with students. I am grateful for these videos!

[MrSoikafy]

It's the best thing I have ever seen on YouTube. Great job, thank you for every minute of this course.

[bismmaa]

Thank you so much! The only platform who made me take interest in programming after spending 3 years in my 4 year Bachelors degree of CS. CAN'T THANK YOU ENOUGH!🙏🏼

[FakitoMusic]

I love the way he explains everything. Thanks for the course

[education.online_frevryone]

Almost two hours in and it's so good; I understand the concepts really well. Thank you, Mr. Brian. I am really enjoying the course!

[nadirnoorzai]

Thanks for this wonderful content. Professor Brian has done an incredibly well done job. I learned much and Thank all the persons involved in producing these lectures. Much grateful to Harvard University for sharing this. Professor Brian, you are a GREAT Communicator!

[djcardwellai]

I find it fascinating how people are shocked when I tell them that I majored in philosophy and work in AI. Usually, they respond with, "Wow, completely unrelated fields." Little do they know that propositional logic is at the core of both philosophy and AI.

[McDonaldIbekwe]

Thanks for putting together this course in one video.

[johnmo]

Thank you so much. I don't recall ever enjoying a lecture series as much as this. Great work! I hope to see a follow up in a few years.