Artificial Intelligence

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10/10 stars
based on  56 reviews
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Start Date TBA

Course Details

Cost

FREE

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  • TBA

Course Provider

edX online courses
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be tau...
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

Provider Subject Specialization
Sciences & Technology
Business & Management
22640 reviews

Course Description

Artificial intelligence is already all around you, from web search to video games. AI methods plan your driving directions, filter your spam, and focus your cameras on faces. AI lets you guide your phone with your voice and read foreign newspapers in English. Beyond today's applications, AI is at the core of many new technologies that will shape our future. From self-driving cars to household robots, advancements in AI help transform science fiction into real systems.

The course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. CS188.1x focuses on Behavior from Computation and will cover the following areas:

  • Statistical and decision–theoretic modeling paradigm. By the end of this course, you will have built autonomous agents that efficiently make decisions in stochastic and in adversarial settings.
  • Reasoning and Learning. With this additional machinery your agents will be ...

Artificial intelligence is already all around you, from web search to video games. AI methods plan your driving directions, filter your spam, and focus your cameras on faces. AI lets you guide your phone with your voice and read foreign newspapers in English. Beyond today's applications, AI is at the core of many new technologies that will shape our future. From self-driving cars to household robots, advancements in AI help transform science fiction into real systems.

The course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. CS188.1x focuses on Behavior from Computation and will cover the following areas:

  • Statistical and decision–theoretic modeling paradigm. By the end of this course, you will have built autonomous agents that efficiently make decisions in stochastic and in adversarial settings.
  • Reasoning and Learning. With this additional machinery your agents will be able to draw inferences in uncertain environments and optimize actions for arbitrary reward structures. Your machine learning algorithms will classify handwritten digits and photographs.
  • Applications for a wide variety of artificial intelligence problems. The techniques you learn in CS188x will serve as the foundation for further study in any application area you choose to pursue.

Join us today to learn more about how AI affects your life, and where it is headed in the future.

Reviews 10/10 stars
56 Reviews for Artificial Intelligence

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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Arka Rai Choudhuri profile image
Arka Rai Choudhuri profile image

Arka Rai Choudhuri

10/10 starsCompleted
4 years, 2 months ago
It was by far one of the most comprehensive online courses I've taken till date. To top it all off, programming assignments were really incredible.
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6/10 starsTaking Now
  • 2 reviews
  • 0 completed
4 years, 3 months ago
i need to register in a course that will help to make a spam filter with python programming language will i learn this here please reply to me here or send me email about that issue ahay.ok86@yahoo.com
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Greg Hamel profile image
Greg Hamel profile image
10/10 starsCompleted
  • 116 reviews
  • 107 completed
4 years, 5 months ago
CS188.1x: Artificial Intelligence is an introductory AI course offered by UC Berkeley through the edX MOOC platform. CS188.1x covers roughly the first half of the material in the full on-campus AI course in the span of 12 weeks. Major course topics include search algorithms and heuristics, constraint satisfaction problems, Markov decision processes and reinforcement learning. The course assumes you have taken a first course in algorithms, are familiar with basic data structures, have basic python programming skills and are comfortable with mathematical notation. There isn't any particularly hairy math, but there are a lot of variables and symbols flying around at times. Grading is based on weekly homework assignments that allow unlimited attempts, 3 programming projects and a final exam that allows 1 or 2 attempts per question. CS188.1x is a direct adaptation of the on-campus AI course. The lecture videos are edited versions of le... CS188.1x: Artificial Intelligence is an introductory AI course offered by UC Berkeley through the edX MOOC platform. CS188.1x covers roughly the first half of the material in the full on-campus AI course in the span of 12 weeks. Major course topics include search algorithms and heuristics, constraint satisfaction problems, Markov decision processes and reinforcement learning. The course assumes you have taken a first course in algorithms, are familiar with basic data structures, have basic python programming skills and are comfortable with mathematical notation. There isn't any particularly hairy math, but there are a lot of variables and symbols flying around at times. Grading is based on weekly homework assignments that allow unlimited attempts, 3 programming projects and a final exam that allows 1 or 2 attempts per question. CS188.1x is a direct adaptation of the on-campus AI course. The lecture videos are edited versions of lectures delivered on-campus but instead of seeing the professor, we mostly see the presentation slides themselves with a voice-over from the professor. Direct adaptations of on-campus courses don't always work so well with MOOCs, but this course pulls it off perfectly. The professor speaks clearly and explains topics well. The lecture slides are extremely well-made, with clean text and even a bunch of cute robot and pacman art to go along with the content. The videos are cut down into digestible 5 to 15 minute segments and there are practice comprehension questions following most of the videos that allow you to take a second to reflect and digest the content. Many courses that have great presentation fall flat when it comes to assignments. This is not one of those courses. The three pacman-themed programming projects are among the best programming assignments I've encountered in any online course. Each project consists of several parts that involve implementing AI algorithms you study in class in the context of a pacman game. The course provides you with all the code you need to run the game, a variety of convenience functions and skeleton code that you have to fill in with algorithms that accomplish the prescribed tasks. The assignments can be frustrating at times, but seeing your code in action with a little pacman racing around gobbling food pellets and ghosts is surprisingly gratifying. It also helps you gain a better understanding of how the algorithms work. Berkeley CS188.1x: Artificial Intelligence is one of the best MOOCs on the web. It is so good that many students on the forums were eager to take part 2. Unfortunately the professors haven't gotten around to adapting the second half of the full AI course into a MOOC (they did express the desire to do so in the future) but they will give you access to an archived version of the full course upon request. I give Berkeley CS188.1x 5 out of 5 stars: Excellent.
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Student

8/10 starsTaking Now
4 years, 5 months ago
I think this course is about rob more intellgence than before,itself can do many right thing without people command,maybe itself studying to better help people.
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Student

3/10 starsCompleted
4 years, 8 months ago
The content is great BUT DON'T TAKE THIS, it is only half of an lecture, you will probably be disappointing, when somewhere in the middle it ends. The FULL COURSE IS AVAILABLE under the title "CS188x_1 Artificial Intelligence"!
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student

10/10 starsCompleted
4 years, 9 months ago
One of the best MOOC I have been a part of. The professors as well as the TAs were great last time. The content was thorough as well as fun. Very engaging class. A lot of effort might be needed to get the max marks in programming assignments.
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student

10/10 starsCompleted
4 years, 9 months ago
It's the best MOOC course I've ever got. Course have great balances (practice/theory, complexity/entertaining, gravity/humor). The main advantage is clear and live lecture videos. RECOMMENDED! Looking forward for Part II.
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student

10/10 starsCompleted
4 years, 10 months ago
It was my first MOOC 2 years ago, and till now after 15 other MOOC it's still my favorite: clear and motivating presentation, hard assignements but not too, a good progressive lecture, an very present/active staff, ...
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Marc Romeu Bel profile image
Marc Romeu Bel profile image
10/10 starsCompleted
  • 9 reviews
  • 5 completed
5 years, 1 month ago
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José Luis Fernández Barros profile image
José Luis Fernández Barros profile image
10/10 starsCompleted
  • 8 reviews
  • 8 completed
5 years, 4 months ago
Very interesting course, you will learn a lot very fast. (Sometimes too fast: be prepared to code till late to accomplish due dates.) Pacman environment, inside you have to program homeworks algorithms, is simply a work of art. Excellent lectures. In the cons: you will see only some pseudocode lines at lectures, but you have to type complete OOP Python code to solve the homeworks. Code solutions are forbidden in discussion forum: if you can't solve the exercise, probably you will feel alone... Final exam is just test questions, your programming skills could not score 1 point. Still waiting for the second part of the course... 14 months after completion of CS188.1x
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student

10/10 starsCompleted
5 years, 6 months ago
Nothing short of awesome. This is a top-notch class that teaches you a lot of important concepts in optimization and AI, while making you feel like you're on a wonderful adventure of discovery and fun. Using Pacman in teaching material was a brilliant idea, and execution is just perfect. The lectures don't disappoint either. Beware, though, this class is rather demanding, and you should have solid CS fundamentals before taking it.
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Mavridis Georg profile image
Mavridis Georg profile image
6/10 starsCompleted
  • 3 reviews
  • 3 completed
5 years, 5 months ago
Actually i liked the course. The Homeworks and the Projects were fun, the material was interesting. But the course stoped at a point where i felt there was so much missing. Its was like reading a book and stopping after the third chapter. So I regreted taking the course after all.
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Eugene Hermann profile image
Eugene Hermann profile image
10/10 starsCompleted
  • 3 reviews
  • 2 completed
5 years, 7 months ago
Real university lectures preformed in edX format. Very good, very relevant introductory course. Just great lab set. This is the best course you can get to start learn AI. But it could be too easy if you already familiar with basic technics and dynamic programing algorithms, and you're looking for something more challenging.
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Student

10/10 starsCompleted
5 years, 11 months ago
I absolutely loved the class. I took it a year ago so it is hard to remember details, but the highlights are: \- It's amazing how well Dan Klein teaches. He can't make the concepts any more clear. \- The illustrator is amazing, making the slides fun. I must say that I came to the class with an MSEE from 15 years ago but no prior experience in the field, and I found the class hard, but managed to get an A.
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Student

10/10 starsCompleted
6 years, 1 month ago
Excellent Course. Requires a lot of Python programming. It was tough learning Python and AI at the same time so I'd suggest do a separate Python course first and then you'll love this course.
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Igor Sokolov profile image
Igor Sokolov profile image
10/10 starsCompleted
  • 5 reviews
  • 5 completed
6 years, 1 month ago
Really great AI course - both in terms of material and tutors. My only problem was, that I did'n have any background in Python, so it was a bit hard to follow all the programming assignments from zero :o)
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Andrey Nikitin profile image
Andrey Nikitin profile image
10/10 starsCompleted
  • 3 reviews
  • 3 completed
6 years, 1 month ago
Pros: The course is organized very well, I mean there are well-structured lectures, pdf's and practice. Python practice. You do not need to be a professional programmer to participate the course, you need just to implement AI algorithms in python, which is a easy language. The course does not need advanced prerequisites. On the other hand a lot of important concepts and approaches described in the course. Cons: It is not so advanced as I expected. Conclusion: I recommend this course to the most who interested in AI.
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ayush profile image
ayush profile image
10/10 starsCompleted
  • 2 reviews
  • 2 completed
6 years, 2 months ago
Great course, personally i loved every bit of this course. For me it was a very challenging course but i learned a lot. It is a highly recommended course. Projects in the course are fun. A great introduction to A.I.
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Jeff Winchell profile image
Jeff Winchell profile image
10/10 starsCompleted
  • 91 reviews
  • 66 completed
4 years, 9 months ago
I wish I had more time for this class. The professor was engaging, the EDX platform is superb, and the homework assignments were very fun. I am taking this soon (after a 2 year wait for iteration 2) so I can really take advantage of the class. Stay tuned for updates.
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Yerkebulan Tulibergenov profile image
Yerkebulan Tulibergenov profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
6 years, 4 months ago
This course was the most interesting of the ones I took online on EDX and Coursera. It is very engaging and challenging. You need to have good programming skills and invest considerable amount of time to complete it but it is worth it. It was more intersting than Machine Learning course provided by Coursera (Andrew Ng). The only major disappointment was that it is only a half of the actual course taught in the university. I am anxiously waiting for a second part of the course to be released. In short, if you confident in your programming skills and interested in AI, this is definitely for you. Good luck.
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Stan Mense profile image
Stan Mense profile image
10/10 starsCompleted
  • 4 reviews
  • 4 completed
6 years, 5 months ago
I had moderate python programming experience before this class. Prof. Klien combines enthusiasm, well-built python projects, and superb illustrations. Most of my time was spent on the projects, which was freeing from the multiple choice problems. I found the material sometimes went too theoretical lost sight of the practical applications. Although Prof. Klien's students success with AI starcraft programs shows that he is also a practitioner.
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Kenrick Anggara profile image
Kenrick Anggara profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
6 years, 5 months ago
I have completed this course after dropping it once (I dropped 2012 Fall session). I followed the course well. Before this, I have no experience in Python at all, but the small Python tutorial and the projects make me know Python well. I like the projects here, when you haven't done it, it seems like impossible, every task solved will make you very very happy. At last I completed all of the projects perfectly. The scoring system is kind of using luck as there is also MCQs, but doing the homework & project well will guarantee you getting a certificate.
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Steve Haigh profile image
Steve Haigh profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
6 years, 6 months ago
Superb course. Met and exceeded expectations, very good intro to the field. Course materials, particularly the homework project code was excellent.
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iAMSAM profile image
iAMSAM profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
6 years, 10 months ago
Dan Klein ranks among the best professors I've listened to. I give high ranks to people such as MIT Biology Professor Eric Lander (via MIT Open Courseware). Prof Klein brings incredible enthusiasm, energy and clarity to difficult concepts. The concepts such as Markov Decision Processes, BDS, DFS and more are applicable to many disciplines. There is a book that is suggested but not required. Dan Klein's lectures were much clearer and easier to follow than the text. The problems are hard, but there is much to learn by attempting them. The video quality is good. The pdf's are downloadable. I prefer the interface of EdX over Coursera. But, I would like to see an entire lecture downloadable in one fell swoop instead of 7-10 small snippets. It would be nice to take into account an interface that would be workable on an iPad. And to bring intelligence and probability to course evaluations we see here that every review of more than 35 is at ... Dan Klein ranks among the best professors I've listened to. I give high ranks to people such as MIT Biology Professor Eric Lander (via MIT Open Courseware). Prof Klein brings incredible enthusiasm, energy and clarity to difficult concepts. The concepts such as Markov Decision Processes, BDS, DFS and more are applicable to many disciplines. There is a book that is suggested but not required. Dan Klein's lectures were much clearer and easier to follow than the text. The problems are hard, but there is much to learn by attempting them. The video quality is good. The pdf's are downloadable. I prefer the interface of EdX over Coursera. But, I would like to see an entire lecture downloadable in one fell swoop instead of 7-10 small snippets. It would be nice to take into account an interface that would be workable on an iPad. And to bring intelligence and probability to course evaluations we see here that every review of more than 35 is at or near 5/5 stars, save one. That lets you know that even something terrific is not likely to garner 100/100 points. All minds are not likely to think alike and some are far outliers.
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Matt Arrington profile image
Matt Arrington profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
6 years, 8 months ago
This was the first online course I ever took of any kind. This course seemed interesting from the syllabus so I decided to try it for a week or 2. I got hooked, pretty fast and just *had* to finish. The lectures were great. The front end for the homework, tests and projects were better than expected. You need a solid grasp of data structures at a minimum for this course. It can be challenging. I'm looking forward to the follow up class.
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Michal profile image
Michal profile image
10/10 starsCompleted
  • 6 reviews
  • 5 completed
6 years, 10 months ago
Great lectures - well prepared and Dan Klein is a good speaker that keeps your total attention. Assignments that made you really understand the topic. Not too hard, but challenging when one tries to get the full score. Discussion forums worked fine, the community and staff were helpful. I really liked the approach where you can submit quizes and assignments as many times you want, until you're satisfied with it. Only thing I missed was some statistic info about the course, how many people participated, how many did complete, etc. No big deal, just my curiosity
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Mayank Singh profile image
Mayank Singh profile image
10/10 starsCompleted
  • 3 reviews
  • 3 completed
6 years, 10 months ago
One of the best courses I took on AI. The Professor was pretty awesome with this slides. The course illustrator is to be especially thanked for that. I really loved the projects. Making your pacman learn by playing more games is a brilliant idea but tough to implement. This course made you do just that. I would be eagerly waiting for part 2. I would suggest knowing a bit of python before taking up the course.
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Chad Colgur profile image
Chad Colgur profile image
8/10 starsCompleted
  • 7 reviews
  • 7 completed
6 years, 11 months ago
Prof. Klein is an engaging lecturer. I really enjoyed his enthusiasm for the material. I expected an environment similar to the other more recent MOOCs but edX is quite different and in a good way. The discussions were organized lecture by lecture, problem by problem and that seemed to focus the discussions. It certainly helped me to find the discussion(s) relevant to my questions. I've taken several AI classes: ML from Prof Ng, Robotic Car with Prof. Thrun, and Intro. to AI with Prof. Thrun and Prof. Norvig. Some of the material was familiar but the focus on adversarial scenarios in this course was fun. The others kind of survey the field. This one did survey but with an eye on how to program a game. The game was the running example and it was fun to think of the problems that way. You should probably have seen Python before taking this course. You really don't need any background in probability to grasp reasoning under uncertainty.... Prof. Klein is an engaging lecturer. I really enjoyed his enthusiasm for the material. I expected an environment similar to the other more recent MOOCs but edX is quite different and in a good way. The discussions were organized lecture by lecture, problem by problem and that seemed to focus the discussions. It certainly helped me to find the discussion(s) relevant to my questions. I've taken several AI classes: ML from Prof Ng, Robotic Car with Prof. Thrun, and Intro. to AI with Prof. Thrun and Prof. Norvig. Some of the material was familiar but the focus on adversarial scenarios in this course was fun. The others kind of survey the field. This one did survey but with an eye on how to program a game. The game was the running example and it was fun to think of the problems that way. You should probably have seen Python before taking this course. You really don't need any background in probability to grasp reasoning under uncertainty. High-school algebra and a bit of programming experience will take you a long way in this course.
Was this review helpful? Yes7
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Afref Fetter profile image
Afref Fetter profile image
10/10 starsCompleted
  • 12 reviews
  • 12 completed
6 years, 11 months ago
Prior experience in the field: The AI (robotics) course on Udacity. Like: The course material was presented in an easy to absorb manner. It was engaging and you felt like learning more. The robot cartoons. They helped me stay focused - and interested! Professors' enthusiasm and knowledge. Explained stuff in easy terms. Questions - tested concepts well more often than not. Dislike: Forums weren't very interactive. Multiple choice questions can get irritating when you're not very clear with certain concepts. The projects can be very frustrating to tackle at times, but the forums usually have helpful pointers. It would be good to try Udacity's course before this one, just because it would make this a little easier. The course had a lot more work than I expected, and the work was all much more helpful in internalizing teh concepts. This course is the best AI course on the web right now.
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alestar profile image
alestar profile image
8/10 starsCompleted
  • 1 review
  • 1 completed
6 years, 11 months ago
I´m not very experience in this type of course, but this is by far the most well focus and efficient course for e-learning that I ever take. For starters, it has the most incredible graphic designer in the presentations to make it interesting, semantically rich and by the way super fun. You can actually learn such complicated things with only a math background and a little POO experience (although that last one is not strictly necessary) and beginning to create your own intelligence agents to do hardcore stuff. The professors are super niece and devoted. The TA´s member super worried about correct answers, spoilers, trolls, and in general the dynamic of the forum to go in the right way. The community of students has contributed as well in such a productive way. It´s seem to me that this course has its own soul and you can feel everyone’s enthusiasms. You have all the resources at your feet. Even for me who has and a 4Kb/s dial up con... I´m not very experience in this type of course, but this is by far the most well focus and efficient course for e-learning that I ever take. For starters, it has the most incredible graphic designer in the presentations to make it interesting, semantically rich and by the way super fun. You can actually learn such complicated things with only a math background and a little POO experience (although that last one is not strictly necessary) and beginning to create your own intelligence agents to do hardcore stuff. The professors are super niece and devoted. The TA´s member super worried about correct answers, spoilers, trolls, and in general the dynamic of the forum to go in the right way. The community of students has contributed as well in such a productive way. It´s seem to me that this course has its own soul and you can feel everyone’s enthusiasms. You have all the resources at your feet. Even for me who has and a 4Kb/s dial up connection and live in CUBA (that is known for the internet difficulties), I was able to completed thanks to the EDX platforms and de Wiki from CS188.1x.
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