Hello guys, Artificial Intelligence is one of the growing fields in technology, and many developers are trying to learn Artificial Intelligence to take their careers next level. If you are a Python developer and looking for the best courses to learn Artificial Intelligence with Python, you have come to the right place. In this article, I will share the best courses to learn AI basics and some hands-on courses to practice AI with the Python library. I first came across AI when DeepMind beat Garry Kasparov, one of the finest players of Chess. It was way back in the 1990s, and AI has come a long way. Now, Google is using the same DeepMind to reduce the electric bills of its Data Center by 40%, and Elon Musk is talking about Self driving cars.
If you are a tech geek or a programmer, these are some of the fascinating examples of Artificial Intelligence, and every time I hear an AI story, I really get hooked up. While all these are good and interesting, as a programmer, I am also spending some time on how to code AI?
I am not talking about big problems, but learning how to use AI for your benefit or customize Artificial Intelligence for your own need will go a long way short. I am learning all these by joining the online courses and looking at agents on sites like Open AI gym.
If you don't know, Open AI Gym is a project backed by entrepreneurs like Elon Musk. It provides a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong, Goes, Doom, Breakout, or Pinball.
Since Games are my other interest area, If you don't know, I learned to code by writing games like Tic-Tac-Toe, Breakout, Tetris, and Chess; developing AI to build games seems a great idea to learn Artificial Intelligence.
If you look closely, games provide a perfect environment for building Artificial Intelligence. When you have an algorithm that can beat the game, you know that the same principles can be applied to solve real-world problems. This is precisely the approach many tech giants like Google and Tesla follow.
If you are like me and want to learn AI or Artificial Intelligence in 2025 from scratch with Python and looking for some excellent online courses, you have come to the right place. In this article, I will share some of the best online courses to learn Artificial Intelligence with Python in 2025.
If you are wondering if this is true? Yes, The Machine Learning course on Coursera has been taken by more than 2.6 million students, making it a popular course on Machine learning. You can check numbers by yourself.
When Andrew announced this course on Twitter, I knew this was something I must join; even though I have attended a couple of classes on Artificial Intelligence, I learned a lot from this course.
This course provides a comprehensive overview of what AI is and the meanings of various concepts being talked about in Artificial Intelligence. It helps you build your vocabulary to discuss AI with fellow programmers and other people, both online and offline.
If you are a tech geek or a programmer, these are some of the fascinating examples of Artificial Intelligence, and every time I hear an AI story, I really get hooked up. While all these are good and interesting, as a programmer, I am also spending some time on how to code AI?
I am not talking about big problems, but learning how to use AI for your benefit or customize Artificial Intelligence for your own need will go a long way short. I am learning all these by joining the online courses and looking at agents on sites like Open AI gym.
If you don't know, Open AI Gym is a project backed by entrepreneurs like Elon Musk. It provides a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong, Goes, Doom, Breakout, or Pinball.
Since Games are my other interest area, If you don't know, I learned to code by writing games like Tic-Tac-Toe, Breakout, Tetris, and Chess; developing AI to build games seems a great idea to learn Artificial Intelligence.
If you look closely, games provide a perfect environment for building Artificial Intelligence. When you have an algorithm that can beat the game, you know that the same principles can be applied to solve real-world problems. This is precisely the approach many tech giants like Google and Tesla follow.
If you are like me and want to learn AI or Artificial Intelligence in 2025 from scratch with Python and looking for some excellent online courses, you have come to the right place. In this article, I will share some of the best online courses to learn Artificial Intelligence with Python in 2025.
5 Best Artificial Intelligence or AI Courses for Beginners in 2025
There are many courses to learn Artificial Intelligence on the Internet, but most are boring or too technical, even for programmers with years of experience. Since I always believe in simplicity and exciting stuff, I have only chosen a course with the right mix of theory and practice. These are the courses that not only teach you how to build Artificial Intelligence but also inspire you to learn AI.1. AI for EveryOne by Andrew Ng (Coursera)
This is simply the best AI Course for beginners. Andrew Ng is one person who has inspired millions of developers about Artificial Intelligence and Machine learning through his classic machine learning courses. He is also the founder of Coursera, lead of Google Brain, Chief Scientist of Baidu, and instructor of the most popular Machine Learning course.If you are wondering if this is true? Yes, The Machine Learning course on Coursera has been taken by more than 2.6 million students, making it a popular course on Machine learning. You can check numbers by yourself.
When Andrew announced this course on Twitter, I knew this was something I must join; even though I have attended a couple of classes on Artificial Intelligence, I learned a lot from this course.
This course provides a comprehensive overview of what AI is and the meanings of various concepts being talked about in Artificial Intelligence. It helps you build your vocabulary to discuss AI with fellow programmers and other people, both online and offline.
This course provides a non-technical perspective of AI, but you can also take this course to learn the business aspects of AI. If you want to build an AI strategy for your company or want to work with an AI team, join this course.
If you find Coursera courses useful, I also suggest you join Coursera Plus, a subscription plan from Coursera which gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It costs around $399/year, but it's completely worth your money as you get unlimited certificates.
Having attended his in-depth learning course, I know how engaging it is, which is my primary requirement, given the complexity of the subject. I didn't want to get bogged down by the heavy use of Mathematics and neural networks. Instead, I wanted a course that could inspire me to learn more, and I must say, I wasn't disappointed.
This course will teach you how to combine the power of Data Science, Machine Learning, and Deep Learning to create powerful AI for Real-World applications like creating AI to beat the game in Breakout, pass a level in Doom and create logic for self-driving cars.
The course material is really engaging and exciting, especially if you like games, and if you haven't attended any AI course before, I suggest you join this one. You won't regret it.
Talking about social proof, more than 101,411 students have already enrolled in this course, and it has, on average, 4.4 ratings from 11,452 ratings, which is just phenomenal. Thanks to Kirill and his entire SuperDataScience team for creating this awesome course.
This is another course I have taken on Udemy to learn how to use AI in games. If you don't know, Unity is one of the most popular game engines for developing all kinds of video games, and they are using AI to make games difficult depending upon the player's caliber.
If you are a game designer or developer and your non-player characters lack drive and ambition, you can join this course to learn how to make them more authentic and believable.
In this course, Penny, instructor of the course, reveals the most popular AI techniques used for creating believable character behavior in games using her internationally acclaimed teaching style and knowledge from over 25 years of working with games and graphics; and has written two award-winning books on games AI.
Throughout this course, you will follow hands-on workshops designed to teach you about the fundamental AI techniques used in today's games. If you love video games and want to learn more about how AI is used there, this course is for you.
This is another fantastic course to learn about Artificial Intelligence in Coursera. In this course, you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, and understand AI concepts and terms like machine learning, deep learning, and neural networks.
You will also be exposed to various issues and concerns surrounding AI, such as ethics and bias & jobs, and get advice from experts about learning and starting a career in AI.
You will also demonstrate AI in action with a mini-project and get a certificate after completing the project successfully.
This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone, whether you have a technical background.
If you don't know, Reinforcement Learning is a big part of AI, and this course provides a complete guide to Deep Reinforcement Learning. It helps you to understand reinforcement learning on a technical level. It also helps you to understand the relationship between reinforcement learning and psychology.
Reinforcement learning has recently become famous for doing some fantastic things in AI like In 2016, we saw Google’s AlphaGo beat the world champion in Go. We saw AIs playing video games like Doom and Super Mario.
Much like deep learning, a lot of the theory was discovered in the 70s and 80s, but it hasn’t been until recently that we’ve been able to observe firsthand the amazing possible results.
Talking about social proof, this course has been trusted by more than 28,000 students, and it has, on average, 4.6 ratings from close to 5,000 participants, which is just phenomenal. If you are looking for a purely technical course in AI, this is the one to join.
That's all about some of the best courses to learn Artificial Intelligence or AI with Python in 2025. I have tried to include some non-technical courses on Artificial Intelligence, like AI for Everyone by the great Andrew Ng, to understand the business and general aspects of AI, which is far more important than actually learning how to build AI for a particular domain or problem.
Other Machine Learning and AI Resources for Programmers
Thanks for reading this article so far. If you like these best Artificial Intelligence or AI training courses with Python, please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.
P. S. - If you are serious about moving into AI and Machine Learning field, I also suggest you learn Python, one of the most valuable skills for Machine Learning and AI. If you need resources, check out this list of the best Python courses to kick-start your journey.
If you find Coursera courses useful, I also suggest you join Coursera Plus, a subscription plan from Coursera which gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It costs around $399/year, but it's completely worth your money as you get unlimited certificates.
2. Artificial Intelligence A-Z™: Learn How To Build An AI (Udemy)
This was the first course I took for learning Artificial Intelligence, and it was a brainer because I am a massive fan of instructor Kirill Eremenko and his SuperDataScience team.Having attended his in-depth learning course, I know how engaging it is, which is my primary requirement, given the complexity of the subject. I didn't want to get bogged down by the heavy use of Mathematics and neural networks. Instead, I wanted a course that could inspire me to learn more, and I must say, I wasn't disappointed.
This course will teach you how to combine the power of Data Science, Machine Learning, and Deep Learning to create powerful AI for Real-World applications like creating AI to beat the game in Breakout, pass a level in Doom and create logic for self-driving cars.
The course material is really engaging and exciting, especially if you like games, and if you haven't attended any AI course before, I suggest you join this one. You won't regret it.
Talking about social proof, more than 101,411 students have already enrolled in this course, and it has, on average, 4.4 ratings from 11,452 ratings, which is just phenomenal. Thanks to Kirill and his entire SuperDataScience team for creating this awesome course.
This is another course I have taken on Udemy to learn how to use AI in games. If you don't know, Unity is one of the most popular game engines for developing all kinds of video games, and they are using AI to make games difficult depending upon the player's caliber.
If you are a game designer or developer and your non-player characters lack drive and ambition, you can join this course to learn how to make them more authentic and believable.
In this course, Penny, instructor of the course, reveals the most popular AI techniques used for creating believable character behavior in games using her internationally acclaimed teaching style and knowledge from over 25 years of working with games and graphics; and has written two award-winning books on games AI.
Throughout this course, you will follow hands-on workshops designed to teach you about the fundamental AI techniques used in today's games. If you love video games and want to learn more about how AI is used there, this course is for you.
This is another fantastic course to learn about Artificial Intelligence in Coursera. In this course, you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, and understand AI concepts and terms like machine learning, deep learning, and neural networks.
You will also be exposed to various issues and concerns surrounding AI, such as ethics and bias & jobs, and get advice from experts about learning and starting a career in AI.
You will also demonstrate AI in action with a mini-project and get a certificate after completing the project successfully.
This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone, whether you have a technical background.
If you don't know, Reinforcement Learning is a big part of AI, and this course provides a complete guide to Deep Reinforcement Learning. It helps you to understand reinforcement learning on a technical level. It also helps you to understand the relationship between reinforcement learning and psychology.
Reinforcement learning has recently become famous for doing some fantastic things in AI like In 2016, we saw Google’s AlphaGo beat the world champion in Go. We saw AIs playing video games like Doom and Super Mario.
Much like deep learning, a lot of the theory was discovered in the 70s and 80s, but it hasn’t been until recently that we’ve been able to observe firsthand the amazing possible results.
Talking about social proof, this course has been trusted by more than 28,000 students, and it has, on average, 4.6 ratings from close to 5,000 participants, which is just phenomenal. If you are looking for a purely technical course in AI, this is the one to join.
That's all about some of the best courses to learn Artificial Intelligence or AI with Python in 2025. I have tried to include some non-technical courses on Artificial Intelligence, like AI for Everyone by the great Andrew Ng, to understand the business and general aspects of AI, which is far more important than actually learning how to build AI for a particular domain or problem.
Other Machine Learning and AI Resources for Programmers
- Top 5 Free Courses to Learn Machine Learning
- Top 5 Courses to Learn TensorFlow for Beginners
- Top 10 TensorFlow courses for Data Scientists
- 10 Books and Courses to learn Data Science in 2025
- Top 8 Python Libraries for Data Science and Machine Learning
- Top 5 Courses to Learn Advance Data Science
- 5 Courses to learn Maths and Stats for Data Science
- Top 5 Courses to Learn Tableau for Data Science
- 5 Books to learn Python for Data Science
- 10 Courses to Learn Data Science for Beginners
- 10 Free Courses to Learn Python for Beginners
- Top 5 Courses to learn Pandas for Data Analysis
Thanks for reading this article so far. If you like these best Artificial Intelligence or AI training courses with Python, please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.
P. S. - If you are serious about moving into AI and Machine Learning field, I also suggest you learn Python, one of the most valuable skills for Machine Learning and AI. If you need resources, check out this list of the best Python courses to kick-start your journey.
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