Top 10 Courses to learn Artificial Intelligence with Python in 2024
These are the best online courses to learn Artificial Intelligence from Udemy and Coursera.
Hello guys, Artificial Intelligence is one of the growing fields in technology and many developers are trying to learn Artificial Intelligence to take their career next level.
If you are a Python developer and looking for the best courses to learn Artificial Intelligence with Python then you have come to the right place.
Earlier, I have shared the best Coursera courses and certifications to learn Python, Cloud Computing, Software Development, and Web Development, and, in this article, I I will share the best courses to learn AI basics as well as some hands-on courses to practice AI with the Python library.
I first come 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 since then. Now, Google is using the same DeepMind to reduce 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 just learning how to use AI for your benefits or customize Artificial Intelligence for your own need will go a long way in the near future, and 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 follows.
If you are like me and want to learn AI or Artificial Intelligence in 2024 with Python and looking for some excellent online courses, then you have come to the right place. In this article, I am going to share some of the best online courses to learn Artificial Intelligence with Python in 2024.
10 Best Courses to Learn Artificial Intelligence with Python in 2024
There are many courses to learn Artificial Intelligence on the Internet, but most of them 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 that has 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 Every One by Andrew Ng (Coursera)
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 on the planet.
If you are wondering if this is true? Yes, The Machine Learning course on Coursera has been taken by more than 4.6 million students which makes it a popular course on Machine learning. You can check numbers by yourself.
When Andrew Ng announced this course on Twitter, I knew this is something I must join, even though I have attended a couple of classes on Artificial Intelligence, I learned a lot from this course.
Here is the link to join this course — AI for EveryOne by Andrew Ng
This course provides a comprehensive overview of what AI is and the meanings of various concepts being talked about in the context of Artificial Intelligence. It helps you to build your vocabulary so that you can discuss AI with fellow programmers and other people, both online and offline.
By the way, if you find Coursera courses useful, then I also suggest you join the Coursera Plus, a subscription plan from Coursera which gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It cost around $399/year but its complete worth of 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 no 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 heavy use of Mathematics and neural networks, instead, I wanted a course that can 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.
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. A big thanks to Kirill Eremenko and his entire SuperDataScience team for creating this awesome course.
Here is the link to join this course —Artificial Intelligence A-Z™: Learn How To Build An AI (Udemy)
3. The Beginner’s Guide to Artificial Intelligence in Unity. (Udemy)
This is another course I have taken on Udemy to learn about 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 game developer and if your non-player characters lack drive and ambition, then 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 working with games, graphics, and has written two award-winning books on games AI.
Throughout this course, you will follow along with 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 is the course for you.
Here is the link to join this course — Beginner’s Guide to Artificial Intelligence in Unity
4. Introduction to Artificial Intelligence (AI) Coursera
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, 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 or not.
Here is the link to join this course —Introduction to Artificial Intelligence (AI)
5. Artificial Intelligence: Reinforcement Learning in Python Udemy
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 of the 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 first hand the amazing results that are possible.
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.
Here is the link to join this course —Artificial Intelligence: Reinforcement Learning in Python
6. IBM AI Engineering Professional Certificate — Coursera
This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer.
In this best Coursera AI course, You’ll learn fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python.
You’ll apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers.
Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark. You’ll build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders.
In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in AI engineering.
Here is the link to join this course —IBM AI Engineering Professional Certificate
7. Getting Started with AI using IBM Watson — Coursera
In this Coursera course, you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson.
You will understand how Watson works, become familiar with its use cases and real-life client examples, and be introduced to several of Watson AI services from IBM that enables anyone to easily apply AI and build smart apps. You will also work with several Watson services to demonstrate AI in action.
This course is also part of following specialization and certificates:
Which means completing this course will count towards your learning in any of the above programs
This course does not require any programming or computer science expertise and is designed for anyone whether you have a technical background or not.
Here is the link to join this course —Getting Started with AI using IBM Watson
8. Tensorflow 2.0: Deep Learning and Artificial Intelligence
This is for serious people who want to learn AI by building models and solving real-world problems. In this course, you will learn Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!
This course focuses on breadth rather than depth, with less theory in favor of building more cool stuff. If you are looking for a more theory-dense course, this is not it.
Here is the link to join this course — Artificial Intelligence for Busines
9. Artificial Intelligence for Business
This is another great Udemy course to learn Artificial Intelligence for business people. Created by Kirill Eremenko and his SuperDataScience team, this course will teach you how to solve Real-World Business Problems with AI Solutions
You will go through a couple of case studies to learn how to Optimize Business Processes, Minimize Costs, and Maximize Revenue. With this course, you will get a 100-pages book covering everything about Artificial Intelligence for Business!.
Here is the link to join this course — Artificial Intelligence for Busines
10. Artificial Intelligence Masterclass — Udemy
This is the ultimate course to learn AI on Udemy. In this course, you will get 10 hours step by step guide and the full roadmap to build your own Hybrid AI Model from scratch.
You will also learn how to develop the most powerful Artificial intelligence model based on the most robust Hybrid Intelligent System. So far this model proves to be the best state of the art AI ever created beating its predecessors at all the AI competitions with incredibly high scores.
In addition to all this, we will also get the full implementations in the two AI frameworks: TensorFlow and Keras.
Here is the link to join this course — Artificial Intelligence Masterclass
That’s all about some of the best courses to learn Artificial Intelligence or AI with Python in 2024. I have tried to include some non-technical courses on Artificial Intelligence like AI for Every One by the great Andrew Ng, just to understand the business and general aspect 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
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Thanks for reading this article so far. If you like best Artificial Intelligence or AI courses from Udemy and Coursera, then 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 when it comes to Machine Learning and AI. If you need resources, check out this list of the best Python courses to kick-start your journey.
