top of page
Search AI Tools

Find the best AI Tools in seconds, for Free.

Best Free Resources to learn Artificial Intelligence



Artificial Intelligence (AI) is a rapidly growing field that is impacting almost every industry, from healthcare to finance. If you're interested in learning about AI, there are many online resources available to help you get started. In this article, we will explore some of the best free resources to learn Artificial Intelligence.

Online Courses



This course is a great way to get started with Artificial Intelligence. It covers Python, the one of most used programming languages behind AI.


It explores machine learning, natural language processing, and robotics, also a bunch of other topics too.




This course covers the deeper corners of deep learning: like convolutional neural networks and recurrent neural networks.


But it also talks about TensorFlow; that's the most popular deep learning framework. It's a must-know if you really want to understand DL.




This course by Andrew Ng is an awesome machine learning course. It covers the important topics such as linear regression, logistic regression and neural networks.


Best part, the course is self-paced and all the materials are free!




This course is for non-techy people who want to learn about AI. It covers stuff like supervised learning, unsupervised learning and deep learning.




This course offers an introduction to reinforcement learning - a type of machine learning that's used in robotic development and game-making.


It'll take through topics like Q-learnin' and policy gradients. So if you're looking to get up to speed with this really cool field of AI, then this course is for you.




Youtube Channels



This channel is all about the complex, ever-changing world of AI. There you can find short videos that'll explain all the latest happenings in this area.


It cover the full spectrum - from natural language processing, to computer vision.




This channel is all about machine learning and data science! It got some really cool in-depth tutorials. TensorFlow and PyTorch are just two of the libraries they cover, It is a nice channel.




This channel is all about AI related content. You can find tutorials, interviews, and recent news about advancements in AI. It's great for learning, for fun and for keeping up to date.




Check out this awesome channel! We've got interviews with some of the biggest names in AI - Andrew Ng, Demis Hassabis and Yoshua Bengio. It's fantastic hearing from these experts about the future of AI.




This channel looks into a bunch of topics related to the world of computer science - Artificial Intelligence, Machine Learning and loads more! They have got everything you need to get you up to speed in AI.




This channel has videos about the research and projects happening over at DeepMind which is AI research organization.


If you're curious about the world of Artificial Intelligence. They have got content from the minds at DeepMind and plenty of other AI experts that will give you a great peek into the world of AI.




Websites



TensorFlow is this amazing open-source framework from Google for deep learning. It has become one of the standards for building and training machine learning models. it has awesome documentation, tutorials and also code samples to get you off the ground running.




The PyTorch website is loaded with useful tutorials, docs and code samples - making it super easy to get up and running with the library. An added bonus - it's all open-source, so you can access, modify and tweak it however you need.




Kaggle is a great place to learn and develop your data science and machine learning skills. You'll find a host of competitions, challenges and datasets all designed to help you get up to speed with the latest AI technology.


Plus, there's plenty of tutorials and examples for you to dig into - and a helpful community of data scientists to boot. So it's the perfect place to get your feet wet in the world of artificial intelligence.




OpenAI is an org dedicated to artificial intelligence and machine learning. Its website is packed with info about the research they do, and tutorials & resources so people can learn more about artificial intelligence and use it.


Plus, they're always working on new ways to make AI more accessible - so keep an eye out!




There at AI Shack, they provide tutorials and resources to help anyone get to grips with AI. From the basics of machine learning to more advanced areas like natural language processing and computer vision - They have got it all.




Papers With Code is a website that provides code implementations for research papers in machine learning and artificial intelligence.


It is a great resource for learning about the latest research and for getting hands on experience with implementing state-of-the-art algorithms and much more.




The AI Index project tracks the progress made in artificial intelligence research and development. Their website has data and analysis about the state of AI and loads of helpful resources and info if you're looking to learn about the field.



Communities



AI Stack Exchange is community Q&A site where you can ask questions and share your knowledge about Artificial Intelligence, machine learning, and deep learning.


They have got a reputation system which rewards those who give high-quality answers, so join them and get recognized for your contributions.




Reddit Machine Learning is a growing community of 1.8 million+ enthusiasts. It's a great resource for all things ML, deep learning and AI. You can share news, find research papers, and discover projects all related to the above.


Plus the community's really active and something new is posted every day. So if you've got a question or something to share, this is definitely the place to be. It's a great hub for connecting with other AI interested people.




AIcrowd is hosting tons of fun challenges and competitions that you can solve. It also has awesome resources like datasets and projects that you can use to broaden your AI horizons. And if you want to interact with others of the same interest, different conversations and learnings can be shared in its community section. So if you're looking to sharpen your AI skills, AIcrowd is definitely the place to go.



Conclusion


AI is a rapidly growing field and it's important to stay up to date. It's great news there's plenty of free resources to learn AI. Beginners to Experts can benefit from the online courses, YouTube channels, websites and AI communities available. Knowledge can be gained, skills can be sharpened and contributions can be made. The best of these resources have been revealed - so check them out to get up to speed in the field of AI!


 

Related Questions


What is the best way to learn Artificial Intelligence?


Learning AI starts with the basics of math and computer science like linear algebra, calculus, probabilistic theories, stats, coding and data structures. Get these under your belt and then you can dive deep into learning machine learning mechanics, deep learning architectures and natural language processing. One way to make sure you stay at the top of your game is to tackle projects, get involved in online communities and tap into the latest research.


Can I self study AI?


Yes, you can self-study AI using various resources available online, such as online courses, tutorials, books, and YouTube channels. However, it requires a lot of dedication, discipline, and patience as learning AI involves a steep learning curve and requires a strong foundation in mathematics and programming.


Can I learn AI in 3 months?


Learning AI isn't something you can pick up in three months. It takes dedication, patience and hard work over time - continuous learning and practice. It's a journey that requires staying on top of the latest developments and technologies in the field.


Should I learn AI or ML first?


It is recommended to learn Machine Learning before diving into AI as AI is a broader field that encompasses ML, deep learning, natural language processing, and other related fields. ML is a subset of AI, and it lays the foundation for learning more advanced AI concepts.


Do you need a lot of math for AI?


Yes, AI involves a lot of math, including linear algebra, calculus, probability, and statistics. Having a good grasp of math is important for understanding and using AI concepts properly. But don't worry if you don't have a strong base in these areas, there're some resources out there that can help you out.

Comments


bottom of page