10 free AI courses you should learn to be a master
AI is currently very popular, and free courses are being offered in various places. The quality of the courses is very high, including those from major industry leaders, famous universities in the US, and materials from famous companies, etc. I think it's a great time to be able to learn this for free. I thought it would be useful to put them all together in one place, so I put them together. As for how to use it, I think it's better to complete one course that you feel suits you, rather than taking all of the courses introduced in this article. It will be more effective if you then supplement those courses with other courses.
This is as much as I could find, so I would be very grateful if you could point out to me that I should include this as well.
1. AI For Everyone #
AI For Everyone, taught by Stanford University Professor Andrew Ng and can be taken without any prior knowledge of AI, and is recommended for those who want to know what AI is. There is a fee for taking the test and obtaining the certificate, but the course is free of charge.
You can learn more about the course at AI For Everyone - Coursera.
2. Machine Learning for Beginners (from Microsoft) #
A curriculum published by Microsoft on GitHub. This curriculum can be studied in 12 weeks / 24 lessons. The curriculum is designed to help people of all ages learn the basics of machine learning, and primarily uses the Scikit-learn library to teach "classical machine learning".
The course is at Machine Learning for Beginners
3. CS50’s Intro to Artificial Intelligence with Python #
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation.
This course requires you to have a computer science background or at least one year of experience with Python, and is offered by CS50’s Introduction to Artificial Intelligence with Python.
4. EDX Artificial Intelligence (AI) #
Learn the basics of Artificial Intelligence and apply it. Design intelligent agents to solve real-world problems such as search, games, machine learning, logic, and constraint satisfaction problems.
You can enroll in this course at EDX Artificial Intelligence.
5. Artificial Intelligence for Robotics(Stanford University via Udacity) #
This class will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics
Link to the course: Artificial Intelligence for Robotics
6. Knowledge Based Artificial Intelligence (from Udacity) #
This is a core course in artificial intelligence. It is designed to be a challenging course, involving significant independent work, readings, assignments, and projects. It covers structured knowledge representations, as well as knowledge-based methods of problem solving, planning, decision-making, and learning.
The link to the course is Knowledge Based Artificial Intelligence
7. Machine Learning Crash Course By Google #
Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
You can learn more about the course at Machine Learning Crash Course.
8. Intro to Artificial Intelligence (from Udacity) #
Learn the Fundamentals of AI. Course run by Peter Norvig
Link to the course: Intro to Artificial Intelligence
9. Elements of AI #
Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want as many people as possible to learn what AI is, what it can (and can't) do, and how to start creating AI methods. The course combines theory with practical exercises and can be completed at your own pace.
You can check out the course at Elements of AI
10. Exam AI-900: Microsoft Azure AI Fundamentals #
This course, offered by Microsoft Japan Corporation, is designed to teach the basics of AI and to help students acquire the Microsoft AI-900 certification. The course is designed to teach the basics of AI and to help students obtain the Microsoft AI-900 certification. General knowledge and experience in programming is preferred as prerequisite knowledge. The course duration is approximately 9 hours.
Link to the course: Exam AI-900: Microsoft Azure AI Fundamentals