The 7-week fast.ai Deep Learning for Coders Course is great for those of you who are familiar writing code in Python.

fast.ai provides two free Deep Learning courses:

• Practical Deep Learning for Coders, Part 1 (7 weeks)
• Cutting Edge Deep Learning for Coders, Part 2 (7 weeks)

Intel’s AI Academy has several free courses on Artificial Intelligence, Deep Learning and Machine Learning. They cover beginning topics as well as advanced techniques.

Artificial Intelligence courses from Intel:

• Frameworks (Train Deep Neural Networks (DNNs) on Intel architecture
• Enhance with Tools (Intel’s tools for Deep Learning optimization)
• Deep Learning 501 (12 week introductory course)

Udacity has an amazing free course on Deep Learning by Google. Vincent Vanhoucke teaches you the inner workings of neural networks. They also help you to work with Tensorflow and code your own deep learning architectures.

• Click here to check out the course

School of AI has a free Reinforcement Learning course called “Move 37”. In this course you will learn the basic principles as well as advanced techniques such as actor-critic and deep Q learning. The program concludes with an end project where you will implement your own multi-agent reinforcement learning program.

• Click here to check School of AI’s “Move 37” Course

Udacity has a great reinforcement learning course made by professors from Georgia Tech. The instructors (Charles Isbell and Michael Littman) are themselves renowned researchers in the field and they bring the material with a great enthusiasm and humor.

• Click here to check out Udacity’s free reinforcement learning course

DeepMind co-founder gives a primer on reinforcement learning in this series of 10 lectures that are available for free.

• Click here to watch David Silver’s RL course

CodeCademy is an excellent website for coding tutorials. You can get free beginner tutorials on a wide range of languages, like Python, SQL, Bash/Shell, Git, JavaScript, Java, Ruby, HTML and CSS. The website also offers more elaborate paid programs that can last up to a few months.

Click here to check out free coding tutorials from CodeCademy!

The most important mathematical topics that you will encounter in A.I. are:

• Linear Algebra
• (Multi-variable) Calculus
• Probability and Statistics
• Optimization

There are several ways to learn A.I. related math for free.

1. Take courses from MIT OpenCourseWare for a complete understanding of A.I. Math:

• Linear Algebra Course (34 lectures)
• Highlights of Calculus (5 lectures)

2. Watch videos from Youtube Educator 3Blue1Brown for a good intuitive understanding of A.I. math:

• Essence of Linear Algebra (15 videos)
• Essence of Calculus (11 videos)

3. Check out edX for free courses on probability and algorithms:

• Probability (12 hours per week for 4.5 months)
• Algorithm Design and Analysis (6 hours a week for 1 month)

Note: I must accredit Siraj Raval for most of the sources on this section. Check out his “Learn Machine Learning is 3 months” video here!

Coursera is partnering with top international universities to provide excellent online courses. Coursera was founded by “Andrew Ng” and the platform provides plenty of A.I. related courses.

A.I. related courses on Coursera:

• Learn Machine Learning fundamentals in 5 courses from University of Washington.
• Learn Data Science from Johns Hopkins University.
• Learn Python in 5 courses from University of Michigan.
• Learn Excel, Tableau, and SQL to analyze data, create forecasts and visualizations in 5 courses from Duke University.
• Check out one of the other 1600+ online courses from Coursera. All from top universities.