The 7 Free Online Courses For Those Who Want To Learn About AI & ML

Artificial Intelligence (AI) and Machine Learning (ML) are two concepts that have become more and more familiar with modern technology. However, not all of us equip ourselves with principal knowledge about them.

The following article lists the 7 free online courses for those who are going to learn AI and ML. They all get a high appreciation and may become a helpful tool for both newbies and even experts.

I. Best-Rated Courses On Artificial Intelligence (AI)

Along with the rapid development of the Internet, approaching Artificial Intelligence is no longer difficult like before. Some of the most popular sources come from the best tech universities all over the world via free videos on YouTube or similar sites.

Here are the top 04 online courses on AI you can consider if you are looking for a really good course.

1. Artificial Intelligence For Robotics (Udacity, Georgia Institue Of Technology)

The first free online course in this list belongs to Udacity. Students can find out lots of valuable content concerning the programming for robotic cars offered by Google and Stanford.

Artificial Intelligence for Robotics takes an important role in a course called Deep Learning Nanodegree Foundation. Also, the German computer scientist Sebastian Thrun is the one who teaches the course according to many various topics such as Kalman filter, localization, Particle filter, SLAM, and PID control.

This course doesn’t just aim to provide basic math concepts, from probability to linear algebra, but it also teaches students one of the most used programming languages, Python.

2. Artificial Intelligence from EdX

If your choice is an online source on AI that can meet the following demands: easy-to-understand and in-depth, EdX's course must be for you. EdX provides a variety of fundamentals of Artificial Intelligence applications such as data structures, ML algorithms, NLP and robotics, games, as well as many constraint satisfaction problems.

As an advanced tutorial of Columbia University, this whole course lasts 12 weeks and is completely free for all students.

3. Artificial Intelligence: Principles and Techniques (Stanford University)

Joining the free course of Stanford University is a great option to inquire how AI handles complicated problems via math tools. The content of this course includes face recognition, speech recognition, autonomous driving, and machine translation.

In addition, students can view a series of lectures on the Internet, such as tree search, ML concepts, game playing, Bayesian networks, Heuristics, Dynamic programming, logic and more. In a bid to test their knowledge, developers build this course with many different assignments from programming, the probability to discrete math.

4. Introduction to Artificial Intelligence (Audacity)

Participants of Audacity’s course will have a chance to approach some fundamental knowledge of AI technology. As a part of Machine Learning Engineer Nanodegree Program, this course introduces many typical applications in the technology field.

Two major teachers of this course are Sebastian Thrun & Peter Norvig. They will guide students a series of the AI-related content including statistics, machine learning, Bayes networks, as well as AI applications from image processing, robotics, to NLP.

However, if you have the intention to follow the course of Audacity, you should, at least, equip yourself with principle knowledge of probability and linear algebra theory.

II. Top Online Courses On Machine Learning (ML)

As an important part of AI technology, Machine Learning or ML has gained interest from the tech communities. And learning ML via online courses is a convenient way to help you get more awareness of it. There are some criteria to evaluate such a course. For example, the course must provide diverse content relating to machine learning. Also, the content must be updated constantly, and more ideally, it must be built with the high interactivity.

Here are three suggestions on Machine Learning that may be a perfect option for you!

1. Udacity Intro To Machine Learning from Udacity

Udacity has developed a lot of interesting online courses on both Artificial Intelligence and Machine Learning. And this course is one of those. Hackerearth.com says the course from Audacity deserves to hold the second spot in this field, only beaten by the ML course from Stanford University.

It takes students about 10 weeks to complete the course as a part of the Data Analyst Nanodegree of Udacity. Accordingly, they will learn how to tackle data sets by applying ML techniques. Of course, Python and fundamental statistical concepts are the compulsory knowledge you must have to follow this course.

2. Learning From Data (Introductory Machine Learning) from EdX

Another free online course concerning Artificial Intelligence and Machine Learning comes from EdX. This course, Learning From Data, is guided by Professor Yaser S. Abu-Mostafa, who now works for Electrical Engineering and Computer Science, California Institute of Technology.

With Learning From Data, students will learn many algorithms, theoretical principles, along with Machine Learning applications. They need to spend about 10-20 hours per week within 10 weeks completing this course.

3. Machine Learning From Stanford University

When it comes to global universities with a high-quality education, Stanford University must be a name we can’t fail to mention. As a piece of evidence, its ML course has gained great ratings and reviews from the tech communities.

The founder of Google Brain, Andrew Ng, is the one to teach this course from Stanford University. He was formerly known as the chief scientist of Baidu. First introduced in 2011, it includes almost all of the Machine Learning content.

It takes students 5 to 7 hours per week to complete this course. After that, they can get a certificate if necessary.