Here are seven free AI lessons you can take online.

In the past few years, there have been a lot of online courses that offer everything from simple introductions to advanced implementations to help people learn more about how complicated AI technology is. There is a course out there for everyone, whether they like to code or want to use AI to solve problems in the real world. Here are some of the best free lessons that you can take:

Making Friends with Machine Learning: This course, taught by data scientist Cassie Kozyrkov, goes into more technical details about AI and machine learning. You’ll learn about different algorithms, how they can be used, and how they produce results by looking at examples.

Google Generative AI Learning Path: This is a crash course in machine learning that focuses on generative AI. It uses Google’s machine learning tool, TensorFlow. It starts with a basic introduction and goes all the way up to building and training neural nets.

This course, offered by Udacity and made by Google, is not for newbies. It assumes that you already know something about machine learning and focuses on techniques for deep learning. It teaches data researchers, scientists, and engineers how to use machine learning and neural network technology in a useful way.

Machine Learning at Stanford University: This Coursera course is taught by an expert in the field, Andrew Ng. It covers a wide range of real-world uses of machine learning, such as speech recognition and improving web searches. It goes into a lot of detail about technical things like linear regression, back propagation, and MATLAB lessons. Certification is offered for people who want to get a job.

The Machine Learning course from Columbia University is available on edX. It offers models, methods, and applications of machine learning to solve real-world problems using probabilistic and non-probabilistic methods, as well as supervised and unsupervised learning. Expect to work on it eight to ten hours a week for three months.

Fundamentals of Deep Learning for Computer Vision by Nvidia: This study looks at the technical basics of computer vision and natural language processing. It helps you figure out when machines that can recognise objects and sort images can be used, and it stresses the role of GPUs (Graphic Processing Units), which are made by Nvidia. You should plan to spend about eight hours on the work.

Deep Learning for Self-Driving Cars at MIT: This course uses self-driving cars as an example of how AI can be used in the real world. It talks about reading data from sensors and teaching machines to find their way around roads. It challenges students to teach a simulated car how to drive safely in a busy area using the MIT DeepTraffic simulator. All lecture videos and exercises are available online.