The Ultimate Beginner's Guide to AI and Machine Learning

Crucial, foundational AI concepts, all bundled into one course. These concepts will be relevant for years to come.

This course provides the essential foundations for any beginner who truly wants to master AI and machine learning. Mastering any craft, requires that you have solid foundations. Anyone who is thinking about starting a career in AI and machine learning will benefit from this. Non-technical professionals such as marketers, business analysts, etc. will be able to effectively converse and work with data scientists, machine learning engineers, or even data scientists if they apply themselves to understanding the concepts in this course.
Many misconceptions about artificial intelligence and machine learning are clarified in this course. After completing this course, you will understand the difference between AI, machine learning, deep learning, reinforcement learning, deep reinforcement learning, etc.
The fundamental concepts that govern how machines learn, and how machine learning uses mathematics in the background, are clearly explained. I only reference high school math concepts in this course. This is because neural networks, which are used extensively in all spheres of machine learning, are mathematical function approximators. I therefore cover the basics of functions, and how functions can be approximated, as part of the explanation of neural networks.
This course does not get into any coding, or complex mathematics. This course is intended to be a baseline stepping stone for more advanced courses in AI and machine learning.