Best Artificial Intelligence Course + Top 4 FREE AI Classes

Advertiser Disclosure

Artificial Intelligence (AI) is a rapidly-growing field in technology. And if you want to get involved in either field but don’t know where to start, this Artificial Intelligence course is for you! In this course, you’ll learn about Artificial Intelligence and Machine Learning. You’ll learn about the different types of AI, how they work and why they’re important, as well as how they’ve changed over time. You’ll also learn about some of the most common applications of machine learning such as image recognition and natural language processing (NLP). Also, make sure to check out Artificial Intelligence: A Modern Approach.

Artificial Intelligence A-Z™: Learn How To Build An AI

⭑⭑⭑⭑⭑ 4.5/5.0 – 21,674 ratings – 186,662 students

What is Artificial Intelligence (AI)?

Artificial intelligence is a form of machine learning that enables computers to learn and adjust without being programmed. AI is also referred to as computational intelligence, machine intelligence, or soft computing. Artificial intelligence works in many different areas, including medicine, business, law enforcement, and more.

Artificial Intelligence (AI) is a term that refers to the intelligence that machines exhibit, and how they can be programmed to behave in ways that mimic human thought. While AI has been around since the 1950s, it is only recently that we’ve seen advancements in machine learning and deep learning that have allowed AI systems to do things like play games and beat humans at them.

As computers get better at processing information and “learning,” it’s not just board games we’ll need to worry about losing – there are many more serious applications for AI, including autonomous vehicles, advanced medicine, and even military applications.

The History of AI

Artificial Intelligence is the study of how machines can be made to act intelligently, in a way that appears to be similar to human behavior. The AI field was born as an academic discipline in 1956, with the publication of AI pioneer John McCarthy’s paper “Programming a Computer for Playing Chess”, in which he proposed the use of formal logic as a basis for computer problem-solving.

The field has been divided into many subfields, including: machine learning, robotics, NLP, and control systems. While AI has seen tremendous advancements since its inception, it still has much room for growth and development.

Best Artificial Intelligence Courses

Top 4 FREE Artificial Intelligence Courses

Artificial intelligence has been around since the 1950s, but it wasn’t until recently that there was widespread interest in it. The most common way of implementing artificial intelligence today is through machine learning: when a computer or robot learns from experience to make decisions on its own. Human behavior can be mimicked by AI. These are 4 of our favorite FREE Artificial Intelligence courses!

#1 – AI For Everyone by DeepLearning.AI

#2 – Applied AI Professional Certificate by IBM

#3 – Introduction to Artificial Intelligence with Python by Harvard University

#4 – AI Applications with Watson by IBM

BONUS #1: Learn from AI & ML Experts at Google

Whether you’re just learning to code or you’re a seasoned machine learning practitioner, you’ll find information and exercises to help you develop your skills and advance your projects:

BONUS #2: Stanford CS221 – The Full FREE Artificial Intelligence Course

Ready to join a Stanford University course for FREE? Bookmark this page and watch the entire Stanford CS221 AI course for free! In this course, you will learn how to implement various Artificial Intelligence systems.

Overview Artificial Intelligence Course | Stanford CS221: Learn AI
Machine Learning 1 – Linear Classifiers, SGD | Stanford CS221: AI
Machine Learning 2 – Features, Neural Networks | Stanford CS221: AI 
Machine Learning 3 – Generalization, K-means | Stanford CS221: AI
Search 1 – Dynamic Programming, Uniform Cost Search | Stanford CS221: AI
Search 2 – A* | Stanford CS221: Artificial Intelligence
Markov Decision Processes 1 – Value Iteration | Stanford CS221: AI
Markov Decision Processes 2 – Reinforcement Learning | Stanford CS221: AI
Game Playing 1 – Minimax, Alpha-beta Pruning | Stanford CS221: AI
Game Playing 2 – TD Learning, Game Theory | Stanford CS221: Artificial Intelligence
Factor Graphs 1 – Constraint Satisfaction Problems | Stanford CS221: AI
Factor Graphs 2 – Conditional Independence | Stanford CS221: AI 
Bayesian Networks 1 – Inference | Stanford CS221: AI
Bayesian Networks 2 – Forward-Backward | Stanford CS221: AI
Bayesian Networks 3 – Maximum Likelihood | Stanford CS221: AI
Logic 1 – Propositional Logic | Stanford CS221: AI 
Logic 2 – First-order Logic | Stanford CS221: AI 
Deep Learning | Stanford CS221: AI 
Conclusion | Stanford CS221: AI

The Best Online Course Reviews

Search our database of the best online course reviews at

Share the Post:

Join Our Newsletter

Related Posts