The best AI learning resources for getting started are free, and the seven courses below take you from machine learning basics all the way to large language models. We found them while building the AI Central Library, the tutorial collection we curate for readers. Pair them with our plain-English intro to generative AI for beginners and these 10 free AI cheat sheets and you have a complete starter kit.
The 7 Best Free AI Courses
1. Stanford: Machine Learning by Andrew Ng
What You’ll Learn:
Core machine learning concepts and statistical patterns
Foundation for understanding neural networks
Hands-on exercises to solidify your understanding
Why It’s Useful:
This course is one of the most well-known in the field. Created by AI pioneer Andrew Ng, it’s the ideal starting point for anyone who wants to understand the basics of machine learning. With a solid grasp of these concepts, you’ll be ready for more advanced AI studies.
2. But What Is a Neural Network? (3Blue1Brown)
What You’ll Learn:
The fundamentals of neural networks with visual aids
The math and logic behind deep learning models
How neural networks function in simple terms
Why It’s Useful:
Neural networks are the backbone of many AI applications today. This course offers a clear and visual introduction, helping you grasp the key concepts before diving into more complex materials. Great for anyone who’s curious but hasn’t yet cracked the code of deep learning.
3. Transformers: The Tech Behind LLMs
What You’ll Learn:
How transformers work, the architecture powering many AI models
The concept of attention mechanisms in deep learning
A bridge between traditional machine learning and cutting-edge transformer models
Why It's Useful:
Transformers have revolutionized the AI space. If you have ever wondered how models like ChatGPT understand and generate text, this is your chance to see the tech behind the scenes. It is a must-watch for anyone interested in large language models.
4. Large Language Models Explained Briefly
What You’ll Learn:
The basics of large language models (LLMs)
How LLMs predict text and generate intelligent responses
A high-level view of LLMs before diving into more advanced topics
Why It’s Useful:
Large language models are at the core of tools like ChatGPT. This brief overview will give you a clear understanding of their capabilities and limitations, setting you up to explore more detailed materials.
5. Intro to Large Language Models (Andrej Karpathy)
What You’ll Learn:
In-depth coverage of large language models from an expert’s perspective
How LLMs are applied in real-world scenarios
The challenges and ethical considerations of using LLMs
Why It’s Useful:
If you’re planning to work with AI tools or implement LLMs in your projects, this course provides essential knowledge. You’ll also get valuable insights into the future of AI and the real-world applications of these models.
6. Deep Dive into LLMs like ChatGPT (Andrej Karpathy)
What You’ll Learn:
The entire pipeline of training LLMs from raw internet text
Advanced prompt engineering and practical usage tips
Insights into the psychology of AI and how to make the most of it
Why It’s Useful:
This course is perfect if you’re looking to deepen your technical understanding of LLMs. Whether you're working with ChatGPT or other large models, it provides the knowledge to use AI tools effectively and creatively.
7. How ChatGPT Writes Your Thesis in Under 40 Minutes
What You’ll Learn:
How to leverage ChatGPT for content creation
The step-by-step process of writing a thesis in a short time
Advanced strategies for prompting AI to generate high-quality work
Why It’s Useful:
This course shows you how to apply AI to real-world tasks like writing. It’s perfect if you're looking to improve your efficiency in content creation and leverage AI for projects like reports, essays, and even thesis writing.
Work through these seven courses in order and you go from zero to a solid mental model of modern AI. When you are ready to put the theory into practice, start with the 26 principles of prompt engineering.
Frequently Asked Questions
Are these AI courses really free?
Yes. All seven courses are free to watch on YouTube, with no signup, subscription or payment required.
What is the best free AI course for beginners?
Start with Andrew Ng's Stanford machine learning lecture for the fundamentals, or 3Blue1Brown's neural network video if you prefer a visual introduction. Both assume no prior AI knowledge.
Do I need coding or math skills to learn AI?
Not for most of this list. The visual explainers are fully conceptual, and only the Stanford lecture benefits from basic linear algebra and statistics.
How long does it take to learn AI basics?
You can watch all seven courses in about a weekend. Give yourself a few weeks of hands-on practice with tools like ChatGPT or Gemini to make the concepts stick.
