How Artificial Intelligence (AI) Actually Works

About this course

This course contains the use of artificial intelligence.

AI can seem complicated, but the core ideas behind it are surprisingly approachable. This course takes you from the fundamentals of Artificial Intelligence to modern Generative AI and Large Language Models, without assuming a deep technical background.

You’ll start by understanding what AI actually means, how it differs from related fields, and whether computers can truly “think.” You’ll explore classic AI techniques such as puzzle solving, the Minimax algorithm, and the history of AI.Next, you’ll learn the foundations of Machine Learning, including the Bayes Rule, Naive Bayes, supervised and unsupervised learning, reinforcement learning, nearest neighbors, and linear regression.

From there, the course moves into neural networks. You’ll discover how individual neurons work, how neural networks are constructed, and how these ideas lead to today’s AI systems.

Finally, you’ll explore Generative AI, Transformers, GPT models, token generation, and how Large Language Models actually produce text. You’ll also see how a 27-billion-parameter AI model can run within just a few gigabytes of memory on a local machine.

By the end, you’ll have a clear mental model of how modern AI evolved and how the technologies powering today’s AI applications fit together.

Join us in this course and learn about AI today.

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