Large Language Models (LLMs) can feel overwhelming — tokens, embeddings, transformers, attention…

Most people either stay at the surface or get lost in the complexity.

This course helps you understand what’s actually happening inside an LLM, step by step — without unnecessary confusion.

You’ll learn:

• What tokens and embeddings really mean
• How transformers work at a high level
• What “attention” actually does
• How LLMs generate responses

The goal is not to turn you into a researcher.
The goal is to give you clear mental models so you can build, debug, and reason about LLM-based systems.

This course is ideal if:

• You’ve used tools like ChatGPT but don’t fully understand them
• You’re moving toward building AI applications
• You want clarity before going deeper into advanced topics

By the end, you won’t just use LLMs —
you’ll understand how they think.

If you want to move from user → builder mindset, this is where it starts.