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Build LLMs From Scratch: A Beginner’s Guide to How AI Models Really Work

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About Course

Build LLMs From Scratch: The Foundation Course teaches you exactly how large language models like ChatGPT and Claude actually work, using a 2-hour Stanford-quality breakdown made simple for beginners.

You will learn LLM tokenization, how models decode user prompts, the full training pipeline, and how to build an LLM architecture from the ground up.

This is not theory for theory’s sake. AI engineers with this exact knowledge are among the highest-paid professionals in tech today, and understanding it puts you ahead of 99% of people who only know how to use AI tools, not build them.

Whether you are a student, a developer, or just AI-curious, this course gives you the real foundation others are paying thousands to learn.

No fluff, no filler, just the core knowledge broken into clear, bookmarkable sections. Start today.

Give it 2 hours and walk away understanding what most people never will.

Enroll for free and start building your AI foundation now.

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What Will You Learn?

  • Understand what tokenization is and how LLMs break down text before processing it.
  • Explain how LLMs decode and interpret user prompts step by step.
  • Understand the full training pipeline used to build a large language model.
  • Build a basic LLM architecture from scratch, piece by piece.
  • Apply core AI vocabulary correctly in conversations, interviews, and further learning.
  • Identify the key components that make up any modern LLM.
  • Understand why tokenization and decoding directly affect how "smart" a model feels.
  • Recognize the skills that top AI companies are actively hiring and paying premium salaries for.
  • Use this foundation to guide your next steps into deeper AI or ML learning.
  • Explain, in simple terms, how a model goes from raw text to a working system.

Course Content

Building LLMs

  • How to Build LLMs from Scratch
    02:40:00

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JE
1 month ago
Good