From fundamentals to the cutting edge without the frustration.

A clear path to understand AI, with everything in one place.

LLM Fundamentals
Introduction
Pre-training
Post-training

What existing learners say

Jeremy Wu profile photo

Jeremy Wu

Master in Analytics, Northeastern University

i just learned one hot encoding in my python class this quarter, and you nailed it here:

I like how you show how AI is limited, mentioning the traditional one hot encoding and the solution such as Dense Embeddings for more complex problems.

Smooth explanations of embeddings and transformers, i think your embedding chapter is great!

I think those with a bit of understanding about AI will cruise through your course based on the first 3 chapters.

Simple explanations, not too wordy, colloquial so more entertaining for the readers, and not too long to lose their interest!

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Ray Wen

Master in computer science, New York University

Intuitive AI Academy replaces the typical AI information overload with a streamlined, intentional curriculum.

It strips away the distractions, allowing you to focus on building a cohesive understanding of LLMs without losing the freedom to explore the details.

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Jason Lee

masters student at University of Washington, student researcher at ai2

There's no doubt that AI and deep learning will have a tremendous impact on the world.

No matter you background, I believe it's never too late or too difficult for anyone to learn and fully understand the future we're building.

Intuitive Academy lowers the barriers to entry for AI systems, enabling everyone to truly comprehend AI from the core fundamentals to the latest state of the art breakthroughs.

Learning Materials Preview

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Learning materials preview showing course content and explanations

Why Intuitive AI

Reason #1

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We've designed every lesson for clarity and deep understanding—always up to date.

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We filter out the noise and continuously update content to give you the best knowledge.

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Everything you need to learn is here—no more hunting across the web.

Why Learn AI Now

The pay is excellent, but that's just one of many reasons

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AI-related roles are more critical than ever. From research to real-world applications, the demand far exceeds what most people realize.

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Content Overview

LLM Fundamentals

introduction

9 chapters
Introduction
Tokenization
The Embedding Layer
Positional Encoding
Attention
Layers of Understanding
Learning to Predict
Instruction Tuning and RLHF
GPT-2 from Scratch

pre-training

8 chapters
Overview
Training Objectives and Architectural Details
Scaling Laws and Optimization
Training Data Engineering
Training Infrastructure and Systems
Advanced Pretraining Objectives
Evaluation During Pretraining
Case Study - LLaMA 3

post-training

5 chapters
Overview
Supervised Fine-Tuning
Preference Optimization
Tools and Safety Tuning
Case Study on Tulu 3

LLM Advanced

lora

1 chapter
LoRA

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