LESSON LIBRARY
Learn AI one idea at a time
Pick a topic and build from there. Each lesson focuses on one useful idea, explains it in plain English, and gives you a clear next step. New here? Start with the 12-lesson beginner path.
START HERE
Beginner path: 12 lessons in 3 phases
Go from "I have used ChatGPT" to "I understand how it works" in 12 short lessons, grouped into three phases. Follow them in order for the clearest journey.
What ChatGPT is, where it came from, and what the core terms actually mean.
- 1 What Is ChatGPT?Start lesson ›
You have probably used it. This lesson explains what ChatGPT actually is, starting from zero.
- 2 Why ChatGPT Became PopularStart lesson ›
It reached a million users in five days. Here is what made it spread so fast.
- 3 What Does GPT Stand For?Start lesson ›
Generative Pre-trained Transformer. Each word tells you something real about how it works.
- 4 What Is a Large Language Model?Start lesson ›
The engine under the hood of every AI chatbot. What it is and how it learns.
How chatbots generate answers and the mechanics that drive them, from tokens to transformers.
- 5 How Do Chatbots Generate Answers?Start lesson ›
A chatbot does not look up answers. It builds them one piece at a time. Here is how.
- 6 What Are AI Tokens?Start lesson ›
AI reads text in small chunks called tokens. This affects cost, speed, and memory.
- 7 What Is a Context Window?Start lesson ›
Think of it as the AI's desk space. When it fills up, older content slides off.
- 8 What Is a Transformer?Start lesson ›
The architecture that made modern AI possible. What it does and why it changed everything.
Attention, prompting, hallucinations, and retrieval: the practical skills for real-world AI use.
- 9 What Is Attention in AI?Start lesson ›
The mechanism that lets a model figure out which parts of the text matter most.
- 10 Writing Better PromptsStart lesson ›
Small changes in how you ask make a big difference in what you get back.
- 11 Why AI HallucinatesStart lesson ›
AI can sound confident while being wrong. Here is why that happens and how to spot it.
- 12 What Is RAG?Start lesson ›
How AI tools give the model real documents to read before it answers, like an open-book test.
BROWSE BY TOPIC
All lessons
ChatGPT and AI Basics
Start here. What ChatGPT is, where it came from, and what GPT and large language models actually mean. These are the foundational concepts every learner needs before going deeper.
You have probably used it. But what is it actually doing when you type a message? This lesson explains ChatGPT in plain language, starting from zero.
It reached a million users in five days. Here is what made it different from every AI tool that came before it.
Generative Pre-trained Transformer. Each word tells you something real about how these models work.
How LLMs Work
The engine room behind every AI chatbot. Start with what an LLM is and how it generates answers, then move on to tokens and context windows as the bridge to the deeper architecture lessons below.
The engine under the hood of every AI chatbot. What it is, how it learns, and what makes it large.
A chatbot does not look up answers. It builds them one piece at a time. Here is how that works.
AI does not read text exactly like we do. It breaks words into smaller pieces first. Tokens affect cost, speed, and memory. A bridge lesson before the architecture deep-dives.
Think of it as the AI's desk. When it fills up, older parts of the conversation slide off the edge. Another bridge concept before the mechanics.
The architecture that made modern AI possible. What it does differently and why it changed everything. Read after tokens and context window for the clearest journey.
The mechanism inside a Transformer that figures out which parts of the text matter most. Best read after the Transformer lesson.
Using AI Well
Prompting habits, context, and practical tips for getting useful answers more reliably.
Limits and Trust
Why AI makes things up, what it gets wrong, and how to stay grounded when using it.
AI can sound confident while getting facts wrong. Learn why that happens and how to spot it.
How AI tools give the model real documents to read before answering, reducing the chance of made-up facts.
AI is powerful but has real limits. Understanding them helps you use it more wisely.
Coming soon
Building With AI
APIs, tools, and how AI fits into real products and workflows. This pillar is planned for a later expansion wave once the core 12-lesson path is complete.