What You'll Learn
Six short lessons that take you from "What is AI?" to understanding how language models, prompt engineering, and AI agents actually work.
What is AI, Really?
AI vs. machine learning vs. deep learning. How machines learn from data. The three types of learning.
Neural Networks & Deep Learning
How neural networks process information. What makes learning "deep." Why it all clicked in the 2010s.
Large Language Models & Transformers
How LLMs predict text. The Transformer breakthrough. Key models and the vocabulary you need to know.
Prompt Engineering & Working With AI
How to talk to AI effectively. Zero-shot, few-shot, and chain-of-thought techniques. Real-world examples.
RAG, Fine-Tuning & Embeddings
How to customize AI for specific tasks. The difference between fine-tuning and RAG. How meaning becomes math.
AI Agents, Hallucinations & What's Next
AI that takes action. Why AI makes things up. Multimodal models. Why learning design matters more than ever.
Who Made This?
Hi, I'm Ashima Sitaula. I have a PhD in Curriculum & Instruction, a BSc in Computing, and 10+ years of experience designing learning systems. I built this course because I believe AI literacy shouldn't require an engineering degree. If you can read, you can understand how AI works.