Stage 1 · Foundations
AI & LLM Basics
What large language models are, what they can and cannot do, and how to use them well.
4 lessons3 ready
- 01 What Is a Large Language Model? A plain-language explanation of LLMs: next-token prediction, parameters, training and limits. Beginner 15 min ✓
- 02 AI, Machine Learning, Deep Learning and Generative AI How the four terms nest inside each other, with one example of each. Beginner 10 min ✓
- 03 Prompting Basics: Getting Reliable Answers Clear instructions, examples, context and output formats — and where prompting stops helping. Beginner 15 min ✓
- 04 Why LLMs Hallucinate Where confident-but-wrong answers come from and practical ways to reduce them. Beginner 12 min ✎ In progress
Matching units in the new course
Each unit has goals, algorithms, must-read papers, a project and a self-test.
U00 What AI, ML, Deep Learning and LLMs Are One map of the AI family, and how an LLM “predicts the next token”. 3 h2 algorithms1 paperslesson ready U01 Prompting & Using AI Well Prompting techniques: role, context, examples, step-by-step thinking and structured output. 3 h3 algorithms1 paperslesson ready U02 Hallucination, Reliability & Limits Why models confidently make things up, and how to check and reduce the risk. 2 h2 algorithms1 papers