INDEX

Website notes directory for my Generative AI & Agentic AI learning project.

Module 1 — AI Landscape & Transformation

Notes	Topic
M1-A - The Intelligence Stack	AI vs ML vs Deep Learning vs Generative AI, and how intelligence evolved from rules to agents
M1-B - Prompting as a Skill	Prompting as specification, not just asking
M1-C - Where AI Actually Matters	Where AI creates real leverage and where human judgment still matters

Module 2 — LLM Fundamentals

Notes	Topic
M2-A — What is Happening Inside AI	What is happening behind the scenes inside modern AI systems
M2-B — How AI Generates Answers	How token prediction, prompting, and generation work together
M2-C — Why AI Makes Mistakes	Hallucinations, confident errors, and context limits
M2-D — How to Use AI Correctly	Safe habits, good prompting, and correct AI usage
M2-E — Your Final Mental Model of AI	Final summary of how to think about AI correctly

Module 3 — Advance Prompt Engineering

Notes	Topic
M3-A - What is a Prompt?	What a prompt really is and how it controls model behavior
M3-B - Role-Based Prompting	Using roles to steer the model toward the right style and behavior
M3-C - Prompt Chaining	Designing multi-step prompt workflows for better output

Assignment 1 Prompt designer Extenstion
(Assignment 2 ) Linkedin evaluation with engineered prompt