A beginner-friendly roadmap plus the core AI concepts - LLMs, AI Agents, AGI and more - explained simply, with diagrams.
Al can feel overwhelming - new tools, new jargon, new “must-know” terms every week. This ebook strips it down to what actually matters for a beginner: a simple 6-week path to get hands-on, and plain-English explanations of the concepts everyone throws around but rarely explains well.
Part 1 - Concepts AI, ML, LLMs, AI Agents, AGI and more - explained with simple diagrams. No PhD required.
Part 2 - Roadmap A realistic 6-week plan - what to learn, practice, and build, week by week.
How to use it
Who this is for: complete beginners, students, and early-career professionals who want to actually understand AI - not just use ChatGPT and hope for the best.
“AI” is an umbrella term. Most tools you use daily - ChatGPT, Claude, recommendation feeds - sit inside nested layers of technology. Here’s how they relate:

AI The broad goal: machines performing tasks that normally need human intelligence.
Machine Learning Systems that improve by learning from data instead of being manually programmed.
Generative AI Deep learning models that create new text, images, audio or code.
An LLM (like GPT or Claude) is a model trained on huge amounts of text to predict the next most likely word. Repeated billions of times, that simple trick produces fluent, useful answers.