The Building Blocks of AI.
Understand AI, machine learning, neural networks, and language models, one small idea at a time.
Read the room notesTask by task
- 01
Introduction
Start with a clear map of AI, machine learning, and the security questions they create.
- 02
Introducing TryHackMe's AI Agent Platform
Understand what an agent does and practise asking questions you can check.
- 03
What is AI and Machine Learning?
Follow an email detector from examples to predictions, and learn why testing matters.
- 04
Machine Learning Algorithms
Compare four ways to learn and understand where the learning signal comes from.
- 05
Neural Networks and Deep Learning
See how inputs, weights, layers, and feedback turn numbers into a prediction.
- 06
Large Language Models
Follow text through tokens, context, attention, and the steps used to generate a reply.
- 07
Practical
Replay the path from input to classification with an original small exercise.
- 08
Conclusion
Keep the core ideas together and practise explaining them without technical language.
Learning made visible.
This collection covers all eight tasks in The Building Blocks of AI and all seven tasks in AI Security Threats. Each note brings together plain-English explanations, examples, and sources.
First documented on . Expanded on .
How this notebook grows
New topics bring more explanations, examples, diagrams, and sources to the notebook.
Original learning notes by PromptExploit, with links to TryHackMe and additional references. This independent portfolio is not an official TryHackMe certificate.
Room notes expanded · 23 September 2026
Added AI-Enhanced Attacks, Defensive AI, Securing AI, Practical, and Conclusion. The notebook now contains fifteen task notes, including the ten supplied practical questions with explained answers and three new visual guides.
First study entry · 18 September 2026
Eight task notes for The Building Blocks of AI. Two task notes for AI Security Threats. Ten notes published.

