🗣️ LLM BASICS FOR BEGINNERS FREE Course Hub → Day 2 of 5 · 40% complete There's a number I think about whenever someone asks me how LLMs got so good at sounding human. GPT-3, released in 2020, was trained on about 570 gigabytes of text. That's roughly 300 billion words. If you read for 12 hours a day, every day, it would take you about 34,000 years to read that much. GPT-4 was trained on even more. That scale…
Tuesday, July 14, 2026
Saturday, July 11, 2026
What Is a Large Language Model? Plain English Explained (2026)
🗣️ LLM BASICS FOR BEGINNERS FREE Course Hub → Day 1 of 5 · 20% complete ⚠️ For Learning Only. This course is about understanding how LLMs work. Understanding them makes you smarter and safer online — not a threat actor. You've probably used ChatGPT or heard someone talk about it. Maybe you've seen Gemini or asked Siri a question. But here's something most people can't actually explain: what is a large language model, and how does it produce answers…
How to Assess LLM Supply Chain Security in 2026 — Complete Attack Guide | AI LLM Hacking Course Day 26
🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 26 of 90 · 28.9% complete ⚠️ Authorised Targets Only: LLM Supply chain security assessment work — including scanning model files, auditing dependency trees, and testing plugin integrations — must be performed on systems within your authorised scope. Never download and scan third-party model files from production systems without the engagement team's agreement on handling procedures. A fintech client asked me to review the AI…
Thursday, July 9, 2026
How to Write a Professional AI Security Assessment Report — Complete Professional Guide | AI LLM Hacking Course Day 25
🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 25 of 90 · 27.8% complete The first AI security assessment report I delivered was technically thorough and practically useless. Fourteen findings, all individually correct, documented with Burp evidence and accurate CVSS scores. The client's head of engineering read the whole thing. His response: "Okay. So which of these should we fix first?" I hadn't answered that question. I'd given him a list. What he…
Wednesday, July 8, 2026
How to Fingerprint an Unknown AI Model | AI LLM Hacking Course Day 24
🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 24 of 90 · 26.7% complete ⚠️ Authorised Targets Only: AI Model fingerprinting through behavioural probing and timing analysis must only be performed against systems within your authorised scope. The techniques here are low-impact — they use standard queries — but confirm that all testing remains within scope boundaries. I was two hours into an AI assessment when I realised I'd been running entirely the…
Monday, July 6, 2026
Prompt Defence and Hardening — Building LLMs That Can’t Be Broken (2026) | Prompt Engineering Final Part
🧠PROMPT ENGINEERING & REVERSE PROMPTING FREE Course Hub → Day 7 of 7 · 🎉 100% complete Six days ago you understood that an LLM processes tokens through a context window. Now you understand how to engineer prompts that reliably shape model output, how to extract hidden system prompts through systematic probing, how to execute direct and indirect injection attacks, and how to build a behaviour map that prioritises attack vectors by impact. That's a complete offensive and engineering…
Saturday, July 4, 2026
How to do LLM Behaviour Mapping — Reverse Engineering AI System Design | Prompt Engineering Part 6
🧠PROMPT ENGINEERING & REVERSE PROMPTING FREE Course Hub → Day 6 of 7 · 85% complete The first thing I do in an LLM security assessment isn't injection testing. It isn't system prompt extraction. It's behaviour mapping. I spend the first session understanding exactly what I'm dealing with — what the model can do, what it can't, how it responds to different input types, whether it has tools, what base model it runs on, and where its constraint boundaries…
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