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How to think about code as a complete beginner — the input-process-output mental model that makes AI coding assistants actually work for you. Day 1 of 5.
Master adversarial ML attacks in 2026. Adversarial examples, model evasion, black-box probing, gradient-free attacks and content moderation bypass…
Master AI red team operations in 2026. Threat modelling, scoping, attack execution planning, rules of engagement, evidence management…
How to use LLMs safely — verify outputs, protect your privacy, spot AI-generated scams, write better prompts. Day…
How LLMs are used in real apps — chatbots, coding assistants, search, voice AI and agentic systems explained…
Why LLMs make mistakes — hallucinations, bias, knowledge gaps and maths failures explained simply. Day 3 of the…
How LLMs learn from text — training data, tokenisation, parameters and knowledge cutoff explained for absolute beginners. Day…
What is a large language model? I explain LLMs in plain English — what they do, how ChatGPT…
Master LLM supply chain security in 2026. Hugging Face model poisoning, dependency confusion, plugin supply chain attacks, training…
Master professional AI security assessment report writing in 2026. Finding structure, CVSS for AI vulnerabilities, executive summaries, chain…
Master AI model fingerprinting in 2026. Identify hidden LLM backends, detect model versions, fingerprint embedding models and map…
Prompt defence and hardening explained — defensive system prompt design, input validation, output monitoring, context isolation, adversarial self-testing.…
LLM behaviour mapping explained — systematic probing, capability enumeration, model fingerprinting, tool discovery. Day 6 of the Prompt…
Master advanced RAG poisoning attacks in 2026. Embedding space manipulation, namespace bypass, filter evasion, persistent injection and cross-user…
Reverse prompting techniques explained — system prompt extraction, deployed LLM reconnaissance, boundary mapping. Day 5 of the Prompt…
Prompt injection attacks explained — direct injection, indirect injection, jailbreaking and defence bypass, with real examples. Day 4…
Advanced prompt engineering techniques — meta-prompting, tree of thought, self-consistency, prompt chaining, system prompt design. Day 3 of…
Master prompt structure for LLMs with this guide covering role prompting, context engineering, few-shot examples, output formatting and…
How LLMs process prompts explained simply — tokens, context window, system prompts, temperature. Day 1 of the Prompt…
Master advanced prompt injection chains in 2026. Multi-turn compliance escalation, context window poisoning, memory injection, persona anchoring and…
How to stay safe from AI threats — practical tips against AI phishing, deepfakes, voice fraud, and data…
How hackers attack AI systems — prompt injection, adversarial examples, jailbreaking and more, explained in plain language. Day…
Types of artificial intelligence explained simply — LLMs, computer vision, recommendation engines, voice AI and more. Each type…
How does AI learn? I explain training data, model building, and why what an AI learns shapes exactly…