Cybersecurity, learned like a practitioner.
24 learning paths · 398 modules live · every lesson written by someone who has shipped the control or run the engagement. Free to start.
AI Practitioner Path · modules
From "what is a token?" to "I can red-team production AI systems." Tokens, prompts, RAG, fine-tuning, AI security — security mindset baked in.
Module 1 · AI Foundations — Tokens, Context & Cost
How LLMs actually work — tokenisation, context windows, embeddings, and the cost economics every Indian practitioner needs to know.
Module 2 · Prompt Engineering for Practitioners
Beyond LinkedIn tips. Structured prompting, few-shot, JSON output, tool use, and how to ship reliable prompts that don't silently regress.
Module 3 · Building Production AI Apps with RAG
APIs, vector databases, chunking strategies, agents — the moment AI goes from toy to production. Includes Slack-bot RAG architecture.
Module 4 · Fine-tuning & Custom Models
When APIs aren't enough — train, evaluate, deploy custom models on your own infra. LoRA, vLLM, evals, and the cost trade-offs.
Module 5 · AI Security & Red Teaming
Attack and defend AI systems — the field almost no one teaches. OWASP LLM Top 10, prompt injection, jailbreaks, guardrails, RAG poisoning, model extraction.
Practitioners who've
shipped the controls.
Every module is written by someone who has built the defence or run the engagement. No repackaged tutorials, no generic theory.
Why learn here
Practitioner-written.
Each lesson is authored by someone who has shipped the control or run the engagement in production.
Quiz after every module.
20+ questions with explanations. 70%+ to mark complete. Unlimited retries.
Progress tracked.
Completions, scores and streaks saved automatically. Resume exactly where you left off.
India-priced.
Start free. ₹499/mo for intermediate. ₹4,999/yr for advanced. No hidden fees, ever.