Practitioner AI for engineers who ship.
And the security mindset to keep it honest.
RingSafe AI is a working library — tracks, modules, and labs for engineers, security practitioners, and technology leaders building or defending AI systems in India. Every module is authored by someone who has shipped the control or run the engagement.
Where do you want to start?
Five entry points. Pick the one closest to your goal — every other section is reachable from there.
Learn
Five tracks · career path · 39 modules live
Jump → 02Defend
OWASP LLM Top 10 · red team · India compliance
Jump → 03Build
Hands-on labs · prompt injection sandbox · RAG
Jump → 04Latest
2026 trends · new attack tooling · what's next
Jump → 05For teams
Enterprise · certifications · custom programmes
Jump →Five tracks. Two live today.
Pick a track based on what you do next week, not five years from now. Tracks marked Coming soon have curricula written and modules being authored.
AI Fluency
Tokens, embeddings, context windows. Mental models that demystify every LLM you will ever use.
AI Practitioner
Build with AI: prompts, RAG, agents, fine-tuning, deployment. Ship real systems, not demos.
AI Security
Prompt injection, data poisoning, model extraction, agent abuse. The cybersecurity-of-AI skillset Indian SaaS needs.
AI Engineering
LLMOps: vLLM, serving, quantization, GPU cost engineering, observability, scale.
AI Governance
ISO/IEC 42001, NIST AI RMF, DPDP × AI, RBI directions, EU AI Act for engineering teams.
A five-step path from zero to red-team practitioner.
One module per level marks the capstone. Take the side modules along the way; ship the capstone before moving up.
Every LLM vulnerability, mapped to a module.
Tap a tile to open the deep dive. Items marked writing are being authored next.
Hands-on, not hand-wavy.
Each lab opens in a real module with copy-paste-ready steps. No cloud sandbox required — laptop and a free LLM is enough to start.
Break this chatbot — prompt injection sandbox
Try direct, role-play, and context-leak injections against a deliberately weak support bot. Open browser, no install.
Build · 30 minRun your own LLM with Ollama + RAG in 30 minutes
Self-host Llama 3.1 8B, wire it to a vector DB, ask grounded questions. Laptop-only, ₹0 cost.
Red Team · 25 minRAG security: poison a vector index, watch retrieval fail
Inject crafted documents into a Chroma store; observe ranking hijacks and embedding inversion.
Build + Red · 40 minMCP server from scratch — and break it
Build a minimal MCP server in Python, then exploit a confused-deputy flaw via a malicious tool description.
Red Team · 50 minRun garak + PyRIT against an LLM endpoint
Set up two industry red-team harnesses, scan a hosted model, triage results into an OWASP-mapped report.
Defend · 35 minDetect prompt injection in production logs
Build a signature + classifier pipeline that flags injection attempts. Includes a labelled corpus.
The latest in AI — 2026 & what's next.
The newest practitioner explainers — agentic AI, the 2026 frontier models, prompt-injection & the OWASP Agentic Top 10, and AI attack tooling — as they land.
AI Tool Integrations Expose New Attack Surface: Inside MCP Security Risks
ISO 42001 Certification in India: The 2026 AI Management Guide
AI Phishing in 2026: How Indian Organisations Must Defend
EU AI Act 2026 Compliance: The August Deadline and What Indian Firms Must Do
Enterprise AI Security Checklist 2026: A Practical Guide for Indian Teams
India AI Rules 2026: Deepfake Labelling, DPDP and What Compliance Now Demands
Enterprise and certifications
Bring AI safely into regulated environments.
AI SOC, governance, ISO/IEC 42001, DPDP × AI, model risk management. Custom programmes for BFSI, healthcare, and public sector teams.
Talk to the team →Earn a verifiable practitioner credential.
Four certifications planned — AI Practitioner, AI Security Practitioner, AI Governance, AI Engineer. Each requires a capstone deliverable. Verification is public.
See certifications →Common questions, direct answers.
Who is RingSafe AI for?
Working engineers, security practitioners, and technology leaders in India who want to build with AI safely. Tracks are practitioner-grade, not introductory marketing — every module assumes you can run code and read a system design.
Do I need a prior ML background to start?
No. The AI Fluency and AI Practitioner tracks start from working knowledge of Python and basic web development. Mathematics is introduced where it changes practical decisions, not for its own sake.
How is AI Security different from generic AI courses?
AI Security focuses on prompt injection, model extraction, data poisoning, agent abuse, RAG attacks, and supply-chain risks — mapped to OWASP LLM Top 10 and MITRE ATLAS. Every module includes attack and defense playbooks usable in real engagements.
What is the India context?
DPDP Act 2023, RBI advisories on AI, SEBI cyber resilience for regulated entities, CERT-In directions, and IndiaAI compute realities. Where global frameworks (NIST AI RMF, ISO 42001) intersect with Indian compliance, both are covered.
Is the content free?
All AI Fluency and most AI Security modules are free. Advanced labs, certifications, and the Pro CTF environment are paid. The roadmap stays fully visible regardless of tier.
What about certifications?
Four practitioner certifications are planned: RingSafe Certified AI Practitioner (RC-AIP), AI Security Practitioner (RC-AISP), AI Governance (RC-AIG), and AI Engineer (RC-AIE). Each requires a capstone deliverable; verification is public.