The World Trusts AI
We Train You to BreakDefendSecureGovern It
AI systems are being attacked right now. Most security teams have no idea how to test them. This is where you learn to change that. Start with a free live session.
Start free.
Go as deep as you want.
Every learning path starts with a free demo webinar. No commitment required. Go deeper with a focused bootcamp or the full flagship programme.
Demo Webinar
A live, instructor-led introduction to AI security. Covers the core attack and defense concepts with a guided lab exercise on a real AI system.
- 2 hours of live instruction
- Introduction to core AI attack techniques
- 1 guided lab exercise on real AI systems
- Access to community discussion
Bootcamp Session
A 2-day weekend deep-dive with multiple labs, real attack scenarios, and direct instructor interaction. The best preparation before the flagship programme.
- 2-day weekend live sessions
- Multiple guided lab exercises
- Real-world attack & defense scenarios
- Direct instructor Q&A
- Participation certificate on completion
Flagship Programme
The complete learning journey. 48 hours of lab-first training across 8 weekends, on-demand labs, real vulnerable AI applications, a full capstone project, and two certificates on completion.
- 8 weekend sessions (6 hrs each, 48 hrs total)
- Unlimited on-demand lab access
- Real-world vulnerable AI applications
- Hands-on projects and capstone exercise
- Participation certificate on completion
- Exam clearance certificate on passing final exam
100+ professionals already signed up. Seats are filling fast. reserve your seat now · attend the free webinar first
Three domains. One complete picture.
Attack it. Defend it. Govern it. The only training programme that takes you end to end across threat modeling, offensive security, defensive engineering, and compliance.
Offensive AI Security
Master the full offensive AI security toolkit. Execute prompt injection campaigns, exploit agentic systems, extract model capabilities, and deliver professional red team findings — against real vulnerable AI applications.
Defensive AI Security
Design and operate production-grade AI defenses. Build guardrails, validate inputs, implement behavioral monitoring, and harden AI systems against real adversarial pressure.
AI Security GRC
Implement AI governance, risk management, and compliance frameworks. Map controls to NIST AI RMF and ISO/IEC 42001, build AI risk registers, and establish audit-ready AI security posture.
Real vulnerable AI apps. On demand.
Cloud-isolated environments pre-loaded with real vulnerabilities. Spin up any lab, any time. Attack, analyze, repeat.
Prompt Injection Lab
Exploit a production chatbot to extract system prompts and bypass safety filters
Model Extraction Attack
Reconstruct model behavior through systematic query analysis and boundary mapping
AI Red Team Exercise
Full red team engagement against a multi-modal AI system with tool access
Agentic AI Hijacking
Compromise an autonomous AI agent by manipulating its tool calls and memory
Data Poisoning Defense
Detect and remediate training data poisoning in a deployed ML pipeline
LLM API Exploitation
Identify and exploit insecure LLM API integrations in a web application
Guardrails Bypass Lab
Circumvent production safety filters and content moderation systems on a live AI deployment
RAG Poisoning Lab
Inject malicious context into a RAG knowledge base to manipulate model outputs at query time
What practitioners are saying.
See it before you
commit to anything.
The free webinar is where everything starts. Watch real AI attacks happen live. No slides. No theory. No commitment.
If it resonates, the bootcamps and flagship programme are the next step. 100+ security engineers are already in the queue.
Questions we get asked a lot.
Everything you need to know before getting started with AI security training.
AI red teaming is the practice of probing AI systems, particularly large language models (LLMs), to find vulnerabilities, weaknesses, and misuse vectors before adversaries do. Unlike traditional penetration testing, AI red teaming covers prompt injection, model extraction, agentic hijacking, data poisoning, and jailbreaking. It matters because AI systems are being deployed in production at scale, and most organisations lack the expertise to evaluate their real security posture.
Prompt injection is an attack where a malicious input overrides or manipulates the instructions given to an LLM. Direct injection targets user-facing prompts; indirect injection embeds malicious content in documents, emails, or web pages the model processes. It is ranked #1 in the OWASP LLM Top 10 because it is easy to execute, difficult to fully defend against, and can lead to data exfiltration, safety filter bypass, and full system compromise in agentic deployments.
No. Our courses are built for security professionals, pentesters, red teamers, security engineers, and SOC analysts, who want to extend their skills to AI systems. You do not need a background in machine learning, data science, or statistics. If you understand how APIs work and are comfortable with a terminal, you have the prerequisites for most of our programmes.
Every course follows a three-tier model. Start with a free 4-6 hour demo webinar to experience the fundamentals. Continue with a 2-day weekend bootcamp session for deeper hands-on exposure. The full course runs 8 weeks with 3-hour live weekend sessions, unlimited on-demand lab access, real-world vulnerable AI applications, and a capstone project. You receive a participation certificate on completion, and an exam clearance certificate when you pass the final assessment.
Each course awards two types of certificates. A participation certificate is issued on completion of the full programme. An exam clearance certificate is awarded when you pass the final assessment, validating that you can apply the skills operationally. Both are issued by sudolearning and reflect real-world competency, not just seat time.
Traditional cybersecurity covers web vulnerabilities, network attacks, and software exploitation. AI security covers a fundamentally different attack surface: the model itself. Prompt injection exploits the blurred boundary between instructions and data. Model extraction reconstructs proprietary AI assets through query analysis. Agentic hijacking compromises autonomous AI agents through tool manipulation. These require understanding how language models work, knowledge traditional security training does not provide.
Lab environments are cloud-isolated, per-user instances pre-loaded with real AI vulnerabilities. You get full terminal and browser access with no shared environments. Labs are available on-demand, 24/7. Spin up whenever you want to practice. They include prompt injection against production-style chatbots, model extraction exercises, full red team engagements against multi-modal AI systems, agentic hijacking scenarios, RAG poisoning, and guardrails bypass challenges.
Register to reserve your seat. 100+ security professionals have already signed up and seats are filling fast. Early registrants receive priority enrolment, early access pricing, and first entry to on-demand labs. Every course starts with a free demo webinar, so you can try before you commit to the full programme.