The World Trusts AI
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The definitive AI security training platform. Hands-on labs, real vulnerable AI applications, and on-demand lab environments built by professionals who do this for a living.
Three ways in.
One world-class curriculum.
Every course offers a free demo webinar, a weekend bootcamp session, and a full 8-week programme. Start free. Go deeper when you are ready.
Demo Webinar
Get a hands-on taste of AI security. Each course starts with a free demo webinar covering fundamentals, live demos, and your first lab exercise.
- 4-6 hours of live, instructor-led training
- Introduction to core attack techniques
- 1 guided lab exercise on real AI systems
- Access to community discussion
- Participation certificate on completion
Bootcamp Session
Go deeper with a 2-day weekend bootcamp session. Hands-on labs, real attack scenarios, and structured exercises for a meaningful preview of the full course.
- 2-day weekend live sessions
- Multiple guided lab exercises
- Real-world attack & defense scenarios
- Direct instructor Q&A
- Participation certificate on completion
Full Course
The complete learning experience. 8 weeks of structured, lab-first training with on-demand lab access, real vulnerable AI applications, and two certificates on completion.
- 8 weeks of live weekend sessions (3 hrs each)
- 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.
Four courses. Every angle covered.
Each course runs 8 weeks with 3-hour weekend sessions, on-demand labs, and real vulnerable AI applications. Start with a free demo webinar.
AI Red Teaming Fundamentals
Master offensive AI security testing. Execute prompt injection attacks, extract model capabilities, jailbreak safety-aligned models, and deliver professional red team reports — all against real vulnerable AI applications.
AI Defense & Guardrails Engineering
Design and deploy production-grade guardrails, content filters, input validation pipelines, and safety systems for LLM-powered applications. Build defenses that hold up under real adversarial pressure.
Securing Agentic AI Systems
Deep-dive into autonomous AI agent architectures. Exploit tool poisoning, goal hijacking, memory injection, and multi-turn manipulation. The fastest-growing attack surface in AI — learn to break it and defend it.
AI SOC Operations
Build and operate AI-specific threat monitoring pipelines. Detect model abuse, inference attacks, data poisoning attempts, and prompt injection campaigns in real time. Staff your SOC for the AI era.
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.
100+ professionals
already signed up.
Seats are filling fast. Join the waitlist to get priority enrolment, early access pricing, and first entry to on-demand labs.
Every course starts with a free demo webinar — no commitment required.
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.
Fill in the waitlist form to reserve your seat. 100+ security professionals have already signed up and seats are filling fast. Waitlist members 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.