See the course in action
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- All content hours, with no expiry
- CodeLab in the browser, nothing to install
- AI tutor available at any hour
- AI-graded exercises
- Final exam and verifiable certificate + an optional field challenge for the Field Practice Validated distinction
Final exam: 2 attempts, 70% pass threshold. After a second failed attempt, a deferral period applies before retrying, with a $10.99 retake fee — see the Terms of Service.
Lifetime access. No deadline: finish in 10 weeks or in ten months.
Cybersecurity & AI Security Specialist
Secure AI and LLM systems: attacks, defense and governance
- Level
- Intermediate to advanced
- Duration
- 10 weeks
- Total hours
- 55 h(estimated personal workload)
- Price
- $15
The program, module by module
- Module 1
Overview of AI Risks
Map the attack surfaces specific to AI and LLM systems, from user input down to the logs.
- Module 2
Prompt Injection and Jailbreaks
Recognise and analyse the techniques used to bypass an LLM, within a strict ethical and legal frame, on simulated targets.
- Module 3
Securing RAG Applications and Agents
Protect the data sources and tools exposed to an agent, from document ingestion down to function calls.
- Module 4
Data Leakage and LLM Privacy
Prevent the exposure of sensitive data through a prompt or an answer, by spotting leakage channels and putting guardrails in place.
- Module 5
AI Red Teaming
Carry out a structured offensive audit of an AI system, from the authorised test plan down to a usable findings report.
- Module 6
Detection and Defense (AI-Adapted SIEM)
Adapt incident detection to attacks specific to AI, from weak signals to the rules and dashboard of a SIEM.
- Module 7
Securing the MLOps Pipeline
Protect models, training data and deployment, from data collection down to the inference service.
- Module 8
Regulatory Framework and Governance
Connect the AI Act, the GDPR, the NIST AI RMF, ISO/IEC 42001 and national and regional frameworks from other continents with the technical security requirements of an AI system.
- Module 9
Case Study and Incident Simulation
Respond to a simulated AI security incident within a time limit: detect, contain, fix, then assess your decisions.
- Module 10
Final Project and Certification
Build and validate a mini-SOC with AI-assisted detection and analysis for a fictional telecom operator.
- Module 11
Career Entry and Certification
CertificationBuild a technical AI security portfolio and CV, and rehearse a red team interview that also tests the reflex of authorisation.
How long will it take me?
Duration: 55 h (estimated personal workload)
3 h/wk ≈ 19 wks
6 h/wk ≈ 10 wks
12 h/wk ≈ 5 wks
20 h/wk ≈ 3 wks
Estimates, not deadlines. Pause for a month and pick up where you left off.
CERTIFICATE VERIFIABLE ONLINE
What you deliver at the end
Build a technical AI security portfolio and CV, and rehearse a red team interview that also tests the reflex of authorisation.
See a sample certificateHow certification works
Three levels, from simplest to most demanding. Each one only claims what it actually verifies.
Attendance certificate
Earned by: Modules followed
Proves: You followed the track — no graded assessment.
Certificate of achievement
Earned by: Full track completed on the platform, final project included, and final exam passed
Proves: Your knowledge and your final project, evaluated by the platform.
Field Practice Validated distinction
Earned by: A field challenge completed after the exam, in a real situation, with evidence
Proves: A CoursTech mentor reviewed and validated a genuine real-world application.
The distinction is added to your certificate of achievement — it never replaces it: nothing off-platform ever blocks the certificate itself.
Mentor support and validation: handled on request, within 72 business hours. If no mentor is active, the distinction stays open for 12 months as planned: no learner is penalized.
Mentor sessions: limited spots, on request. Reply within 48 h.
See a sample certificate with the distinction →What your certificate proves →