AI Security
Defending LLM applications and agents against prompt injection, jailbreaks, and the OWASP Top 10 for LLMs.
One-time course fee
Who should take this?
Security, QA, engineering, governance, and risk professionals working with model-enabled applications.
Capability developed
Test, threat-model, evaluate, and harden AI systems before and after release.
Professional application
AI quality assurance, security review, red teaming, governance, or release-readiness work.
What’s inside this track
- 1The LLM Threat Landscape
Build: A threat model for a real (or sample) AI application.
Evidence: Knows what to actually worry about versus security theater.
- 2Attacking Your Own Systems
Build: Run a structured red-team pass against a sample LLM app.
Evidence: Has actually broken an AI system, not just read about how it's done.
- 3Defense-in-Depth
Build: Patch the vulnerabilities found in Week 2 with layered defenses.
Evidence: Can defend a system, not just diagnose it.
- 4Governance & Review Process
Build: Capstone: a full AI security review checklist and report for a real application.
Evidence: Can run a credible AI security review a client or employer will actually trust.
What you get
What you will own
Not a promise — a concrete list of what you personally build and can show a buyer, pulled from this course’s real curriculum.
- A working project: A threat model for a real (or sample) AI application.
- A working project: Run a structured red-team pass against a sample LLM app.
- A working project: Patch the vulnerabilities found in Week 2 with layered defenses.
- A working project: Capstone: a full AI security review checklist and report for a real application.
- A completed capstone: Comprehensive AI Security Review and Mitigation Report, scored across multiple dimensions
- A portfolio entry documenting how you built it, not just that you finished
- Verified skill evidence — tied to real work, not a self-rating
What you’ll prove — and own — by the end
Completion isn’t the finish line. This is what turns the course into evidence you can actually use.
Personalised from day one
A short entry diagnostic flags which modules to move through quickly and which to slow down on — the full curriculum stays available either way.
Evidence, not checkmarks
Skills track through a real mastery ladder — module completed, exercise practiced, project shipped — not just “lesson viewed.”
Your Final real-world project, AI-defended
Comprehensive AI Security Review and Mitigation Report — submit real work, defend your decisions to an AI interviewer, get scored feedback across multiple dimensions.
A portfolio you can use today
Turn a finished project into a case study, resume bullets, and an interview story — drafted from your real work, yours to review before you use it anywhere.
Connect this course to practical work
See how Ropes links a skill to a business problem, portfolio proof, a bounded service, and responsible client delivery. No client or income outcome is guaranteed.
Earnings potential
A simple illustration of how freelancers commonly structure retainer pricing once they’re taking on client work.
Security review retainer
Illustrative example — your results will vary based on niche, effort, and client base.
Industry snapshot
Real, sourced research — current tools, market signal, and named case studies, each with a citation. Not marketing copy.