The outcomes
What you will walk away with
Three artefacts you build and keep. One certificate to prove it.
Prompt-injection test-case library (template)
A fill-in table for logging authorised prompt-injection test cases against your own chatbot. Record each case with an ID, its type (direct or indirect), the pattern being tested, the target behaviour, the expected safe response, the actual result, and the defence that stopped it. Rerun the whole set after any change to the prompt, tools or retrieval pipeline so a regression is easy to catch.
Week 2Yours to keep
AI red-team report (template)
A fill-in report template for an LLM red-team assessment: scope and target, methodology and tools, an executive summary, and a per-finding block with an OWASP LLM ID, a MITRE ATLAS technique, severity, evidence, and a recommended mitigation.
Week 3Yours to keep
AI security capstone and interview pack (templates)
A two-part capstone pack: a briefed, authorised red-team exercise against an LLM support assistant with retrieval and a tool, with a findings-report format, OWASP LLM Top 10 and MITRE ATLAS mapping and a marking rubric; plus an AI security interview prep worksheet with a checklist, three STAR slots, topics to revise and questions to ask.
Week 4Yours to keep
Then the certificate that proves it all
Every artefact above rolls up into a verifiable credential with its own serial number and public verification page. Your board can check it. Anyone can.
The curriculum
What you learn, module by module
An orientation to AI security as a career: the attack surface, why large language models change the security model, the roles and pay on offer, and the skills employers are hiring for. By the end you can explain the field and see where you fit.
- AI security in ten minutes
- The AI security role and how to get in
Before you commit
Questions, answered
Start today. A full year of access.
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