Secure AI Engineering
Build and secure AI systems — the #1 skills gap.
Secure AI Engineering is the discipline of building and defending AI systems — and it sits on the single largest cybersecurity skills gap in the market. This cohort-based track takes engineers from confident AI use to securing and operating AI in production.
The track at a glance
| Stage | Focus | You leave able to |
|---|---|---|
| 1 · Foundational | Applied AI & Agentic Systems for Engineers | Drive AI tools (Claude Cowork/Code, LLMs, RAG) safely in real engineering work with structured prompting and guardrails. |
| 2 · Specialization | AI/LLM Security & Secure AI Infrastructure | Threat-model and secure LLM apps, RAG pipelines, agents and MCP against prompt injection, data exfiltration and misuse. |
| 3 · Certification | Production AI (MLOps/LLMOps) & AI-Security credential | Deploy, monitor and govern AI in production, and sit an AI-security credential (e.g. ISACA AAISM). |
Stage 1 — Applied AI & Agentic Systems for Engineers
A hands-on foundation in using generative and agentic AI the way senior engineers do: structured prompting, agentic workflows with tools like Claude Cowork and Code, retrieval-augmented generation (RAG) basics, and the guardrails that keep AI use safe and repeatable. Built on a proven structured-prompt framework, not toy demos.
Stage 2 — AI/LLM Security & Secure AI Infrastructure
The specialization: securing LLM applications, RAG pipelines, agents and the Model Context Protocol (MCP). Covers AI threat modeling, the OWASP LLM Top 10, prompt-injection and data-exfiltration defenses, access control for tools and data, guardrails, and evaluation harnesses that prove a system is safe before it ships.
Stage 3 — Production AI (MLOps/LLMOps) & AI-Security Credential
Operate AI at scale and safely: deployment patterns, monitoring and observability, evaluation in production, cost and drift management, and AI governance. Culminates in preparation toward a recognised AI-security credential (for example ISACA's AAISM), for which your CISM background is a natural fit.
Roles you'll be ready for
AI/LLM Security Engineer, Secure AI Infrastructure Engineer, and MLOps/LLMOps Engineer — among the fastest-growing, highest-premium roles in tech.
Why now
Agentic-AI job postings grew roughly 280% year over year, generative-AI engineering roles multiplied 7–9× in two years, and AI skills carry a documented wage premium of 15–40%. Yet AI security is the number-one reported skills gap — and almost no one delivers it as a tailored, live, practitioner-led cohort.
Frequently asked questions
Who is this track for?
Software, cloud, platform, data and security engineers who want to build and secure AI systems — and GRC professionals moving into hands-on AI security. No data-science PhD required.
How is it delivered?
Live-virtual, instructor-led cohorts led by active practitioners, with foundational prep you can start immediately. New cohorts begin monthly; the next starts 31 August 2026.
Do I take all three stages?
You can take stages individually or as a discounted full-track bundle. Most engineers start at Stage 1 and progress to the AI-security credential.
Start the track
Cohort-based and live-virtual. Begin foundational prep now and join the next monthly cohort.
Next cohort: monthly (next 31 Aug 2026)
Live virtual, instructor-led
Per stage / full track: Request a quote
RegisterRequest a Quote