Your cloud is exposed. Your AI is next.

Hands-on training for engineers who have to secure the AI their company ships. You attack a deliberately vulnerable AI app, then fix it: on your laptop first, then in AWS, Azure or Google Cloud.

Pre-sale opens 1 Nov. Founding price $99 until 30 Nov 2026, then $299.

An indirect prompt injection, stopped A hidden instruction in an untrusted PDF flows into the vector store, the model and the agent. A tool-call guardrail blocks it before the agent can use the MCP tool on the cloud account. your cloud Untrusted PDF Vector store Chat app Model Agent MCP tool IAM role Data store Tool call blocked
An instruction hidden in a PDF reaches the agent. A tool-call guardrail stops it before it touches your cloud. This is the kind of attack we teach you to break and fix.

AI Security Engineer

Defender-first and built from zero. One vulnerable AI app runs through the whole course: you break it, fix it and prove the fix, from the first module to the capstone.

  1. Foundations

    M0 to M2 How LLMs work, threat modelling

    You leave with a threat model of the course’s vulnerable AI app

  2. Break and fix any AI app

    M3 to M6 Prompt injection, data leaks, output handling, RAG

    You leave with a break-and-fix write-up with passing tests

  3. Agents and MCP

    M7 to M9 Agent tools, MCP servers, AI supply chain

    You leave with a hardened agent and MCP setup with a permissions review

  4. Secure AI in your cloud

    M10 to M16 Managed models, guardrails, agent runtimes, detection on AWS, Azure or Google Cloud

    You leave with hardened infrastructure code and detection rules for a cloud AI workload

  5. Prove it and go advanced

    M17 to M32 Red teaming, security evals in CI, governance, capstone

    You leave with a red-team report, a graded capstone and a certificate of completion

Built for SOC analysts, cloud and AppSec engineers, developers, GRC and platform teams. No AI or maths background needed.

See every lesson in the curriculumRead a free lesson

Free videos and notes

Cloud & AI Security in 5 Minutes: one real incident per episode, how it happened, and the fix.

All videosAll notesFree checklists

For teams shipping AI

App and agent security reviews, cloud AI platform security on AWS, Azure and Google Cloud, threat modelling and readiness plans. Every engagement is scoped by email first: tell us what you’re building, which cloud you’re on and your timeline. Team purchases of the course and invoices in your company’s name work the same way.

Email [email protected]

Questions

What is free, and what is paid?

Videos, notes, checklists and the free course lessons cost nothing. The full course is a one-time payment. Advisory work for teams is scoped by email.

Do I need an AI, machine-learning or maths background?

No. The course starts at “what is a token”, and every term gets a one-line plain meaning before it’s used. If you can follow a cloud console or a terminal, you can follow this.

Will the labs cost me money?

Every lab runs free on your laptop first. The cloud versions (AWS, Azure or Google Cloud) are optional; each prints its estimated cost before it deploys, uses budget alerts, and tears itself down.

Do you track visitors?

Only lightly, and Google only with your consent. Cloudflare Web Analytics counts page views without cookies. Google Analytics loads only if you click Accept on the cookie banner, and you can change that any time under Cookie settings. No advertising cookies. The privacy policy lists exactly what is stored, and why.

Are you affiliated with AWS, Microsoft or Google?

No. The Sec Guy is independent and not affiliated with or endorsed by AWS, Microsoft, Google or any other vendor named on this site.

Follow and ask

New episodes on YouTube, short reels on Instagram, and posts on LinkedIn, X and Threads.

Lab questions go to GitHub Discussions on the public lab repo. Anything else: [email protected].