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This course includes:

  • 20605 days of study
  • 55 Assignment(s).
  • Access on mobile and Desktop
  • Certificate of completion

Step into the role of an AI Security Engineer at Cortexa AI Inc. and build a portfolio of 55 real-world AI security projects covering offensive attacks, defensive controls, governance compliance, and standards activities across 5 milestones over 24 weeks.

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Course content

59 section(s)

  • Welcome to the AI Security Professional: Practical Projects Platform 2026

    Your Employer: Cortexa AI Inc. — a fast-growing AI product company with 4 million users, building LLM copilots, RAG assistants, and autonomous AI agents at enterprise scale.

    Your Role: AI Security Engineer

    Job Description

    As an AI Security Engineer at Cortexa AI Inc., you are responsible for securing the full AI lifecycle from model development through deployment and monitoring. You will:

    • Conduct AI red team assessments using Microsoft PyRIT and manual techniques
    • Identify and mitigate OWASP LLM Top 10 vulnerabilities in production systems
    • Build and enforce AI governance frameworks (NIST AI RMF, ISO/IEC 42001:2023, EU AI Act)
    • Develop AI-specific security policies, risk registers, and incident response playbooks
    • Protect LLM pipelines against prompt injection, data poisoning, and adversarial attacks
    • Implement defensive controls including input/output validation, monitoring, and access management

    Platform Structure

    This platform contains 55 hands-on projects across 5 milestones spanning 24 weeks: M1 Foundations (Wks 1-4), M2 Offensive AI (Wks 5-10), M3 Defensive AI (Wks 11-16), M4 SecOps & Compliance (Wks 17-20), M5 Advanced & Capstone (Wks 21-24).

    Lab Access

    • PyRIT: https://github.com/Azure/PyRIT
    • MITRE ATLAS: https://atlas.mitre.org
    • OWASP LLM Top 10 2025: https://owasp.org/www-project-top-10-for-large-language-model-applications/
    • AI Security toolkit: AI_Security_Toolkit
    • Programme AISP_Handbook.pdf

  • MILESTONE 1 — Foundation, Governance & Lab Setup (Weeks 1–4)

    Establish your role as AI Security Engineer at Cortexa AI Inc. Build the company's AI asset inventory, learn the foundational frameworks — NIST AI RMF, ISO/IEC 42001 — and set up your own AI security lab. 6 projects.

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  • MILESTONE 2 — Offensive AI Red Teaming (Weeks 5–9)

    Put on the attacker's hat. Run real prompt injection, jailbreak, and metaprompt extraction attacks against Cortexa's AI systems in a live playground, then automate it with Microsoft's own red-team tool, PyRIT. 8 projects.

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  • MILESTONE 3 — Adversarial ML, Supply Chain & Threat Modeling (Weeks 10–14)

    Go deeper than prompts — attack the models themselves. Test adversarial robustness, hunt for backdoors, and secure the AI supply chain from data poisoning to third-party model vetting. 9 projects.

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  • MILESTONE 4 — Defensive Controls, Monitoring & AI Governance/Compliance (Weeks 15–19)

    Switch from attacker to defender. Build real prompt injection defenses and an AI firewall, deploy AI-enriched SIEM monitoring, and bring Cortexa into compliance with NIST AI RMF, ISO 42001, and the EU AI Act. 9 projects.

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  • MILESTONE 5 — Advanced Operations & Capstone (Weeks 20–24)

    Bring it all together. Write the incident response plan, research emerging AI worm threats, automate security testing in CI/CD, and close the programme with a capstone report and a live demonstration to leadership. 5 projects.

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Instructor :

Mahmoud Mohamed

Developer and Lead Instructor

  • 1736 Students
  • 48 Course(s)

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