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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

61 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/

  • Milestone 1: AI Security Foundations & Governance (Weeks 1–4)

    Establish your role as AI Security Engineer at Cortexa AI Inc. Learn the foundational frameworks governing AI security — NIST AI RMF, ISO/IEC 42001:2023, and the EU AI Act. Classify Cortexa's AI systems, assess risk, and build the governance infrastructure that underpins everything that follows. 11 projects.

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  • Milestone 2: Offensive AI Security — Attacks & Exploitation (Weeks 5–10)

    Switch to attacker mindset. Use Microsoft PyRIT, manual prompt engineering, and adversarial ML tools (TextAttack, IBM ART) to exploit Cortexa's AI systems. Cover prompt injection, jailbreaks, model extraction, data poisoning, and adversarial examples. Document findings using MITRE ATLAS and OWASP LLM Top 10 2025. 13 projects.

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  • Milestone 3: Defensive AI Security — Controls & Hardening (Weeks 11–16)

    Build comprehensive defences for Cortexa's AI platform. Implement input/output guardrails, secure RAG pipelines, harden LLM APIs, deploy monitoring and anomaly detection, and establish supply chain security controls. Apply NIST AI RMF MANAGE function and ISO 42001 Annex A controls. 12 projects.

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  • Milestone 4: AI Security Operations & Compliance (Weeks 17–20)

    Operationalise AI security at Cortexa. Build a full AI security monitoring stack, develop and test incident response playbooks for AI-specific attacks, conduct compliance audits against ISO 42001 and EU AI Act, and prepare Cortexa for regulatory scrutiny. 13 projects.

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  • Milestone 5: Advanced Topics & Capstone (Weeks 21–24)

    Tackle the most advanced challenges in AI security. Assess emerging threats, lead a post-incident review, complete advanced Microsoft PyRIT red team labs, build an automated AI security testing pipeline, and deliver your capstone: a comprehensive AI security assessment report and live red team demonstration. 10 projects.

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Instructor :

Mahmoud Mohamed

Developer and Lead Instructor

  • 1489 Students
  • 48 Course(s)

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