Free Udemy Course __ AI Security, Governance & Compliance

Design, deploy, and govern secure, compliant AI systems used in real enterprisesTotal:

4.5 (1,000+ students enrolled) English
Other Network Security
AI Security, Governance & Compliance

What You'll Learn

  • Design secure and compliant AI systems by identifying AI-specific risks, threat models, and failure modes across the full AI lifecycle.
  • Apply AI governance frameworks in real enterprise environments, including defining ownership, approval workflows, documentation standards, and operating models
  • Secure Generative AI and LLM-based applications using guardrails, prompt isolation, retrieval validation, and human-in-the-loop controls.
  • Prepare AI systems for audits and regulatory review by producing audit-ready evidence, traceability, and documentation aligned with global regulations.
  • Manage privacy, consent, and data protection risks in AI systems, including PII handling, data retention, and cross-border data considerations.
  • Respond effectively to AI incidents and failures, including hallucinations, abuse, security breaches, and autonomous agent failures.
  • Evaluate and mitigate risks in autonomous and agentic AI systems, including kill-switch design, rollback strategies, and operational safeguards.
  • Communicate AI risk, governance, and compliance decisions confidently to technical teams, auditors, regulators, and leadership.

Requirements

  • No prior knowledge required
  • A computer with internet access
  • Eagerness to learn

Who This Course is For

  • AI Engineers, ML Engineers, and GenAI Developers who want to understand the security, governance, and risk implications of production AI systems.
  • Security, Risk, and GRC professionals who need practical insight into how AI systems introduce new threat models and compliance challenges.
  • AI Product Managers and Technical Product Owners responsible for launching AI-powered features safely and responsibly.
  • Platform, MLOps, and Infrastructure Engineers supporting AI systems in production.
  • Architects and Technical Leaders designing enterprise AI platforms and operating models.
  • Professionals working with LLMs, RAG systems, or autonomous agents who want to avoid common failures and audit issues

Your Instructor

Experienced Instructor

Professional Educator

An experienced instructor with expertise in this field and a passion for teaching.

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