AI Security & Governance Masterclass: Build, Attack & Defend

AI Security & Governance Masterclass: Build, Attack & Defend – taught by Arjun Vaid, is a comprehensive Udemy online course that equips learners with hands‑on skills to design, attack, secure, monitor, and govern modern AI applications. Updated July 2026, the masterclass targets the booming demand for free AI security course resources, covering generative AI threats, LLM‑specific OWASP controls, and enterprise‑grade governance frameworks. By the end of the program, students can build secure AI systems, implement robust guardrails, and map controls to NIST, ISO/IEC 42001, and the EU AI Act—making it ideal for professionals seeking certification‑ready expertise.

What You'll Learn

• Build secure AI applications using Python, Ollama, Retrieval‑Augmented Generation (RAG), tool‑calling, memory, and autonomous agents.
• Master the AI threat landscape, including prompt injection, jailbreaks, document poisoning, and memory manipulation.
• Learn how to apply the OWASP Top 10 for LLM applications to real‑world AI systems.
• Understand prompt validation, risk scoring, guardrails, content filtering, and policy enforcement techniques.
• Create an integrated AI Security Gateway that protects prompts, RAG pipelines, tool usage, memory, and agent actions.
• Implement secure AI tool usage with input validation, least‑privilege permissions, and human‑approval workflows.
• Apply NIST AI RMF, ISO/IEC 42001, and the EU AI Act to map AI controls and generate compliance evidence.
• Develop an Enterprise AI Governance Command Center featuring audit trails, incident dashboards, risk metrics, and executive reporting.

Course Details

• Instructor: Arjun Vaid
• Rating: 4.5 stars (based on student reviews)
• Language: English (en‑US)
• Certificate: Yes, upon completion
• Includes: Project‑based labs, Docker deployment guides, governance dashboard templates

What This Course Covers

Threat Landscape & OWASP for LLMs

• Overview of major AI security threats across chatbots, RAG systems, tools, memory, and autonomous agents.
• Detailed walkthrough of the OWASP Top 10 for LLM applications and its relevance to generative AI.
• Real‑world examples of prompt injection, jailbreaks, and document‑poisoning attacks.
• Strategies for threat modeling and risk assessment specific to AI workloads.

Secure Development with Python & Ollama

• Setting up Python, Visual Studio Code, Git, and Ollama for AI development.
• Building a vulnerable AI chat assistant and exposing its attack surface.
• Implementing input validation, least‑privilege permissions, and sandboxed execution.
• Deploying secure containers using Docker for isolated AI environments.

Retrieval‑Augmented Generation (RAG) Security

• Constructing a full‑stack RAG pipeline with vector stores and external document sources.
• Performing malicious document injection and context poisoning attacks.
• Applying trusted‑source validation, content sanitization, and isolation techniques.
• Monitoring RAG drift and establishing automated risk‑scoring engines.

Autonomous Agent Guardrails

• Designing autonomous agents capable of planning, reasoning, and tool usage.
• Demonstrating memory‑poisoning attacks and unauthorized action exploitation.
• Enforcing human‑in‑the‑loop approvals, action validation, and audit logging.
• Observability patterns for agent decision‑making and compliance reporting.

Enterprise AI Governance & Compliance

• Building AI inventories, usage dashboards, cost analytics, and risk‑scoring models.
• Mapping controls to NIST AI RMF, EU AI Act, and ISO/IEC 42001 standards.
• Creating policy management workflows, evidence collection, and model‑card generation.
• Assembling an AI Governance Command Center with incident response, remediation, and executive KPIs.

Who Should Take This Course

• AI engineers and machine‑learning developers building production LLM or RAG applications.
• Python developers and software engineers who need to secure tool‑calling and autonomous agents.
• Cybersecurity professionals expanding their skill set to include generative‑AI threat mitigation.
• Governance, risk, and compliance (GRC) specialists responsible for AI policy, audit, and regulatory mapping.
• Enterprise architects and technology leaders overseeing AI platform security and observability.

Prerequisites

• Basic proficiency in Python programming and familiarity with version‑control (Git).
• Understanding of fundamental cybersecurity concepts such as input validation and least‑privilege access.
• Recommended: prior exposure to Docker containers and cloud‑based AI services (optional but helpful).

Why Enroll in This Course

This masterclass delivers a hands‑on, project‑driven learning experience that bridges AI development and security in a single curriculum. A free coupon provides 100 % off for a limited time, making the high‑value training accessible while the offer lasts. Compared with generic AI tutorials, this course uniquely combines attack simulations, defense engineering, and enterprise governance, preparing learners for real‑world AI risk management roles.

Course Highlights

• Lifetime access to all video lectures, labs, and downloadable resources.
• Self‑paced format lets you progress while balancing work or study commitments.
• Certificate of completion that can be added to LinkedIn or a professional portfolio.
• Docker‑based deployment guides ensure you can replicate secure environments locally.
• Governance dashboard templates accelerate compliance reporting for NIST, ISO, and EU AI regulations.
• 30‑day money‑back guarantee for risk‑free enrollment (subject to Udemy policies).

Frequently Asked Questions

Q: Is this course really free?
A: Yes, a free coupon grants 100 % off the regular price, allowing you to enroll at no cost while the promotion remains active. The coupon is applied during checkout on Udemy and does not require any hidden fees.

Q: What will I learn in this AI security course?
A: You will learn to identify AI‑specific threats, build and harden LLM‑driven applications, implement OWASP controls, secure tool‑calling and memory, and construct enterprise‑grade governance dashboards aligned with major regulatory frameworks.

Q: Do I get a certificate after completing this course?
A: Upon finishing all required lectures and assignments, Udemy issues a certificate of completion that you can share on professional networks or include in your résumé.

Q: Is this course suitable for beginners?
A: The curriculum assumes basic Python knowledge and fundamental cybersecurity concepts; however, the instructor provides step‑by‑step setup guidance, making it approachable for motivated beginners who meet the prerequisites.

Q: How long do I have to enroll for free?
A: The free coupon is available for a limited period, typically a few weeks, after which the course returns to its standard price. Enroll promptly to secure the 100 % discount before the offer expires.

Final Thoughts

AI Security & Governance Masterclass: Build, Attack & Defend offers a rare blend of offensive and defensive AI training, perfect for engineers, security analysts, and compliance leaders seeking practical, certification‑ready skills. Enroll now, claim the free coupon, and start building secure, governed AI systems that meet today’s regulatory demands.