AI Security & Governance Masterclass: Build, Attack & Defend

Source: https://www.udemy.com/course/ai-security-governance-masterclass-build-attack-defend/

What you’ll learn

• Identify major AI security threats across chatbots, RAG systems, tools, memory, and autonomous agents.
• Build and secure AI applications using Python, Ollama, RAG, tool calling, memory, and agents.
• Perform and defend against prompt injection, jailbreaks, document poisoning, and memory poisoning.
• Apply the OWASP Top 10 for LLM Applications to real-world AI systems.
• Implement prompt validation, risk scoring, guardrails, content filtering, and policy enforcement.
• Secure AI tool use with input validation, least-privilege permissions, and human approval workflows.
• Build an integrated AI Security Gateway for prompts, RAG, tools, memory, and agent actions.
• Create AI governance dashboards for inventory, usage, cost, risk, evaluation, drift, and compliance.
• Map AI controls to NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
• Build an Enterprise AI Governance Command Center with audit trails, incidents, controls, evidence, and executive metrics.

Requirements

• No prior AI security or AI governance experience is required.
• Basic computer skills and a willingness to learn through hands-on projects.
• Some familiarity with Python is helpful, but beginners can follow the guided demonstrations.
• A Windows, macOS, or Linux computer capable of running Python development tools.
• Permission to install Python, Visual Studio Code, Git, Ollama, and Docker.
• Basic understanding of AI, chatbots, or generative AI is useful but not mandatory.
• An interest in cybersecurity, AI development, governance, risk, or compliance.
• Internet access may be required for downloading software, libraries, and course resources.

It’s not my rip

Password: cms.ddpanda.org