This course contains the use of artificial intelligence.

Step into one of the fastest-growing career paths in technology with Agentic AI Security & LLM Governance Career Bootcamp, a comprehensive, hands-on program designed to help you secure, monitor, govern, and lead modern artificial intelligence systems.

As organizations adopt Generative AI, Large Language Models, Retrieval-Augmented Generation, and autonomous AI agents, traditional cybersecurity practices are no longer enough. AI applications introduce new risks, including prompt injection, jailbreak attacks, document poisoning, memory manipulation, unauthorized tool execution, sensitive data exposure, hallucinations, and uncontrolled agent behavior. This course gives you the practical skills required to understand these threats, attack vulnerable systems responsibly, implement effective defenses, and establish enterprise-grade governance controls.

You will begin with the core responsibilities of a Principal AI Security Engineer, including secure AI architecture, risk assessment, enterprise controls, technical leadership, and communication with executives, legal teams, auditors, and product leaders. You will then build your own AI chat assistant and progressively enhance it with RAG, tool calling, persistent memory, and autonomous agent capabilities.

Throughout the course, you will test real-world AI attack scenarios and implement practical defenses such as prompt validation, risk scoring, input filtering, output guardrails, context isolation, trusted-source validation, least-privilege tool permissions, human approval workflows, secure memory controls, and agent decision validation. You will also build a complete AI Security Gateway that integrates security across prompts, models, retrieved documents, tools, memory, and agent workflows.

The governance portion of the course takes you beyond security engineering into enterprise AI governance, responsible AI, AI risk management, and regulatory compliance. You will learn how to create an enterprise AI inventory, track usage and cost, evaluate model performance, monitor drift, govern prompts and responses, oversee agent actions, protect sensitive data, and manage governance evidence.

You will build dashboards and practical projects covering AI risk scoring, model evaluation, hallucination monitoring, prompt traceability, human oversight, RAG governance, policy management, compliance mapping, approval workflows, incident management, audit trails, and executive reporting. You will also learn how to align operational controls with major frameworks and standards, including the NIST AI Risk Management Framework, ISO/IEC 42001, and the EU AI Act.

By the end of the course, you will have created a portfolio of hands-on AI security and governance projects, including an AI security gateway, risk remediation engine, model evaluation dashboard, agent activity monitor, guardrail enforcement service, incident center, and an Enterprise AI Governance Command Center.

This bootcamp is ideal for cybersecurity professionals, AI engineers, developers, architects, governance specialists, auditors, consultants, risk leaders, and career changers preparing for roles such as AI Security Engineer, LLM Security Engineer, Principal AI Security Engineer, AI Governance Specialist, Responsible AI Lead, or AI Risk Manager.

Build the technical, governance, and leadership skills required to secure the next generation of intelligent systems.