Generative and Agentic AI for Cybersecurity Professionals

This intensive five-day live boot camp is tailored for cybersecurity professionals looking to deepen their understanding of generative AI and agentic AI systems, particularly as they relate to cybersecurity applications. The course places a strong emphasis on identifying risks and developing effective defensive strategies against evolving cyber threats.

Throughout the boot camp, you will receive a comprehensive, hands-on learning experience that covers cutting-edge topics such as machine...

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5 Days
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CSU Channel Islands

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Generative and Agentic AI for Cybersecurity Professionals

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Course code: LBC119

What you will learn

  • Design and implement agentic AI systems and autonomous security workflows with human oversight
  • Build AI-powered threat hunting, incident response, anomaly detection, malware detection, and reporting capabilities
  • Apply prompt engineering, AI red teaming, prompt injection, training data poisoning, model extraction, and other adversarial AI techniques
  • Perform AI-assisted memory forensics and apply AI governance, compliance, and security program controls

How you will benefit

  • Gain hands-on experience applying generative and agentic AI to real cybersecurity workflows
  • Develop practical capability to build, integrate, test, and monitor AI-enabled security systems and agents
  • Improve readiness to identify and defend against AI-specific attack techniques and failure modes
  • Build cross-functional AI security skills spanning operations, engineering, forensics, threat hunting, governance, and compliance

How the course is taught

  • Live Online, Instructor-Moderated
  • 5 Days to complete Boot Camp
  • 90-day extended access to all boot camp materials
  1. AI Fundamentals for Cybersecurity
    1. Machine Learning, Deep Learning and Neural Networks
    2. Generative AI - LLMs, Diffusion Models and GANs
    3. Agentic AI and Multi-Agent Architectures
    4. AI/ML Data Preprocessing, Anomaly Detection, Transformers and RAG
  2. Generative AI Applications
    1. Security Operations Use Cases
    2. LLM Customization and AI-Powered Chatbots
    3. Advanced Prompt Engineering and AI Red Teaming
  3. Agentic AI Systems and Autonomous Threat Response
    1. Agent Frameworks, Tool Use and API Integration
    2. Autonomous Detection, Analysis, Response and Human Oversight
    3. Prompt Injection and Adversarial Prompting
  4. AI Attack Surface and Memory Forensics
    1. Data Poisoning, Model Extraction, Token Inference and Hallucination Exploits
    2. Memory Acquisition and Volatility-Based Analysis
    3. AI-Assisted Threat Hunting and Advanced Persistence Analysis
  5. AI Governance and Compliance
    1. Governance Frameworks and Regulated-Industry Requirements
    2. Audit Trails, Explainability, Privacy-Preserving AI and Program KPIs
    3. Future Trends
  6. Skills Verification Hands-On Assessment and Course Wrap-up
Boot camps are led by instructors that have years of industry experience and are recognized as subject matter experts.
Prerequisites:

2+ years of cybersecurity experience; basic understanding of machine learning concepts; familiarity with scripting (Python preferred); and understanding of common attack vectors and defensive frameworks. Lab prerequisites include basic AWS CLI and console familiarity, Docker container experience, Python programming skills, and Linux command-line proficiency. 

Requirements:

Hardware Requirements:

  • This course can be taken on either a PC, Mac, or Chromebook.

Software Requirements:

  • PC: Windows 10 or later.
  • Mac: macOS 10.6 or later.
  • Browser: The latest version of Google Chrome or Mozilla Firefox is preferred. Microsoft Edge and Safari are also compatible.
  • Microsoft Word Online
  • Adobe Acrobat Reader
  • Software must be installed and fully operational before the course begins.

Other:

  • Email capabilities and access to a personal email account.

Instructional Material Requirements:

The instructional materials required for this course are included in enrollment and will be available online.

This generative AI for cybersecurity training builds practical skills in agentic AI systems, AI threat hunting, incident response, autonomous security workflows, adversarial AI techniques, memory forensics, and AI governance.

Yes. This AI security boot camp is designed for experienced cybersecurity professionals and recommends at least two years of cybersecurity experience, along with familiarity with scripting, Linux, common attack vectors, and defensive practices.

No. The program focuses on hands-on generative AI security and agentic AI cybersecurity skills rather than preparation for a specific certification exam.

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