Generative and Agentic AI for Cybersecurity Professionals

Develop hands-on proficiency with generative AI and agentic AI for cybersecurity, including machine learning, AI-powered security operations, adversarial AI, autonomous workflows, memory forensics, and AI governance.
Generative-Agentic-AI-Cybrscrty-Pro-BootC
$3,995.00 (USD)

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Overview

Objective

Outline

  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

Requirements

Prerequisites

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