AI+ Security Practitioner™

Módulos

• Module 1: Computing, Linux, and Operating System Foundations:
  1. You will learn about computer systems, operating systems, Linux administration, file systems, commands, user management, permissions, authentication, and access control concepts.
• Module 2: Networking Fundamentals and Traffic Analysis:
  1. You will learn networking concepts, IP addressing, protocols, TCP/IP communication, DNS, network security, traffic analysis, firewalls, IDS/IPS, and VPN technologies.
• Module 3: Python for Security and Automation :
  1. You will learn Python programming fundamentals and how to use scripting for security automation, log analysis, data processing, and efficient security workflows.
• Module 4: Cybersecurity Foundations and Threat Landscape:
  1. You will learn cybersecurity principles, risks, vulnerabilities, attack surfaces, security controls, common cyber threats, and industry security frameworks.
• Module 5: Cryptography, Authentication, and Identity Security :
  1. You will learn encryption, hashing, digital signatures, TLS security, authentication methods, identity management, access controls, and identity protection practices.
• Module 6: Introduction to Artificial Intelligence and Machine Learning :
  1. You will learn AI, ML, and Deep Learning fundamentals, learning approaches, ML lifecycle, datasets, model evaluation, and AI applications in cybersecurity.
• Module 7: AI Applied to Security Detection and Threat Hunting :
  1. You will learn AI-based threat detection, behavioral analytics, anomaly detection, threat intelligence, threat hunting, MITRE ATT&CK mapping, and AI-assisted SOC operations.
• Module 8: AI Security, LLM Security, and Responsible AI :
  1. You will learn LLMs, Generative AI, AI copilots, RAG, OWASP LLM security risks, AI vulnerabilities, governance, and responsible AI practices.
• Module 9: Offensive Security for AI Systems :
  1. You will learn AI threat modeling, attack surfaces, adversarial attacks, STRIDE methodology, AI vulnerabilities, red teaming, and security testing approaches.
• Module 10: Security Operations, Incident Response, and Malware Analysis:
  1. You will learn about SOC operations, SIEM concepts, incident response, malware analysis, threat investigation, and AI-assisted security operations.
• Module 11: Governance, Compliance, and Ethical AI Security:
  1. You will learn security governance, risk management, AI governance, compliance, privacy principles, and responsible AI security practices.
• Module 12: Capstone Project — AI-Driven Security Operations and Defense:
  1. You will apply cybersecurity skills through an end-to-end AI security project involving threat analysis, AI risk assessment, incident response, and professional security reporting.

Herramientas de IA

• Scikit-learn
• TensorFlow
• PyTorch
• Kali Linux
• Wireshark
• Nmap
• Wazuh
• Splunk
• OWASP ZAP