Maestría en IA y Ciberseguridad 2025

Resumen

Master the Integration of AI and Cyber Security to Protect Digital Systems and Stay Ahead of Emerging Threats What you'll learn:

Understand the impact of AI in modern cyber security for threat detection, prevention, and response.Master top AI and machine learning tools like TensorFlow, PyTorch, and ChatGPT for building secure systems.Gain hands-on experience with cybersecurity tools such as Wireshark, Splunk, AWS GuardDuty, and VirtualBox for monitoring and attack mitigation.Learn how to use ChatGPT for cyber security tasks, from automation to anomaly detection.Explore the fundamentals of Artificial Intelligence and its role in cyber defense strategies.Build foundational skills in PyTorch, including model training and evaluation for cyber applications.Understand commonly used hardware tools in cyber security, including routers, sniffers, and firewalls.Identify and assess cyber threats, vulnerabilities, and apply effective risk management frameworks.Build and deploy AI-based cybersecurity models using Python and deep learning techniques.Apply the NIST AI Risk Management Framework to real-world cyber security challenges.Learn cyber security fundamentals, including encryption, firewalls, malware analysis, and more.Learn Python programming for security automation, data analysis, and AI model development.Design and implement a phishing detection system using artificial intelligence.Explore the use of AI voice cloning for social engineering simulations and cyber security awareness training. Cyber Security AI is the next frontier in protecting digital landscapes.

Whether you’re an aspiring AI enthusiast eager to delve into the realm of cybersecurity, a student aiming to solidify your understanding of securing systems, or a seasoned programmer looking to integrate Python and Artificial Intelligence into cutting-edge cybersecurity tools, this course is designed for you!Our hands-on and practical approach ensures you’ll learn by doing, diving into real-world applications and industry techniques. From harnessing AI tools to implementing advanced security measures, you’ll gain the skills needed to thrive in this evolving field.We’ll begin by introducing ChatGPT for Cyber Security, demonstrating how to leverage its capabilities for ethical hacking, prompt engineering, and advanced data analysis.

From there, we’ll cover essential topics, including:

1. AI in Cybersecurity Tools and Techniques – Learn how AI enhances traditional tools like firewalls, email filters, and intrusion detection systems.2.

Deep Learning for Cybersecurity – Master TensorFlow, PyTorch, and neural networks by building phishing detection systems and more.3. AI Voice Cloning and Security Implications – Learn how AI-generated voice cloning works, its use in social engineering, and how to defend against audio-based phishing threats.4.

Python Programming – Explore Python’s power for preprocessing data, training models, and creating robust security solutions.5. Advanced Threat Detection – Utilize platforms like Splunk, Elasticsearch, AWS GuardDuty, and Microsoft Azure Security Center for modern security practices.6.

Network Security and Malware Detection – Develop AI-driven systems to monitor networks and detect malware threats.7. AI Risks and Ethical Concerns – Delve into risks such as data bias, model vulnerabilities, and ethical considerations in AI.Throughout the course, you’ll work on projects like building phishing detection systems, analyzing network activity, and applying machine learning to real-world security problems.

By the end, you’ll have mastered the tools and techniques to protect yourself, your business, and your clients in today’s rapidly advancing threat landscape.Join us and become a leader in the transformative field of Cyber Security AI!

Programa

• Introducción a la IA en Ciberseguridad
Visión general del papel de la IA en la defensa cibernética
Introducción a ChatGPT para ciberseguridad
Hacking ético e ingeniería de prompts con ChatGPT
• Fundamentos esenciales de la ciberseguridad
Técnicas de encriptación
Firewalls y sistemas de detección de intrusiones
Análisis de malware
• IA en herramientas de seguridad tradicionales
Mejoras en firewalls, filtros de correo electrónico y IDS
Aplicaciones prácticas y estudios de caso
• Aprendizaje profundo para la ciberseguridad
Dominando TensorFlow y PyTorch para aplicaciones de seguridad
Construyendo sistemas de detección de phishing
Redes neuronales en defensa cibernética
• Programación en Python para seguridad
Python para preprocesamiento y análisis de datos
Desarrollo y automatización de soluciones de seguridad
Construcción de modelos de IA para ciberseguridad
• Detección avanzada de amenazas
Utilizando Splunk y Elasticsearch
AWS GuardDuty y Microsoft Azure Security Center
Prácticas modernas de seguridad e implementación
• Seguridad de redes y detección de malware
Monitoreo de redes impulsado por IA
Detección de amenazas de malware con IA
Ejercicios prácticos en seguridad de redes
• Clonación de voz por IA e implicaciones de seguridad
Comprendiendo la clonación de voz generada por IA
Ingeniera social y amenazas de phishing basadas en audio
Estrategias de defensa contra la clonación de voz
• Riesgos de IA y preocupaciones éticas
Abordando el sesgo de datos y las vulnerabilidades de modelos
Consideraciones éticas en seguridad potenciadas por IA
Aplicación del marco de gestión de riesgos de IA de NIST
• Proyectos prácticos
Construcción de un sistema de detección de phishing
Análisis de actividad de red
Aplicaciones de aprendizaje automático a problemas de seguridad del mundo real
• Proyecto final
Diseño e implementación de un modelo de ciberseguridad basado en IA
Aplicar el aprendizaje del curso a escenarios prácticos
Presentar soluciones y hallazgos
• Conclusión
Dominando la integración de IA y ciberseguridad
Tendencias futuras y amenazas emergentes en la IA de ciberseguridad
Caminos para convertirse en un líder en IA de ciberseguridad

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Impartido por

Emin Pazarac

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Materias

Information Security (InfoSec)