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Expert in artificial intelligence and cybersecurity

150 hours | Online
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Ciberseguridad

Introduction

The Expert in artificial intelligence and cybersecurity is designed to train professionals capable of understanding and applying the fundamentals of AI in digital environments, while combining them with the core principles and technologies of cybersecurity.

This program provides a comprehensive overview of how artificial intelligence is transforming cybersecurity—from threat detection to the prevention of advanced attacks—equipping students to face the challenges of a hyperconnected and digital world.

It is aimed at professionals, executives, entrepreneurs, or consultants interested in leading or facilitating processes related to AI and cybersecurity. No prior technical knowledge is required. No prior technical knowledge is required.

Objective

To train experts capable of designing, implementing, and managing solutions that integrate artificial intelligence and cybersecurity, with a practical, ethical, and strategic approach, in response to the growing demands of digital transformation and data protection.

Methodology

  • Synchronous and asynchronous online classes.
  • Case studies and simulations.
  • Practical workshops and collaborative exercises.
  • Personalized mentoring for the final project.

    • Curriculum

    01

    Fundamentals of artificial intelligence

  • Introduction to AI: history, evolution, and current state.
  • Machine learning paradigms.
  • Neural networks and deep learning.
  • Natural Language Processing (NLP).
  • Computer vision and pattern recognition.
  • Ethics and responsibility in the use of AI.

    • 03

    AI Applied to Cybersecurity

  • AI-based intrusion detection and prevention systems.
  • Predictive threat analysis and anomaly detection.
  • Machine learning for automated cyber defense.
  • NLP applications in malware and phishing analysis.
  • Use of AI in Security Operation Centers (SOCs).
  • Limitations and vulnerabilities of AI in critical environments.

    • 05

    Legal, ethical, and strategic aspects

  • AI regulation and legal liability.
  • Technology risk management and algorithm auditing.
  • Protection of personal data and algorithmic privacy.
  • Governments, national defense, and cyber intelligence.
  • Ethical framework for safe and responsible AI.

    • 02

    Cybersecurity: Principles and technologies

  • Fundamentals of information security.
  • Encryption and applied cryptography.
  • Network security and protocols.
  • Authentication, access control, and identity management.
  • International regulations (GDPR, ISO/IEC 27001, NIST).
  • Cloud security and Zero Trust.

    • 04

    Advanced Threats and Security of Intelligent Systems

  • Cyberattacks on autonomous systems (adversarial AI).
  • Deepfakes, malicious bots, and algorithmic manipulation.
  • Security in IoT devices and embedded systems.
  • Reverse engineering and forensic analysis with AI tools.
  • Blockchain and decentralized cybersecurity.

    • 06

    Final expert project

  • Proposal and design of a real case or simulation.
  • Implementation of a solution combining AI + Cybersecurity.
  • Presentation, defense, and critical evaluation.
  • Recommendations for implementation or real scalability.

    • 01

    Fundamentals of artificial intelligence

  • Introduction to AI: history, evolution, and current state.
  • Machine learning paradigms.
  • Neural networks and deep learning.
  • Natural Language Processing (NLP).
  • Computer vision and pattern recognition.
  • Ethics and responsibility in the use of AI.

    • 02

    Cybersecurity: Principles and technologies

  • Fundamentals of information security.
  • Encryption and applied cryptography.
  • Network security and protocols.
  • Authentication, access control, and identity management.
  • International regulations (GDPR, ISO/IEC 27001, NIST).
  • Cloud security and Zero Trust.

    • 03

    AI Applied to Cybersecurity

  • AI-based intrusion detection and prevention systems.
  • Predictive threat analysis and anomaly detection.
  • Machine learning for automated cyber defense.
  • NLP applications in malware and phishing analysis.
  • Use of AI in Security Operation Centers (SOCs).
  • Limitations and vulnerabilities of AI in critical environments.

    • 04

    Advanced Threats and Security of Intelligent Systems

  • Cyberattacks on autonomous systems (adversarial AI).
  • Deepfakes, malicious bots, and algorithmic manipulation.
  • Security in IoT devices and embedded systems.
  • Reverse engineering and forensic analysis with AI tools.
  • Blockchain and decentralized cybersecurity.

    • 05

    Legal, ethical, and strategic aspects

  • AI regulation and legal liability.
  • Technology risk management and algorithm auditing.
  • Protection of personal data and algorithmic privacy.
  • Governments, national defense, and cyber intelligence.
  • Ethical framework for safe and responsible AI.

    • 06

    Final expert project

  • Proposal and design of a real case or simulation.
  • Implementation of a solution combining AI + Cybersecurity.
  • Presentation, defense, and critical evaluation.
  • Recommendations for implementation or real scalability.

    • Participant profile

    This program is aimed at:

    • Professionals, executives, entrepreneurs, or consultants.

    • ndividuals interested in leading or facilitating AI and Cybersecurity processes.

    No prior technical knowledge is required.

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