AI+ Security Expert™

Kód kurzu: NPAT2102

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Formerly known as AI+ Security Level 2™

Protect and Secure: Leverage Intelligent AI Solutions

Formerly known as AI+ Security Level 2™
Protect and Secure: Leverage Intelligent AI Solutions

This certification validates intermediate-level knowledge of AI-driven cybersecurity concepts and assesses competency in applying security controls, risk management practices, and AI-enabled threat detection techniques. The exam evaluates understanding of advanced security principles within AI-augmented environments.

Odborní
certifikovaní lektori

Mezinárodne
uznávané certifikácie

Široká ponuka technických
a soft skills kurzov

Skvelý zákaznicky
servis

Prispôsobenie kurzov
presne na mieru

Termíny kurzov

Počiatočný dátum: Na vyžiadanie

Garantovaný

Forma: Self-Paced

Dĺžka kurzu: 40 hodín

Jazyk: en

Cena bez DPH: 285 EUR

Registrovať

Počiatočný dátum: Na vyžiadanie

Garantovaný

Forma: Self-Paced

Dĺžka kurzu: 40 hodín

Jazyk: en

Cena bez DPH: 75 EUR

Registrovať

Počiatočný
dátum
Miesto
konania
Forma Dĺžka
kurzu
Jazyk Cena bez DPH
G Na vyžiadanie Self-Paced 40 hodín en 285 EUR Registrovať
G Na vyžiadanie Self-Paced 40 hodín en 75 EUR Registrovať
G Garantovaný kurz

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Kontakt

Popis kurzu

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AI-Driven Threat Detection

Learn to utilize AI algorithms for identifying and addressing cybersecurity threats, including phishing attacks, malware, and network anomalies.

Advanced User Authentication Methods

Implement cutting-edge AI techniques for user authentication to improve identity verification and prevent fraudulent access.

Application of Machine Learning in Cybersecurity

Employ machine learning techniques to analyze data, predict cyber threats, and respond to them with precision.

AI-Enhanced Penetration Testing

Master AI-driven tools to enhance penetration testing processes, identifying vulnerabilities more efficiently than traditional methods.

Štruktúra kurzu

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Module 1: Introduction to AI and Cybersecurity

  • You will learn AI and cybersecurity fundamentals, AI-driven threat detection, vulnerability management, ethical considerations, regulatory requirements, and resilient security strategies. 

Module 2: Python Programming for AI and Cybersecurity Professionals

  • You will learn Python programming for security automation, data analysis, AI scripting, visualization, and developing cybersecurity tools. 

Module 3: Applications of Machine Learning in Cybersecurity

  • You will explore ML-based anomaly detection, behavior analysis, predictive threat identification, data protection, and advanced cybersecurity applications. 

Module 4: Detection of Email Threats with AI

  • You will learn AI-powered email security, phishing detection, deep learning models, automation techniques, and email threat response solutions. 

Module 5: AI Algorithm for Malware Threat Detection

  • You will learn AI-based malware detection, neural networks, model development, real-time mitigation, and malware analysis techniques. 

Module 6: AI Infrastructure and Deployment

  • You will explore AI-based network anomaly detection, model implementation, deployment strategies, and challenges in handling advanced threats. 

Module 7: User Authentication Security with AI

  • You will learn AI-driven authentication, biometric recognition, behavioral analysis, adaptive security controls, and emerging authentication trends. 

Module 8: GAN for Cyber Security

  • You will explore GAN applications in cybersecurity, including threat simulation, synthetic attack generation, vulnerability detection, and defense improvement. 

Module 9: Penetration Testing with Artificial Intelligence

  • You will learn AI-enhanced penetration testing, cyberattack simulation, automated vulnerability identification, and improved security assessment techniques. 

Module 10: Capstone Project

  • You will apply AI cybersecurity concepts through real-world projects involving anomaly detection, email security, IoT protection, behavioral biometrics, and threat intelligence. 

Predpokladané znalosti

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  • Interest in AI Technologies: Interest in learning about AI technologies such as ML, DL, and NLP.  
  • Tech Comfort: Basic knowledge about the fundamentals of computer science.  
  • Learning Mindset: Curiosity and openness to learn about new concepts and technologies.  
  • Ethical Awareness: Willingness to explore ethical considerations and legal frameworks surrounding the use of AI and data privacy.

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