AI+ Security Expert™

Course code: NPAT2102

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.

Professional
and certified lecturers

Internationally
recognized certifications

Wide range of technical
and soft skills courses

Great customer
service

Making courses
exactly to measure your needs

Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 40 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 40 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
G Upon request Self-paced 40 hours en 285 EUR Register
G Upon request Self-paced 40 hours en 75 EUR Register
G Guaranteed course

Didn't find a suitable date?

Write to us about listing an alternative tailor-made date.

Contact

Course description

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.

Course structure

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. 

Prerequisites

  • 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.

Do you need advice or a tailor-made course?

onas

product support

ComGate payment gateway MasterCard Logo Visa logo