AI+ Security Expert™

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.

سجل الآن
AI+ Security Expert™
يسير بخطى ذاتية: $495

نظرة عامة سريعة: نظرة عامة على الدورة التدريبية والامتحان

فئة أمن الذكاء الاصطناعي, الذكاء الاصطناعي الفني, جميع الدورات, متوفر الآن
اسم البرنامج AI+ Security Expert™
مدة بقيادة مدرب:5 days (live or virtual) | يسير بخطى ذاتية:40 hours of content
المتطلبات الأساسية 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.
تنسيق الامتحان 50 questions, 70% passing, 90 minutes, online proctored exam

وحدات الشهادات

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. 

أكمل الدورة واحصل على الشهادة

Course Certificate

فرص العمل في القطاع

AI Security Analyst

Uses AI techniques for threat detection, security analysis, and risk identification.

Cybersecurity Engineer

Implements AI-powered security solutions and defense strategies.

SOC Analyst

Uses AI tools for monitoring, investigation, and incident response.

Cloud Security Engineer

Applies AI security solutions to protect cloud environments.

Penetration Tester

Uses AI-driven techniques to identify vulnerabilities.

Security Consultant

Advises organizations on AI-based cybersecurity strategies.

الأسئلة الشائعة

المتطلبات الأساسية

تفاصيل الامتحان

درجة النجاح

70%

شكل

50 أسئلة اختيار من متعدد/إجابات متعددة

مخطط الامتحان

Introduction to Artificial Intelligence (AI) and Cyber Security 8%
Python Programming for AI and Cybersecurity Professionals 10%
Application of Machine Learning in Cybersecurity 10%
Detection of Email Threats with Artificial Intelligence (AI) 11%
Artificial Intelligence (AI) Algorithm for Malware Threat Detection 11%
Network Anomaly Detection using Artificial Intelligence (AI) Techniques 11%
User Authentication Security with Artificial Intelligence (AI) 11%
Generative Adversarial Network (GAN) for Cyber Security 11%
Penetration Testing with Artificial Intelligence 11%
Capstone Project 6%
التعلم الذاتي عبر الإنترنت

التعلم الذاتي عبر الإنترنت: 40 hours of content

سعر: $495

التعليم عبر الإنترنت بقيادة مدرب

التعليم عبر الإنترنت بقيادة مدرب: 5 days (live or virtual)

الأدوات الأساسية للذكاء الاصطناعي التي تم تغطيتها