AI+ Security (AITSEC)

Our comprehensive course, AI+ Cybersecurity offers professionals a thorough exploration of the integration of AI and Cybersecurity. Beginning with fundamental Python programming tailored for AI and Cybersecurity applications, participants delve into essential AI principles before applying machine learning techniques to detect and mitigate cyber threats, including email threats, malware, and network anomalies. Advanced topics such as user authentication using AI algorithms and the application of Generative Adversarial Networks (GANs) for Cybersecurity purposes are also covered, ensuring participants are equipped with cutting-edge knowledge. Practical application is emphasized throughout, culminating in a Capstone Project where attendees synthesize their skills to address real-world cybersecurity challenges, leaving them adept in leveraging AI to safeguard digital assets effectively.

Upon successful completion of the AI+ Cybersecurity course, participants will be awarded a certificate attesting to their proficiency in Python programming for AI and Cybersecurity applications, mastery in applying machine learning techniques to identify and mitigate cyber threats, including email threats, malware, and network anomalies, familiarity with advanced AI techniques such as Generative Adversarial Networks (GANs) for cybersecurity enhancement, practical skills in conducting penetration testing using AI methodologies, and the ability to synthesize acquired knowledge through a Capstone Project addressing real-world cybersecurity challenges. This certificate validates the participant's competence in leveraging Artificial Intelligence to fortify cybersecurity measures and their preparedness to confront the dynamic complexities of modern digital security landscapes.

Prerequisites

  • Interest in learning about machine learning, deep learning, and natural language processing.
  • Basic knowledge computer science, no technical knowledge required
  • Curiosity and openness to learning about new concepts and technologies
  • Willingness to explore ethical considerations and legal frameworks surrounding the use of AI and data privacy.

Exams

  • Number of Questions: 50
  • Passing Score: 35/50 or 70%
  • Duration: 90 Minutes
  • Format: Online via AI Proctoring platform
  • Question Type: Multiple Choice/Multiple Response

Exam Overview:

  • Introduction to Artificial Intelligence (AI) and Cyber Security - 8%
  • Python Programming for AI and Cyber Security Professionals - 10%
  • Application of Machine Learning in Cyber Security - 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%