The course, AI+ Security Level 1™ Certification, is comprehensive and helps professionals understand how AI integrates with Cybersecurity. It starts with an introduction to basic Python programming tailored for AI and Cybersecurity applications, text before essential concepts of artificial intelligence, the application of machine learning methodologies for detecting and mitigating cyber threats such as email threats, malware, or network anomalies. More advanced topics include user authentication using AI algorithms and the application of Generative Adversarial Networks (GAN)-based methods for purposes related to Cybersecurity so that participants are given the most up-to-date information.

Experiential learning approaches throughout the AI network security training course, including a Capstone Project where attendees apply their skills to real cybersecurity challenges, equip participants to use AI in securing digital assets efficiently.

Certification Duration: 40 hours (5 Days)

Prerequisites:

• Python Basics: Looping constructs, function definitions, and variable types should be much clearer to the applicant.
• Fundamentals of Cybersecurity: Should be able to explain the CIA triad and some common types of threats such as malware and phishing.
• Basic Machine Learning Concepts: Familiarity with some of the core machine-learning philosophies is a plus but not necessary.
• Basic Networking: Must be familiar with IP addressing and TCP/IP.
• Linux/Command Line: An understanding of the Linux CLI navigation and use is expected.

Exam Details

• Modules – 12
• Examination – 1
• 50 MCQs - 90 Minutes
• Passing Score – 70%

Certification Modules

• Module 1: Introduction to Cybersecurity
• Module 2: Operating System Fundamentals
• Module 3: Networking Fundamentals
• Module 4: Threats, Vulnerabilities, and Exploits
• Module 5: Understanding of AI and ML
• Module 6: Python Programming Fundamentals
• Module 7: Applications of AI in Cybersecurity
• Module 8: Incident Response and Disaster Recovery
• Module 9: Open-Source Security Tools
• Module 10: Securing the Future
• Module 11: Capstone Project

Tools

• CrowdStrike
• Flare
• ChatGPT
• Pluralsight

Exam Objectives

• Automation of Security Processes: Learners will develop the skill set to learn AI security basics and automate typical security tasks like monitoring, logging, and incident detection and response with the help of artificial intelligence, making the process much more efficient and accurate.
• Data Privacy and Compliance in AI Security: Learners will come to an understanding of being data-sensitive and ensuring compliance with regulations while using AI for security through AI cybersecurity training online, so they can contribute to developing and employing secure and legally compliant solutions.
• Threat Detection and Response Using AI: Learn AI-based tools and techniques for detecting, analyzing, and responding to security threats in real-time.
• Real-Time Cyberattack Prevention with AI: Learners will develop an understanding of the ability to use artificial intelligence to anticipate and mitigate cyberattacks even before they occur through predictive models and a profile of behavioral patterns, helping them become an AI security expert.