ACERT76-053_rev3.0: AI+ Security-Level 2, Self-Paced Learning V3 (Security)

Duration: Self-Paced, 40 hours of content

Our comprehensive course, AI+ Security Level 2 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.

• Completion of AI+ Security Level 1, not mandatory
• Basic Python Skills: Familiarity with Python basics, including variables, loops, and functions
• Basic Cybersecurity: Basic understanding of cybersecurity principles, such as the CIA triad and common cyber threats
• Basic Machine Learning Awareness: General awareness about machine learning, no technical skills required
• Basic Networking Knowledge: Understanding of IP addresses and how the internet works.
• Basic Command Line Skills: Comfort using the command line like Linux or Windows terminal for basic tasks
• Interest in AI for Security: Willingness to explore how AI can be applied to detect and mitigate security threats.

Please use the links below to download additional information about this course:

Executive Summary: ai-security-level-2-executive-summary.pdf

Course Outline: ai-security-level-2-course-outline.pdf

Exam Blueprint: ai-security-level-2-blueprint.pdf