Overview
This bundle provide enrollments into the three Security focused eLearning courses from AI Certs: AI+ Security Level 1, AI+ Security Level 2, AI+ Security Level 3.
This bundle provides students an overview of AI in Security for a discounted rate.
Who should attend
- Security Analysts
- Cybersecurity Specialists
- Security Consultants
Prerequisites
Students are recommended to have the knowledge covered in AI+ Executive (AIE) or AI+ Everyone (AIEV).
For the level 3 course, students should have: !
Outline
AI Security Level 1: Offers professionals an exploration of the integration of AI and Cybersecurity by looking at machine learning techniques to detect and mitigate cyber threats, as well as user authentication using AI algorithms.
- Module 1: Introduction to Cyber Security
- 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
AI+ Security Level 2: Offers professionals a thorough exploration of the integration of AI and cybersecurity. The course looks at essential AI principles and application of Generative Adversarial Networks (GANs) for cybersecurity purposes.
- Module 1: Introduction to Artificial Intelligence and Cyber Security
- Module 2: Python Programming for AI and Cybersecurity Professionals
- Module 3: Application of Machine Learning in Cybersecurity
- Module 4: Detection of Email Threats with AI
- Module 5: AI Algorithm for Malware Threat Detection
- Module 6: Network Anomaly Detection using AI
- Module 7: User Authentication Security with AI
- Module 8: Generative Adversarial Network (GAN) for Cyber Security
- Module 9: Penetration Testing with Artificial Intelligence
AI+ Security Level 3: Provides a comprehensive exploration of the intersection between AI and cybersecurity, focusing on advanced topics critical to modern security engineering.
- Module 1: Foundations of AI and Machine Learning for Security Engineering
- Module 2: Machine Learning for Threat Detection and Response
- Module 3: Deep Learning for Security Applications
- Module 4: Adversarial AI in Security
- Module 5: AI in Network Security
- Module 6: AI in Endpoint Security
- Module 7: Secure AI System Engineering
- Module 8: AI for Cloud and Container Security
- Module 9: AI and Blockchain for Security
- Module 10: AI in Identity and Access Management (IAM)
- Module 11: AI for Physical and IoT Security