This certification offers an in-depth exploration of how Artificial Intelligence (AI) and Machine Learning (ML) can revolutionize cybersecurity. You will learn to leverage AI for enhancing threat detection, compliance, and risk management across diverse areas like networks, endpoints, IoT, and cloud security. The certification emphasizes practical applications through case studies, workshops, and real-world scenarios, providing hands-on experience in securing systems against emerging threats, adversarial attacks, and evolving regulatory challenges. A capstone project will enable you to apply your skills to solve a real-world cybersecurity issue, ensuring you are equipped to design and implement AI-powered security solutions.
Prerequisites
- Foundation in AI+ Security: Completion of AI+ Security Level 1 and 2.
- Intermediate / Advanced Python Programming: Proficiency in Python, including experience with deep learning tools like TensorFlow and PyTorch.
- Advanced Cybersecurity Knowledge: Strong skills in threat detection, incident response, and securing networks and devices.
- AI in Security Engineering: Knowledge of AI’s role in identity and access management (IAM), IoT security, and physical security.
- Cloud and Blockchain Basics: Understanding of cloud security, container systems, and blockchain technology.
- Linux/CLI Mastery: Advanced command-line skills and experience with security tools in Linux environments.
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