About This Course
IoT Security Using AI
Understanding how to protect IoT devices with AI-driven solutions to prevent vulnerabilities.
Deep Learning for Threat Detection
Expertise in leveraging deep learning algorithms for advanced threat analysis and response.
AI-Driven Network Security
Ability to implement AI tools for securing network infrastructures and preventing cyber-attacks.
Endpoint Protection with AI
Competence in using AI technologies to enhance endpoint security and protect devices from attacks.
Course Information
All You Need to Know
Format
Multiple Choice Questions (MCQ)
Number of Questions
50
Duration
90 minutes
Passing Score
70% (35/50 Correct)
Delivery
Online via proctored exam
Frequently Asked Questions
Experienced security professionals ready to tackle advanced AI security engineering topics, typically after completing Levels 1 and 2.
Adversarial AI, network and endpoint security, secure AI system engineering, cloud and container security, and identity and access management (IAM).
Yes — participants design and engineer AI-driven security solutions as part of a hands-on capstone project.
Yes — AI in IoT security and physical security systems are included as key subject areas.
Yes — Level 3 is the most advanced of the three AI+ Security certification levels.