Featured resource
Tech Upskilling Playbook 2025
Tech Upskilling Playbook

Build future-ready tech teams and hit key business milestones with seven proven plays from industry leaders.

Learn more
  • Path icon Learning Path
  • Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
  • Security

AI-based Threat Detection

3 Courses
1 Lab
3 Hours
Skill IQ

This learning path introduces the practical use of AI and machine learning in cybersecurity. Learners will explore how AI enhances threat detection, anomaly detection, and automated incident response. Real-world demos cover phishing detection, malware classification, and integration with tools like SIEMs and incident response platforms.

Content in this path

Try this learning path for free
Access this learning path and other top-rated tech content with a free trial.
Have questions? Get them answered now.
What You'll Learn
  • The fundamentals of AI and machine learning in the context of cybersecurity
  • How to detect threats like phishing, malware, and insider attacks using AI techniques
  • The difference between supervised and unsupervised learning, and how they're applied in security
  • How to use algorithms like decision trees, SVMs, and neural networks for threat classification and anomaly detection
  • Best practices for preprocessing security data and selecting impactful features
  • How to integrate AI models with SIEM systems and automate incident response workflows
  • How to evaluate the effectiveness of AI-based detection and response systems
Prerequisites
  • None
Related topics
  • Threat Detection
  • AI
  • Security
Not sure where to start?
With over 500 assessments to choose from, you can see where your skills stand and receive adaptive learning recommendations to fill knowledge gaps in as little as 10 minutes.
Learn more

Join our learners and upskill
in leading technologies