Enroll Now

Starting October 23, 2025, we will be covering the following

Sign Up
  • 00 Days
  • 00 Hours
  • 00 Minutes
  • 00 Seconds

What You'll Learn

  • Live demos of secure AI workflows

  • Threat-modeling for ML systems

  • Data-privacy & compliance tips

  • Insights from security practitioners

Introduction to AI Security

  • Overview of Cybersecurity for AI Systems

  • Protecting AI Models and Algorithms

  • Regulatory and Compliance Considerations in AI Security

Securing AI Data and Pipelines

  • ⁠⁠Data Security in AI Systems

  • Pipeline Security in AI Systems

  • AI Model Explainability and Security

AI Model Explainability and Security

  • Cybersecurity Frameworks for AI Development

  • Monitoring and Incident Response for AI Systems

  • Zero Trust Security for AI Systems

AI Adversarial Attacks & Cloud Cybersecurity

  • Adversarial Attacks on AI Systems

  • Advanced Adversarial Attacks

  • Cloud Security for AI Systems

  • Ethical Considerations in AI Security

Instructor

Mark Kerzner

Co-Founder, ElephantScale

Mark is an experienced, hands-on software architect, practicing and teaching AI, Machine Learning, Security, Blockchain, Spark, Hadoop, NoSQL, and more. He worked in a variety of verticals (Hightech, Healthcare, O&G, Legal, Fintech). His classes are hands-on and draw heavily on his industry experience. Mark is certified in Google Cloud (GCP), Amazon (AWS), and Hadoop. Mark is an author and maintainer for a popular open-source project for lawyers and researchers, FreeEed, which deals with search and massive scalability.