The Certification: AI Safety & Ethics in Machine Learning by Safe.AI Founder provides a comprehensive exploration of critical safety and ethical considerations in artificial intelligence and machine learning. Participants gain essential skills such as improved decision-making, adaptability, and a competitive advantage by learning to identify and mitigate AI risks. Enroll today to develop expertise that will help ensure the responsible and secure deployment of intelligent systems.

This certification covers the following topics:

  • Foundations of Deep Learning and Neural Networks
  • AI Safety: Foundational Concepts and Risk Analysis
  • Adversarial Robustness
  • Anomaly Detection (Out-of-Distribution Detection)
  • Interpretability and Transparency
  • Hidden Functionality and Backdoors (Trojans)
  • Emergent Capabilities and Goals
  • Goodhart's Law
  • Deception and Lying in AI
  • Ethical Considerations and Value Alignment
  • Imposing Ethical Constraints and Moral Guidance
  • Long-Term AI Safety and Existential Risk