• Online, Self-Paced
Course Description

Protect privacy in smart ecosystems with "Federated Learning and Privacy-Aware AI for IoT Networks Training." Learn how distributed learning enables secure AI training without compromising sensitive user data.

Learning Objectives

  • Understand the principles of federated learning and privacy-aware AI.
  • Analyze how federated learning can be used to train AI models on distributed data.
  • Evaluate the benefits of privacy-aware AI for IoT networks.
  • Identify best practices for building secure and privacy-preserving AI systems.
  • Discuss the challenges and opportunities of implementing federated learning in IoT environments.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):