Master Privacy-Preserving AI: Federated Learning & Secure RAGs

Course Overview

This cutting-edge course teaches how to build AI systems with federated learning and privacy-preserving techniques for Retrieval-Augmented Generation (RAG) models, ensuring regulatory compliance without compromising performance.

What You'll Learn

• Implement federated learning for decentralized AI training
• Apply privacy techniques like homomorphic encryption to RAG systems
• Develop compliant AI solutions that protect sensitive data

Who This Is For

• AI engineers building privacy-conscious systems
• Data scientists implementing federated learning
• ML architects designing secure RAG solutions

Key Benefits

• Master next-gen privacy techniques for AI development
• Build RAG systems that meet strict data protection standards
• Gain practical skills in federated learning implementation

Curriculum Highlights

1. Fundamentals of Federated Learning
2. Privacy-Preserving Techniques for RAG
3. Deploying Compliant AI Systems