What You Need to Know Before
You Start
Starts 8 June 2025 12:19
Ends 8 June 2025
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16 minutes
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Overview
Explore vector storage solutions for AI systems, focusing on data privacy challenges and sovereignty requirements in modern agentic architectures.
Syllabus
- Introduction to AI and Data Privacy
- Basics of Vector Storage
- Agentic Systems Architecture
- Data Privacy Challenges in AI
- Designing Privacy-Preserving AI Systems
- Vector Storage Solutions for Privacy
- Data Sovereignty in AI Architectures
- Emerging Trends in AI & Privacy
- Case Studies and Practical Applications
- Course Conclusion
Overview of AI Systems and Data Privacy Concerns
Importance of Data Sovereignty in AI
Definition and Applications of Vector Storage
Comparison with Traditional Storage Solutions
Understanding Agentic Systems
Role of Vector Storage in Autonomous Agents
Identifying Privacy Risks in AI Workflows
Case Studies on Data Breaches and Privacy Violations
Best Practices for Data Encryption and Anonymization
Frameworks for Privacy by Design in AI
Overview of Privacy-Focused Vector Storages
Techniques for Secure Vector Embeddings
Legal and Regulatory Frameworks
Implementing Data Sovereignty in Multi-Jurisdictional Environments
Decentralized AI and Implications for Data Privacy
The Future of Vector Storage Technologies in Privacy Preservation
Real-world Examples of Privacy-Preserving Vector Storage
Industry Implementations and Innovations
Recap of Key Takeaways
Discussions and Workshop on Future Challenges and Solutions in AI Privacy
Subjects
Programming
