感谢您发送咨询！我们的团队成员将很快与您联系。
感谢您发送预订！我们的团队成员将很快与您联系。
课程大纲
Introduction to Privacy in AI Deployments
- Privacy challenges in AI systems
- Ollama’s role in privacy-conscious environments
- Overview of compliance considerations (GDPR, HIPAA, etc.)
Secure Containerization and Deployment
- Hardening Docker and Kubernetes environments
- Network security and isolation techniques
- Secrets management and key rotation
On-Device and On-Prem Inference
- Advantages of local inference for privacy
- Edge deployment patterns
- Balancing performance with compliance
Differential Privacy and Data Protection
- Principles of differential privacy
- Applying noise mechanisms to AI workflows
- Data minimization and anonymization strategies
Logging, Monitoring, and Auditing
- Secure logging practices
- Audit trails for compliance
- Real-time monitoring and alerting
Access Control and Policy Enforcement
- Role-based access control (RBAC)
- Policy enforcement with Open Policy Agent
- Data governance frameworks
Case Studies and Best Practices
- Deploying Ollama in regulated industries
- Balancing usability and privacy
- Lessons learned from real-world implementations
Summary and Next Steps
要求
- Understanding of IT security principles
- Experience with containerization and deployment
- Familiarity with compliance frameworks such as GDPR or HIPAA
Audience
- Security engineers
- IT architects
- Privacy officers
- Compliance teams
14 小时
