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Duration 14 hours
Course Outline
Introduction to Privacy in AI Deployments
- Privacy challenges inherent in AI systems
- The role of Ollama 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 strategies
On-Device and On-Premises Inference
- Benefits of local inference for privacy
- Edge deployment patterns
- Balancing performance with compliance
Differential Privacy and Data Protection
- Core principles of differential privacy
- Applying noise mechanisms to AI workflows
- Data minimization and anonymization strategies
Logging, Monitoring, and Auditing
- Best practices for secure logging
- Creating audit trails for compliance
- Real-time monitoring and alerting systems
Access Control and Policy Enforcement
- Role-based access control (RBAC)
- Policy enforcement using Open Policy Agent
- Data governance frameworks
Case Studies and Best Practices
- Deploying Ollama in regulated industries
- Balancing usability with privacy
- Insights from real-world implementations
Summary and Next Steps
Requirements
- Knowledge of fundamental IT security principles
- Practical experience with containerization and deployment processes
- Awareness of compliance frameworks such as GDPR or HIPAA
Target Audience
- Security engineers
- IT architects
- Privacy officers
- Compliance teams
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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