Course Outline

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

Requirements

  • 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 Hours

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
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    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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