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Course Outline
Introduction to Responsible AI with Mistral
- Core principles of Responsible AI.
- Mistral’s enterprise features and development roadmap.
- Key compliance drivers and global regulatory landscapes.
Privacy and Data Protection
- Anonymization and pseudonymization techniques.
- Encryption protocols for data at rest and in transit.
- Managing data access permissions to minimize risk.
Data Residency Strategies
- Regional hosting capabilities.
- Comparing on-premises versus cloud deployment models.
- Implementing hybrid residency architectures.
Enterprise Controls and Integrations
- Role-Based Access Control (RBAC).
- Single Sign-On (SSO) and identity management.
- Integration with existing enterprise IT systems.
Auditability and Governance
- Establishing audit logs and monitoring systems.
- Governance playbooks for AI operations.
- Incident response and escalation workflows.
Vendor Options and Deployment Models
- Comparing Mistral self-hosting options against managed services.
- Assessing vendor compliance assurances.
- Analysing cost, performance, and regulatory trade-offs.
Case Studies and Future Outlook
- Real-world examples from regulated industries.
- Emerging regulations and evolving compliance trends.
- Preparing for future enterprise AI standards.
Summary and Next Steps
Requirements
- Familiarity with enterprise IT infrastructure.
- Experience working with data governance or compliance frameworks.
- Knowledge of relevant security and privacy regulations.
Audience
- Compliance leads.
- Security architects.
- Legal and operations stakeholders.
14 Hours
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 3200 € + VAT*
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