Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Foundations: The EU AI Act for Technical Teams
- Key obligations and terminology relevant to developers and operators
- Technical interpretation of prohibited practices under Article 4
- Translating legal requirements into concrete engineering controls
Secure and Compliant Development Lifecycle
- Repository structures and policy-as-code strategies for AI projects
- Code reviews and automated static analysis for risky patterns
- Managing dependencies and supply chains for model components
Designing CI/CD Pipelines for Compliance
- Defining pipeline stages: build, test, validation, package, and deploy
- Integrating governance gates and automated policy enforcement
- Ensuring artifact immutability and tracking provenance
Model Testing, Validation, and Safety Protocols
- Tests for data validation and bias detection
- Evaluating performance, robustness, and adversarial resilience
- Automating acceptance criteria and generating test reports
Model Registry, Versioning, and Provenance
- Leveraging MLflow or similar tools for model lineage and metadata
- Versioning models and datasets to ensure reproducibility
- Recording provenance and creating audit-ready artifacts
Runtime Controls, Monitoring, and Observability
- Instrumenting systems to log inputs, outputs, and decision logic
- Monitoring for model drift, data drift, and performance metrics
- Implementing alerting, automated rollback, and canary deployments
Security, Access Control, and Data Protection
- Applying least-privilege IAM for training and serving environments
- Safeguarding training and inference data at rest and in transit
- Best practices in secrets management and secure configuration
Auditability and Evidence Collection
- Generating machine-readable logs alongside human-readable summaries
- Packaging evidence for conformity assessments and audits
- Establishing retention policies and secure storage for compliance artifacts
Incident Response, Reporting, and Remediation
- Identifying suspected prohibited practices or safety incidents
- Executing technical steps for containment, rollback, and mitigation
- Drafting technical reports for governance bodies and regulators
Summary and Next Steps
Requirements
- A solid grasp of software development and deployment workflows
- Experience with containerization and fundamental Kubernetes concepts
- Proficiency in Git-based source control and CI/CD practices
Target Audience
- Developers building or maintaining AI components
- DevOps and platform engineers overseeing deployment processes
- Administrators managing infrastructure and runtime environments