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.
- A technical analysis of prohibited practices under Article 4.
- Translating legal mandates into concrete engineering controls.
Secure and Compliant Development Lifecycle
- Structuring repositories and implementing policy-as-code for AI projects.
- Conducting code reviews and automated static analysis for risky patterns.
- Managing dependencies and supply chains for model components.
CI/CD Pipeline Design for Compliance
- Optimizing pipeline stages: build, test, validation, packaging, and deployment.
- Integrating governance gates and automated policy verification.
- Ensuring artifact immutability and tracking provenance.
Model Testing, Validation, and Safety Checks
- Executing data validation and bias detection tests.
- Assessing performance, robustness, and resilience against adversarial attacks.
- Defining automated acceptance criteria and generating test reports.
Model Registry, Versioning, and Provenance
- Leveraging MLflow or similar tools for model lineage and metadata management.
- Versioning models and datasets to ensure reproducibility.
- Documenting provenance and creating audit-ready artifacts.
Runtime Controls, Monitoring, and Observability
- Implementing instrumentation for logging inputs, outputs, and decision logic.
- Monitoring model drift, data drift, and key performance indicators.
- Configuring alerting, automated rollbacks, and canary deployments.
Security, Access Control, and Data Protection
- Enforcing least-privilege IAM policies in training and serving environments.
- Safeguarding training and inference data both at rest and in transit.
- Managing secrets and adhering to secure configuration standards.
Auditability and Evidence Collection
- Generating machine-readable logs alongside human-readable summaries.
- Packaging evidence for conformity assessments and regulatory audits.
- Establishing retention policies and secure storage for compliance artifacts.
Incident Response, Reporting, and Remediation
- Identifying potential prohibited practices or safety incidents.
- Executing technical containment, rollback, and mitigation procedures.
- Preparing technical reports for governance bodies and regulators.
Summary and Next Steps
Requirements
- A solid grasp of software development and deployment workflows.
- Proficiency in containerization and fundamental Kubernetes concepts.
- Working knowledge of Git-based source control and CI/CD methodologies.
Target Audience
- Developers creating or maintaining AI components.
- DevOps and platform engineers overseeing deployment strategies.
- Administrators responsible for infrastructure and runtime environments.
