Course Outline

Foundations: EU AI Act for Technical Teams

  • Relevant obligations and terminology for developers and operators
  • Understanding prohibited practices under Article 4 from a technical perspective
  • Mapping legal requirements to engineering controls

Secure and Compliant Development Lifecycle

  • Repository structure and policy-as-code for AI projects
  • Code review and automated static checks for risky patterns
  • Dependency and supply-chain management for model components

CI/CD Pipeline Design for Compliance

  • Pipeline stages: build, test, validation, package, deploy
  • Integrating governance gates and automated policy checks
  • Artifact immutability and provenance tracking

Model Testing, Validation, and Safety Checks

  • Data validation and bias detection tests
  • Performance, robustness, and adversarial resilience testing
  • Automated acceptance criteria and test reporting

Model Registry, Versioning, and Provenance

  • Using MLflow or equivalent for model lineage and metadata
  • Versioning models and datasets for reproducibility
  • Recording provenance and producing audit-ready artifacts

Runtime Controls, Monitoring, and Observability

  • Instrumentation for logging inputs, outputs, and decisions
  • Monitoring model drift, data drift, and performance metrics
  • Alerting, automated rollback, and canary deployments

Security, Access Control, and Data Protection

  • Least-privilege IAM for model training and serving environments
  • Protecting training and inference data at rest and in transit
  • Secrets management and secure configuration practices

Auditability and Evidence Collection

  • Generating machine-readable logs and human-readable summaries
  • Packaging evidence for conformity assessments and audits
  • Retention policies and secure storage of compliance artifacts

Incident Response, Reporting, and Remediation

  • Detecting suspected prohibited practices or safety incidents
  • Technical steps for containment, rollback, and mitigation
  • Preparing technical reports for governance and regulators

Summary and Next Steps

Requirements

  • An understanding of software development and deployment workflows
  • Experience with containerization and basic Kubernetes concepts
  • Familiarity with Git-based source control and CI/CD practices

Audience

  • Developers building or maintaining AI components
  • DevOps and platform engineers responsible for deployment
  • Administrators managing infrastructure and runtime environments
 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 -
    • Bespoke outlines
    • 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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