AI Engineering & Production Systems Training in Copenhagen, Denmark

This comprehensive training program equips participants with the skills to design, build, deploy, and maintain robust AI systems in production. Covering the full AI engineering lifecycle, the course emphasizes practical, enterprise-ready approaches to model development, MLOps, infrastructure, monitoring, and governance. Participants will gain hands-on experience with industry-standard tools and frameworks, enabling them to lead AI initiatives in complex, real-world settings.

AI System Architecture and Lifecycle

• End-to-end AI lifecycle overview
• System design principles for production AI
• Requirements gathering and trade-offs
• Scalability, reliability, and maintainability

Data Engineering and Feature Pipelines

• Data ingestion and storage strategies
• Feature engineering and feature stores
• Data validation and quality checks
• Versioning datasets and features

Model Development and Experimentation

• Experiment tracking and reproducibility
• Model selection and hyperparameter tuning
• Evaluation metrics and validation strategies
• Model packaging and serialization

MLOps and CI/CD for AI

• Continuous integration for ML pipelines
• Automated testing and validation
• Containerization with Docker
• Orchestration with Kubernetes

Model Deployment and Serving

• Deployment patterns: batch, real-time, edge
• API development and serving frameworks
• Canary releases and A/B testing
• Scaling and load management

Monitoring, Logging, and Alerting

• Monitoring model performance and drift
• Logging infrastructure and best practices
• Alerting and incident response
• Data and model quality dashboards

Governance, Fairness, and Security

• Bias detection and mitigation
• Explainability and interpretability
• Security best practices for AI systems
• Compliance and regulatory considerations

Production Case Studies and Best Practices

• Real-world architecture reviews
• Cost optimization strategies
• Disaster recovery and rollback planning
• Future trends and emerging tools