A foundation for analytics and ML (no LLM hype)
You grasp architecture, warehouses and lakes—before you buy another “AI” tool.
Data engineering & ML
Data you already have—but do not know how to use
For IT directors and analysts. Builds the foundation—data architecture, big data and ML models—before you reach for AI. Generative models deliberately out of scope.
Benefits
ML you can actually run
Classification, forecasting, anomalies—with a pipeline view from raw data to model.
Shared language for IT and business
Fewer “just do AI” requests—more clarity on data, quality and run cost.
What you get
- Data architecture: relational DBs, warehouses, lakes
- Big data: when classic databases stop being enough
- ML in practice: classification, forecasting, anomaly detection
- Pipelines: from raw records to analysis-ready datasets
Skips generative AI on purpose—it is the baseline without which LLMs do not work.
Tailor the workshop (data and ML)
Sets technical depth and use-case focus.
Group profile
Model types of interest (multi-select)
Your choices are attached when you send the enquiry.
Send this configuration with your message — we will respond with next steps.
Areas
- Data & measurement