Training

Adopt best practices that make your engineering efforts scalable and efficient:

• Reliable pipelines – build with Delta Live Tables and Autoloader
• Governed data – manage access and lineage with Unity Catalog
• Automation & orchestration – optimise workflows and reduce manual overhead

Design and deploy ML models using adaptable, reusable templates:

• Experiment tracking – log and compare runs with MLflow
• Reusable features – access governed data with the Feature Store
• Deployment confidence – move models from notebooks to production endpoints

Learn how to identify and align business value with data initiatives:

• Strategy alignment – connect data projects with business objectives
• Governance & compliance – ensure security, trust, and regulatory readiness
• Value delivery – measure impact and prioritise the right opportunities

• Are you ready to upskill your teams?