These Technology & Science courses cover a broad spectrum of topics, ensuring you stay current with industry standards and best practices.

Practical, sector-ready guidance for AEC leaders and teams to adopt generative AI safely, improve delivery, and build capability across New Zealand projects.

Go beyond grid search to tune complex machine learning models with sequential model-based optimization.

Go beyond default settings with robust tuning, cross-validation, and performance metrics for better performing machine learning models.

Harness Claude to automate repetitive engineering tasks, streamline complex technical workflows, and drastically reduce project turnaround times.
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Build dynamic, efficient, and framework-agnostic machine learning pipelines using the Define-by-Run API.

Cut training costs and accelerate model tuning with advanced search strategies.

Understand SHAP values in depth to explain machine learning models accurately, critically and with confidence.

Interpret any model with visual tools like permutation feature importance, partial dependence plots, accumulated local effects and individual conditional expectation

Master global and local explainability for decision trees, random forests, and gradient boosting machines.

Explain what drives your model and each prediction using regression coefficients, odds ratios and feature importance