Machine Learning
Advanced · 250 min
Graph Neural Networks in Practice
Model complex relational graph data using PyTorch Geometric and GNN architectures.
The catalog
Courses for the work ahead.
Search practical learning paths across technology, business, and design.
Machine Learning
Intermediate · 200 min
MLOps Model Monitoring & Drift Detection
Detect statistical feature drift and performance decay in production ML models.
Machine Learning
Intermediate · 175 min
Practical Feature Engineering
Turn messy source data into features that support honest model evaluation.
Machine Learning
Intermediate · 210 min
Applied Forecasting
Make useful forecasts while respecting time, seasonality, and uncertainty.
Machine Learning
Advanced · 230 min
Evaluation-First Machine Learning
Improve machine-learning systems by measuring the right failures first.
Machine Learning
Intermediate · 150 min
Explainable AI & Interpretable Models
Uncover model predictions using SHAP values, LIME feature attribution, and partial dependence plots.