AI, machine learning & data science
Choose a subject and follow its lessons.
Anomaly Detection Tutorial
Build contextual detectors with incident labels, alert budgets, delayed-outcome backtests and an explainable triage queue.
Anomaly Detection: Projects
A checked project for the Anomaly Detection curriculum.
Online Experimentation Tutorial
Ship measured changes with stable assignment, faithful exposure telemetry, integrity checks and predeclared release gates.
Online Experimentation: Projects
A checked project for the Online Experimentation curriculum.
Feature Stores Tutorial
Build versioned feature definitions, point-in-time historical retrieval and online serving with measurable parity.
Feature Stores: Projects
A checked project for the Feature Stores curriculum.
Multimodal AI Tutorial
Connect image and text evidence with validated pairs, compatible representations, missing-channel fallbacks and traceable evaluation.
Multimodal AI: Projects
A checked project for the Multimodal AI curriculum.
Privacy-Aware ML Tutorial
Define protected units and threats, bound contributions, review release accounting and test data-lineage controls.
Privacy-Aware ML: Projects
A checked project for the Privacy-Aware ML curriculum.
Knowledge Graphs Tutorial
Publish typed claims with stable identity, reversible resolution, evidence history, validation and bounded graph queries.
Knowledge Graphs: Projects
A checked project for the Knowledge Graphs curriculum.