AI, machine learning & data science

Choose a subject and follow its lessons.

Train and serve an image classifier through checked data, loss, validation, recovery and inference boundaries.

A checked project for the Deep Learning curriculum.

Build text classifiers and extraction systems with explicit corpus, annotation, split, evaluation and serving contracts.

A checked project for the Natural Language Processing curriculum.

Release models through traceable artifacts, feature parity, promotion gates, staged rollout, monitoring and rollback.

A checked project for the MLOps curriculum.

Make defensible data decisions by defining populations, measuring uncertainty and planning experiments before reading results.

A checked project for the Applied Statistics curriculum.

Build permission-aware document answers with versioned chunks, measured retrieval, grounded responses and safe index updates.

A checked project for the Retrieval-Based AI curriculum.

Design auditable charts from explicit populations, stable scales, visible uncertainty and accessible representations.

A checked project for the Data Visualization curriculum.