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Learning hub

Guided paths for ML practitioners

Self-paced modules with code labs, safety checklists, and real-world datasets. Each path ends with a capstone you can demo internally.

• Foundations: data quality, evaluation, and monitoring.
• Applied: multimodal search, RAG, and on-device inference.
• Safety: threat modeling, policy alignment, and red teaming.