
Intermediate12 hrs
Foundations of Machine Learning
Regression, trees, and the math that actually matters.
Catalog
Every course is built around labs you actually run. Start anywhere — we'll tell you the prerequisites before you commit an evening to it.

Regression, trees, and the math that actually matters.

RAG, agents, and evaluation with production patterns.

From tensors to your first trained CNN, step by step.
Ship, monitor, and roll back models without drama.
Convolutions, augmentation, and detection in practice.
Clean, label, and split data so your metrics mean something.
Structured prompting, tool schemas, and context budgets.
Scoping, evaluation, and pricing for AI features.
Risk, bias testing, and documentation that survives audit.
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