Five tracks. One runway.

Bootcamps

Showing 1 bootcamp

• Machine Learning — Core

  Core

  5 months, 5–8 hrs/week

  25 USDper month

  You can train and evaluate a simple model. Now do the work of a junior ML engineer: stronger models, your first neural network, and a model served behind a tested API in Docker instead of stuck in a notebook.

  • XGBoost
  • PyTorch
  • FastAPI
  • Docker

  1. Phase 1

     Stronger models

     Feature engineering, XGBoost, cross-validation, plus clustering and PCA.

  2. Phase 2

     First neural networks

     PyTorch basics: tensors, training loops, and a simple network.

  3. Phase 3

     Engineering practice

     A tested FastAPI service in Docker, plus data structures and coding problems.

  4. Phase 4

     Capstone

     A deployed model with a small product built around it.

  Apply now for Machine Learning (Core)