Learn / ML Engineer
⚙️ML Engineer Track

Training, deployment, monitoring, and serving production ML systems at scale.

  • Meta
  • Google
  • Amazon
  • Microsoft
  • Nvidia

The five stages

  1. 1

    Foundation

    In progress

    What ML Engineers actually do, the full lifecycle, model drift, and MLOps. Four concept pages, no code.

    8 items1.5 hrs
    0 of 8 completed
  2. 🔒

    Core Skills

    Beat boss to unlock

    Evaluation metrics, feature engineering, training fundamentals, experiment tracking. Concept pages plus problems.

    8 items2.5 hrs
    Boss locked — finish Stage 1
  3. 🔒

    Applied Practice

    Beat boss to unlock

    Model serving, deployment patterns, monitoring, distributed training. Medium problems with real production scenarios.

    6 items3.5 hrs
    Boss locked — finish Stage 2
  4. 🔒

    Interview Ready

    Beat boss to unlock

    Model compression, A/B testing for ML, feature stores at scale. Hard problems with golden-answer comparison.

    5 items4.5 hrs
    Boss locked — finish Stage 3
  5. 🔒

    Final Prep + Certificate

    Pro

    Company-tagged problems only. Required 15-minute simulator capstone. Completion generates a shareable certificate.

    4 items3.5 hrs
    Unlock with Pro