Learn / ML Engineer
ML Engineer Track

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

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

    Submit boss to unlock

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

    8 items2.5 hrs
    Submit the Stage 1 boss to unlock

  3. Applied Practice

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

    6 items3.5 hrs
    Submit the Stage 2 boss to unlock

  4. Interview Ready

    Submit boss to unlock

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

    5 items4.5 hrs
    Submit the Stage 3 boss to unlock

  5. Final Prep + Certificate

    Pro

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

    3 items3.5 hrs
    Unlock with Pro