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Deadline to Die

Phase 5: Distributed Systems & MLOps

Phase 5: Distributed Systems & MLOps

In this phase, we learn how to move from local scripts to production-grade distributed systems.

🗺️ Learning Path

  1. Orchestration: Managing complex workflows with Airflow, Dagster, and Prefect.
  2. MLOps Tracking: Managing the ML lifecycle with MLflow and DVC.

🥅 Goals

  • Build and orchestrate DAGs (Directed Acyclic Graphs).
  • Track experiments, parameters, and models.
  • Version your datasets alongside your code.