Course Wiki

Homework — MLOps Zoomcamp Module 3

If you want to run MLFlow with Docker, you can do this:

MLOps Zoomcamp › Module 3: Orchestration & ML Pipelines › Homework

Notes

More information here.

Resources

Mlflow

If you want to run MLFlow with Docker, you can do this:

Create a dockerfile for mlflow, e.g. mlflow.dockerfile:

FROM python:3.10-slim
RUN pip install mlflow==2.12.1

EXPOSE 5000
CMD [ \
    "mlflow", "server", \
    "--backend-store-uri", "sqlite:///home/mlflow_data/mlflow.db", \
    "--host", "0.0.0.0", \
    "--port", "5000" \
]

Add it to the docker-compose.yaml:

  mlflow:
    build:
      context: .
      dockerfile: mlflow.dockerfile
    ports:
      - "5000:5000"
    volumes:
      - "${PWD}/mlflow_data:/home/mlflow_data/"

In your code, make sure you use the same version of mlflow (mlflow==2.12.1).

When you run it, mlflow should be accessible at http://mlflow:5000.

Notes

Notes previous editions

• 2022 Prefect notes
• 2023 Prefect notes
• 2024 Mage notes

Notes 2025

Did you take notes? Add them here:

• [2025 Cohort

  Running Airflow + MLflow using Docker by André Calatré](https://github.com/calatre/mlops-zoomcamp/tree/main/03-orchestration)

  * [Week 3 - workflow orchestration & Prefect by hannarud](https://github.com/hannarud/mlops-zoomcamp-2025/blob/main/week3_notes.md) * [Orchestration with Prefect Notes and Code by Muhammad Shifa](https://github.com/MuhammadShifa/mlops-zoomcamp2025/blob/main/03-orchestration/README.md) * Send a PR, add your notes above this line

  Key concepts

  • Docker
  • MLflow
  • Workflow Orchestration
  • Deployment Automation

  Related notes

  • mlops-m01-2-vm-in-aws
  • mlops-m01-homework
  • mlops-m02-experiment-tracking-with-mlflow
  • mlops-m02-getting-started-with-mlflow
  • mlops-m02-homework
  • mlops-m02-mlflow-benefits-limitations-and-alternatives
  • mlops-m02-mlflow-in-practice
  • mlops-m02-model-registry
  • mlops-m03-introduction-to-ml-pipelines
  • mlops-m03-turning-the-notebook-into-a-python-script
  • mlops-m03-using-an-orchestrator
  • mlops-m04-mlops-zoomcamp-4-6-batch-scoring-with-mage
  • mlops-m04-web-services-deploying-models-with-flask-and-doc
  • mlops-m04-web-services-getting-the-models-from-the-model-r
  • mlops-m05-debugging-with-test-suites-and-reports
  • mlops-m06-homework
  • mlops-m06-integration-tests-with-docker-compose
  • mlops-m07-course-project

  Sources

  • Lesson file