eLearn » Data Science » Complete MLOps Bootcamp With 10+ End To End ML Projects

Complete MLOps Bootcamp With 10+ End To End ML Projects

Data Science, Machine learning,
12
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What you’ll learn-51 hours

  • Build scalable MLOps pipelines with Git, Docker, and CI/CD integration.
  • Implement MLFlow and DVC for model versioning and experiment tracking.
  • Deploy end-to-end ML models with AWS SageMaker and Huggingface.
  • Automate ETL pipelines and ML workflows using Apache Airflow and Astro.
  • Monitor ML systems using Grafana and PostgreSQL for real-time insights.

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