Shypd.aiThe largest open index of AI toolsenergy-forecasting is a Research & Education tool that provides a full-stack MLOps framework. It offers a 7-lesson free course on building, deploying, and monitoring end-to-end ML batch systems for energy consumption forecasting.
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energy-forecasting is a comprehensive MLOps framework designed to teach machine learning engineering (MLE) and MLOps principles through a practical, hands-on approach. This repository contains a 7-lesson free course that guides users through building a production-ready ML batch system. The primary focus is on engineering a scalable system for forecasting hourly energy consumption levels in Denmark, integrating MLOps best practices. Users will learn to build, train, serve, and monitor an ML system using a batch architecture, incorporating tools like an experiment tracker, model registry, feature store, Docker, Airflow, and GitHub Actions. The course is suitable for intermediate to advanced MLEs and SWEs looking to transition into MLE, providing 2.5 hours of reading and video materials.
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