MLOps Tools: MLflow and Hugging Face

Master MLFlow and Hugging Face, two powerful open-source platforms for MLOps: MLflow : Streamline machine learning lifecycle Manage projects and models Use powerful tracking system Interact with registered models End-to-end lifecycle examples Hugging Face: Collaborate and deploy models Store datasets and models Create live interactive demos Leverage community repositories Key Takeaways: Understand MLOps fundamentals Fine-tune and deploy containerized models Apply MLOps concepts to real-world use cases Ideal for aspiring MLOps professionals or experienced practitioners looking to enhance their skills. Break into the field or level up your proficiency in machine learning operations.

• Create new MLflow projects to create and register models.
• Use Hugging Face models and datasets to build your own APIs.
• Package and deploy Hugging Face to the Cloud using automation.