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.