edX
edXMLOps Tools: MLflow and Hugging Face
49 studentsBEGINNEREnglish
Korshub's take
Two Tools, One MLOps Workflow
MLflow and Hugging Face are complementary superpowers for machine learning operations. MLflow streamlines your entire lifecycle: experiment tracking, model versioning, and reproducibility. Hugging Face provides the deployment layer—storing pre-trained models, hosting them, and building interactive demos so stakeholders can test your work immediately.
The course is designed for both newcomers and experienced practitioners who want to level up. You'll master MLflow's powerful tracking system for understanding what worked and why, then learn how Hugging Face's community repositories and deployment infrastructure turn your work into live, shareable applications. By the end, you'll have a solid MLOps foundation that bridges research and production, whether you're breaking into the field or refining existing skills.
About this course
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.
Price
$449
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