- Model Evaluation
- Machine Learning Software
- Docker (Software)
- Model Deployment
- DevOps
- MLOps (Machine Learning Operations)
- GitHub
- Hugging Face
- Cloud Deployment
- CI/CD
- Microsoft Azure
- Containerization
MLOps Tools: MLflow and Hugging Face
Completed by Nynaru Krishnapriya
June 7, 2024
26 hours (approximately)
Nynaru Krishnapriya's account is verified. Coursera certifies their successful completion of MLOps Tools: MLflow and Hugging Face
What you will learn
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.
Skills you will gain
