- CI/CD
- Rust (Programming Language)
- Containerization
- GitHub
- Docker (Software)
- Machine Learning
- PyTorch (Machine Learning Library)
- MLOps (Machine Learning Operations)
- Applied Machine Learning
- Hugging Face
- Serverless Computing
- Tensorflow
DevOps, DataOps, MLOps
Completed by KE ZHU
June 26, 2023
44 hours (approximately)
KE ZHU's account is verified. Coursera certifies their successful completion of DevOps, DataOps, MLOps
What you will learn
Build operations pipelines using DevOps, DataOps, and MLOps
Explain the principles and practices of MLOps (i.e., data management, model training and development, continuous integration and delivery, etc.)
Build and deploy machine learning models in a production environment using MLOps tools and platforms.
Skills you will gain
