- MLOps (Machine Learning Operations)
- Responsible AI
- Docker (Software)
- Rust (Programming Language)
- Hugging Face
- Tensorflow
- PyTorch (Machine Learning Library)
- DevOps
- CI/CD
- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
- Machine Learning
DevOps, DataOps, MLOps
Completed by Zoe Caballero DomÃnguez
January 22, 2024
44 hours (approximately)
Zoe Caballero DomÃnguez'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
