- Responsible AI
- Containerization
- PyTorch (Machine Learning Library)
- MLOps (Machine Learning Operations)
- Rust (Programming Language)
- GitHub
- Tensorflow
- Serverless Computing
- Docker (Software)
- Applied Machine Learning
- Hugging Face
- Cloud Solutions
DevOps, DataOps, MLOps
Completed by Roxane ZOUNDI
August 12, 2024
44 hours (approximately)
Roxane ZOUNDI'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
