- Cloud Solutions
- Containerization
- MLOps (Machine Learning Operations)
- CI/CD
- Serverless Computing
- Responsible AI
- Microsoft Copilot
- PyTorch (Machine Learning Library)
- Docker (Software)
- Applied Machine Learning
- Rust (Programming Language)
- Big Data
DevOps, DataOps, MLOps
Completed by Camila Ulman
February 2, 2024
44 hours (approximately)
Camila Ulman'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
