- Microsoft Copilot
- DevOps
- Tensorflow
- PyTorch (Machine Learning Library)
- MLOps (Machine Learning Operations)
- Docker (Software)
- Applied Machine Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Rust (Programming Language)
- Responsible AI
- Cloud Solutions
- Machine Learning
DevOps, DataOps, MLOps
Completed by Yassine EL GHALLALI
May 18, 2024
44 hours (approximately)
Yassine EL GHALLALI'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
