- 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 Khouloud Mnassri
July 16, 2025
44 hours (approximately)
Khouloud Mnassri'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
