- DevOps
- Big Data
- Cloud Solutions
- PyTorch (Machine Learning Library)
- Tensorflow
- Machine Learning
- Web Frameworks
- Docker (Software)
- GitHub
- Containerization
- Rust (Programming Language)
- Serverless Computing
DevOps, DataOps, MLOps
Completed by Rohit jaiswal
January 24, 2025
44 hours (approximately)
Rohit jaiswal'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

