- Rust (Programming Language)
- Command-Line Interface
- Tensorflow
- CI/CD
- Cloud Solutions
- PyTorch (Machine Learning Library)
- GitHub
- Big Data
- Docker (Software)
- Web Frameworks
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning
DevOps, DataOps, MLOps
Completed by Rashika Gupta
June 22, 2024
44 hours (approximately)
Rashika Gupta'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
