- MLOps (Machine Learning Operations)
- Responsible AI
- Docker (Software)
- Rust (Programming Language)
- Hugging Face
- Tensorflow
- PyTorch (Machine Learning Library)
- DevOps
- CI/CD
- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
- Machine Learning
DevOps, DataOps, MLOps
Completed by Krishna Teja Nallanukala
December 25, 2023
44 hours (approximately)
Krishna Teja Nallanukala'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
