- Serverless Computing
- CI/CD
- Docker (Software)
- Artificial Intelligence and Machine Learning (AI/ML)
- Tensorflow
- Cloud Solutions
- Containerization
- MLOps (Machine Learning Operations)
- GitHub
- Machine Learning
- Command-Line Interface
- Responsible AI
DevOps, DataOps, MLOps
Completed by Mandar J Raut
July 6, 2024
44 hours (approximately)
Mandar J Raut'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
