- Command-Line Interface
- Artificial Intelligence and Machine Learning (AI/ML)
- Serverless Computing
- PyTorch (Machine Learning Library)
- GitHub
- Cloud Solutions
- CI/CD
- Machine Learning
- Containerization
- Tensorflow
- Responsible AI
- Web Frameworks
DevOps, DataOps, MLOps
Completed by Mackenzie Brigham
May 11, 2025
44 hours (approximately)
Mackenzie Brigham'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
