DevOps, DataOps, MLOps
Completed by Giorgio Fratti
November 1, 2024
44 hours (approximately)
Giorgio Fratti'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
- Category: MLOps (Machine Learning Operations)
- Category: GitHub
- Category: Cloud Solutions
- Category: GitHub Copilot
- Category: Big Data
- Category: Responsible AI
- Category: Serverless Computing
- Category: Application Deployment
- Category: Model Deployment
- Category: Applied Machine Learning
- Category: Containerization
- Category: DevOps
