DevOps, DataOps, MLOps
Completed by Mario Jiménez Gutiérrez
July 9, 2024
44 hours (approximately)
Mario Jiménez Gutiérrez'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: Tensorflow
- Category: Responsible AI
- Category: CI/CD
- Category: Containerization
- Category: Machine Learning
- Category: Microsoft Copilot
- Category: Hugging Face
- Category: Applied Machine Learning
- Category: GitHub
- Category: Rust (Programming Language)
- Category: Big Data
- Category: Cloud Solutions
