DevOps, DataOps, MLOps
Completed by BRANISLAV POPOVIC
July 18, 2024
44 hours (approximately)
BRANISLAV POPOVIC'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: Machine Learning
- Category: Application Deployment
- Category: Big Data
- Category: AI Workflows
- Category: GitHub Copilot
- Category: GitHub
- Category: Containerization
- Category: Hugging Face
- Category: Applied Machine Learning
- Category: Cloud-Native Computing
- Category: Model Deployment
- Category: MLOps (Machine Learning Operations)
