DevOps, DataOps, MLOps
Completed by Disa Ray
January 17, 2024
44 hours (approximately)
Disa Ray'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: Cloud Solutions
- Category: Big Data
- Category: Responsible AI
- Category: Serverless Computing
- Category: GitHub Copilot
- Category: Application Deployment
- Category: MLOps (Machine Learning Operations)
- Category: GitHub
- Category: AI Workflows
- Category: Hugging Face
- Category: Containerization
- Category: Model Deployment
