DevOps, DataOps, MLOps
Completed by Ruwan Dissanayake
June 22, 2024
44 hours (approximately)
Ruwan Dissanayake'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: Containerization
- Category: MLOps (Machine Learning Operations)
- Category: Applied Machine Learning
- Category: Model Deployment
- Category: GitHub
- Category: AI Workflows
- Category: Hugging Face
- Category: GitHub Copilot
- Category: Application Deployment
- Category: Cloud Solutions
- Category: Big Data
- Category: Responsible AI
