DevOps, DataOps, MLOps
Completed by AADITYA NARAYAN SHAKYA
June 24, 2024
44 hours (approximately)
AADITYA NARAYAN SHAKYA'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: Big Data
- Category: Responsible AI
- Category: Serverless Computing
- Category: Application Deployment
- Category: Applied Machine Learning
- Category: Model Deployment
- Category: Containerization
- Category: GitHub Copilot
- Category: MLOps (Machine Learning Operations)
- Category: GitHub
- Category: Machine Learning
- Category: AI Workflows
