DevOps, DataOps, MLOps
Completed by OLUWAFEMI AYODELE SHOBOWALE
June 6, 2023
44 hours (approximately)
OLUWAFEMI AYODELE SHOBOWALE'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-Native Computing
- Category: Application Deployment
- Category: Applied Machine Learning
- Category: Model Deployment
- Category: Containerization
- Category: GitHub Copilot
- Category: Responsible AI
- Category: Big Data
- Category: AI Workflows
- Category: MLOps (Machine Learning Operations)
- Category: Hugging Face
- Category: Rust (Programming Language)
