DevOps, DataOps, MLOps
Completed by Tilmann Steinmetz
June 25, 2024
44 hours (approximately)
Tilmann Steinmetz'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)
