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: GitHub
- Category: Command-Line Interface
- Category: Cloud-Native Computing
- Category: GitHub Copilot
- Category: Big Data
- Category: AI Workflows
- Category: Serverless Computing
- Category: Machine Learning
- Category: DevOps
- Category: Responsible AI
- Category: Model Deployment
- Category: Rust (Programming Language)
