DevOps, DataOps, MLOps
Completed by Alexander Sprenger
September 15, 2025
44 hours (approximately)
Alexander Sprenger'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: Serverless Computing
- Category: MLOps (Machine Learning Operations)
- Category: Responsible AI
- Category: Big Data
- Category: AI Workflows
- Category: Web Frameworks
- Category: Cloud-Native Computing
- Category: Application Deployment
- Category: Command-Line Interface
- Category: DevOps
- Category: GitHub Copilot
- Category: Machine Learning
