DevOps, DataOps, MLOps
Completed by KE ZHU
June 26, 2023
44 hours (approximately)
KE ZHU'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: Machine Learning
- Category: Rust (Programming Language)
- Category: AI Workflows
- Category: Cloud-Native Computing
- Category: Hugging Face
- Category: Containerization
- Category: Applied Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Machine Learning Methods
- Category: Model Deployment
- Category: Responsible AI
- Category: Serverless Computing
