DevOps, DataOps, MLOps
Completed by Viacheslav Matrizaev
March 4, 2024
44 hours (approximately)
Viacheslav Matrizaev'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: Model Deployment
- Category: Applied Machine Learning
- Category: Containerization
- Category: AI Workflows
- Category: Hugging Face
- Category: Machine Learning
- Category: Rust (Programming Language)
- Category: MLOps (Machine Learning Operations)
- Category: Cloud Solutions
- Category: Big Data
- Category: Responsible AI
- Category: Serverless Computing
