DevOps, DataOps, MLOps
Completed by Vinod Srivastava
April 19, 2024
44 hours (approximately)
Vinod Srivastava'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: AI Workflows
- Category: Hugging Face
- Category: Applied Machine Learning
- Category: Containerization
- Category: Machine Learning
- Category: MLOps (Machine Learning Operations)
- Category: GitHub
- Category: Responsible AI
- Category: Serverless Computing
- Category: GitHub Copilot
- Category: Application Deployment
