Summary of "What is MLOps ? Why MLOps ? | Explained in simple words."
MLOps (Machine Learning Operations) is an extension of DevOps, where engineers work on automating the operations involved in machine learning models.
DevOps engineers work on stages such as defining, designing, developing, testing, deploying, and monitoring applications in the software development life cycle.
MLOps engineers automate the manual efforts involved in the software development life cycle of machine learning models.
MLOps engineers write CI/CD pipelines, create required infrastructure, onboard organizations to cloud platforms, and work on cost optimization for machine learning models.
MLOps is essentially DevOps for machine learning models.
To become an MLOps engineer, understanding DevOps principles and tools is beneficial, and transitioning from a DevOps background is common.
MLOps is considered a high-paying skill for the future, and the speaker plans to create a free "MLOps Zero to Hero" series on their YouTube channel.
Researchers/sources
- Abishek (speaker)
Category
Science and Nature
