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)
Notable Quotes
— 05:48 — « mlops engineer will also write the cicd pipeline but again for the machine learning model. »
— 10:16 — « if you join an organization as a mlops engineer you get to find the solutions because your organization might not even have set up mlops so you can become a first engineer and you can Define the solutions for them. »
— 12:27 — « it will be little difficult at least understand the basics of devops understand the principles of devops understand the culture of devops then you can move to mlops. »
Category
Science and Nature