MLOps Certified Professional MLOCP

MLOps is a core function of Machine Learning engineering, focused on streamlining the process of taking machine learning models to production, and then maintaining and monitoring them. MLOps is a collaborative function, often comprising data scientists, devops engineers, and IT. Major Phases — what it takes to master MLOps

Framing ML problems from business objectives. …
Architect ML and data solu

tions for the problem. …
Data preparation and processing — part of data engineering. …
Model training and experimentation — data science. …
Building and automating ML pipelines. Here are some of the technical skills required to become an MLOps engineer:

Ability to design and implement cloud solutions (AWS, Azure, or GCP)
Experience with Docker and Kubernetes. Good understanding of Linux. Knowledge of frameworks such as Keras, PyTorch, Tensorflow. MLOps Certified Professional (MLOCP) certification program is designed for meeting a challenges of MLOps in the project. Certified professional would be able to implement MLOps in the project easily.