This MLOps training course covers how to create ML pipelines, model deployment, monitor the performance in production, and adopt best practices from DevOps.
MLOps stands for machine learning operations. The term MLOps is derived from DevOps (Development Operations). It is used to streamline the machine learning process from development to deployment. The MLOps include training machine learning models, experiment tracking, model optimization, creating ML pipelines, saving and serving models, and monitoring and maintaining models in production. In short, you are automating all the processes from development to deployment, and you are constantly monitoring the logs, metrics, and performance.
Delegates attending this MLOps workshop, should have:
- Experience with Python, Docker, command line
- A deep understanding of machine learning models