This course covers the differences between DevOps and MLOps, the importance of MLOps, end-to-end implementation of MLOps with machine learning, deployment, continuous integration, and model tracking using MLFlow. The course aims to teach the skills needed for implementing MLOps in practice. The teaching method includes live community sessions and practical implementation sessions. The course is intended for individuals interested in learning about MLOps and its application in machine learning projects.
Overview
Syllabus
Devops Vs MLOPS- Understand The Differences And Why IT is Important.
MLOps Live Community Session Announcement.
Day 1- MLOPS End To End Implementation- Machine Learning.
Day 2- MLOPS End To End Implementation From Basics- Machine Learning.
Day 3- MLOPS End To End Implementation With Deployment- Machine Learning.
Day 4- MLOPS Continuous Integration And Model Tracking Using MLFlow- Machine Learning.
Taught by
Krish Naik
