Dive into a comprehensive 10-hour course exploring the intricacies of MLOps, comparing it with DevOps and understanding its significance in modern machine learning workflows. Learn end-to-end MLOps implementation over three days, covering basics, deployment strategies, and advanced concepts. Explore continuous integration techniques and master model tracking using MLFlow. Join the MLOps Live Community Session for interactive learning and networking opportunities with fellow practitioners.
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
