Introduction to MLOps: What, Why, and How

Introduction to MLOps: What, Why, and How

Explore the fundamentals of MLOps in this 56-minute video lecture. Delve into the importance of MLOps, its challenges, and how it differs from DevOps. Learn about reusable pipelines, continuous training, and the MLOps lifecycle. Discover the benefits of implementing MLOps practices and how they address common challenges in AI/ML projects. Gain insights into data science aspects such as skewness and model statistics. Watch a practical demonstration of an MLOps pipeline and automation techniques. Understand how MLOps can streamline AI/ML processes, reduce time-to-market, and improve overall efficiency in machine learning projects.