MLOps Pipeline Design and Implementation - Batch 1

MLOps Pipeline Design and Implementation: From Concept to Production: Building Scalable Machine Learning Systems

This comprehensive 10-week course is designed for data scientists, machine learning engineers, and software developers looking to enhance their skills in deploying and managing machine learning models in production environments. The course covers the entire MLOps lifecycle, from data preparation to model deployment and monitoring.

Students will learn how to design and implement end-to-end MLOps pipelines, integrate continuous integration and delivery practices for ML models, and apply best practices for model monitoring and automated retraining. Through hands-on projects and real-world case studies, participants will gain practical experience with popular MLOps tools and cloud platforms.

By the end of the course, students will be equipped with the knowledge and skills to bridge the gap between experimental machine learning and production-ready systems, enabling them to build scalable and efficient ML pipelines in various industrial applications.