Are you ready to take your machine learning expertise to the next level? Join our dynamic MLOps course and discover how machine learning has been transformed from a research tool into a key component of modern applications used by millions. In this hands-on course, you’ll master essential topics like MLflow, Data Pipelines, RestAPI development, and containerization. Our expert instructors will guide you through every step, ensuring you gain a deep understanding of how to build, deploy, and manage machine learning models in production environments. By the end of the course, you’ll not only be proficient in modern MLOps tools and techniques but also confident in your ability to deploy and maintain robust machine-learning solutions. This course is part of a micro-credential program offered by the Translational AI Center at Iowa State University.

For more information regarding the course including: Learning Outcomes, Assessments, and a Course Outline please visit the Machine Learning Operations course page from Iowa State Online.

Prerequisites

• Python programming
• Basic understanding of deep learning

Intended Audience
The course is intended for a broad audience within the spectrum of the software and technology industry, including software engineers, data scientists, data engineers, data analysts, research scientists, and software developers. The course is designed to provide a basic understanding of MLOps and create a basic pipeline for machine learning in production.