MLOps – Machine Learning Operations

Course Description

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 one of 6 courses in the Foundations in AI pilot Micro-Credential pathway offered by the Translational AI Center at Iowa State University.

Complete any 3 courses listed below to earn the Foundations in AI badge:

• Machine Learning Operations (MLOps)
• End-to-End Computer Vision
• Generative Models
• Mastering PyTorch
• End-to-End Natural Language Processing
• Interpretability in AI

Learn more about Micro-Credentials at Iowa State University!

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.

Course Procedures

The course starts on September 9, 2024. All coursework must be completed by October 31, 2024, in order to earn the micro-credential badge. You will continue to have access to the course materials until August 31, 2025. The approximate time to complete this course is 16 hours. 

This course has an instructional period from September 9 to September 30, 2024. During this instructional period, course materials will be released weekly and live synchronous sessions will be held. You may complete the course materials at your own pace. Live Zoom meetings will be conducted for interactive coding sessions. A suitable time for these live sessions will be determined through a group poll. The recordings of those sessions will be available soon after each meeting.

You will receive the Machine Learning Operations (MLOps) micro-credential badge upon successful completion of the course assessments.

Course Materials

Course materials are provided within the course. No additional purchase is required.

Contact Information

Contact isopd@iastate.edu for more information.

Course Developer

The Translational AI Center breaks down disciplinary silos to bring together core Iowa State artificial intelligence researchers and subject matter experts interested in applying new technologies to their work. For more information, visit Translational AI Center at Iowa State University

Instructor

Aditya Balu, Data Scientist

Aditya Balu is a data scientist in the Translational AI Center (TrAC) at Iowa State University. His research interests are in (i) Geometry-aware scientific machine learning (ii) Distributed and Decentralized Deep Learning (iii) Geometry-aware computational simulation tools.

Aditya also works on several topics in AI and its applications to diverse domains such as healthcare imaging, transportation, manufacturing, design, etc.

As part of TrAC, Aditya has organized several tutorials and workshops at reputed conferences such as CVPR, AAAI, and Supercomputing. He also has several publications in Neurips, ICML, CVPR and AAAI.

Learn more about this instructor