MLOps Foundation

Prepare to build enterprise-grade machine learning services and infrastructure in MLOps Foundation, a 2-day instructor-led course tailored for data professionals. This comprehensive program covers essential topics, including the principles of MLOps architecture, deployment strategies, and technologies for machine learning processes. Gain hands-on experience with Seldon Core, Kubeflow and Ray. Prerequisites include intermediate programming skills, mathematics foundation, data analysis familiarity, and a willingness to review pre-course materials. Elevate your skills and apply machine learning effectively in operational contexts. Enroll today to advance your career and stay competitive in the ever-evolving field of MLOps.

Duration

2 Days

AUDIENCE

Data Scientists, Data Engineers, Developers, IT and QA Staff, Technical Managers, DevOps Engineers.

Prerequisites

Participants should have intermediate programming skills (preferably in Python), a foundational understanding of mathematics and statistics, experience with data analysis using tools like Pandas, a grasp of computer science fundamentals, familiarity with common operating systems and basic command-line operations, and a willingness to review pre-course materials to ensure they have a foundational understanding of machine learning concepts before the course begins.

These prerequisites will help participants engage effectively with the course material and hands-on labs, making the learning experience more rewarding. Attendees will also need to be able to ssh into a supplied cloud instance during the course to complete the lab work.

Upon completing this course, participants will be able to:

• Understand the fundamental concepts of incorporating machine learning into production processes
• Gain hands-on experience with battle-tested frameworks for training, deploying, serving and
• monitoring machine learning models
• Learn how to adopt a CI/CD approach to machine learning workflows
• Become familiar with the architecture of machine learning processes and services
• Gain exposure to prevailing technologies in the rapidly developing space of MLOps
• Learn how to implement scalable solutions to support machine learning workflows
• Deploy machine learning models using various strategies, including on-premises and cloud deployment

Register 21 days before class start date and save 10%! Enter discount code EARLY10 during registration.

Register 21 days before class start date and save $250! Enter discount code EARLY250 during registration.

Is there a discount available for current students?

UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Asynchronous courses are excluded from this offer.

What is the cancellation and refund policy?

Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.