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Becoming cloud-ready with Capital One programs

Here at Capital One, we understand that we can only be a tech-forward company innovating in the financial space if our associates are actively building their tech knowledge.

That’s why we have ensured our associates develop cloud-ready skills since we left our data centers behind and became an early adopter—among finance firms—of Amazon Web Services (AWS) to move to the public cloud. The agility, scalability and elasticity of the cloud are helping us build the bank of the future.

Our transition to the cloud pushed us to develop in-house training resources that help our associates learn, adapt and adopt new applicable skills. In other words, we encourage our associates to grow and continue to innovate alongside us. Learn about the programs below.

Tech College

Tech College, which started in 2016, is our engineer-designed, and associate-led, learning platform with thousands of free courses for any associate interested in learning more about the latest technology disciplines.

Our engineers design and teach the curriculum so that it addresses the latest advancements and their practical, everyday use. Associates learn how we can use their new skills to enhance the experiences we’re developing for our customers. Topics include, but are not limited to, software engineering, mobile, machine learning, cybersecurity and cloud computing. A mix of self-guided and live courses are offered to accommodate various learning styles and schedules.

Explore how Tech College helps our associates develop cutting-edge tech skills.

Capital One Developer Academy

We launched the Capital One Developer Academy (CODA) in 2017 to create a pathway into tech for non-computer science students from diverse backgrounds, majors, academic disciplines and experiences. The unique, intensive, six-month program prepares participants for a successful software engineering career at Capital One.

CODA participants gain programming knowledge and proficiency in JavaScript programming, cloud engineering, cybersecurity and more, learning to use the technology our engineers use every day. A team of software engineers, and learning professionals, teach nearly 200 different engineering topics, including voice driven applications, machine learning and cloud-computing. Students who graduate from the program move into the Technology Development Program, which offers a full-time position as a software engineer.

Learn more about CODA from a graduate of the program.

Machine Learning Engineering Training Program

The Machine Learning Engineering Training Program (MLETP) is a 160-hour program—approximately five months—designed for established software and data engineers with a focus on machine learning, artificial intelligence and data science. The skills-development program, which began in 2021, teaches the skills necessary to work in machine learning and AI.

MLETP is split between instructor-led content and classes students complete on their own time. Courses and topics focus on modeling, engineering and operations, industry and Capital One-specific tools, machine-learning workflows and data science. Scientists and engineers across Capital One’s machine-learning teams teach the courses and mentor students.

MLETP graduates can shift to a career in machine learning based on open job roles and discussions with their managers about career paths and goals.

Check out our Technology page to learn more about the available opportunities and how you too can help drive innovation.

Copyright © 2024 Opinions are those of the individual author. Statements are deemed accurate at the time of posting. Unless otherwise noted, Capital One is not affiliated with, or endorsed by, any company mentioned. All trademarks and intellectual property used or displayed are the property of their respective owners.

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