ServiceNow AI Bootcamp at ServiceNow

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Jan, 26

Salary

0.0

Posted On

03 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Machine Learning, Python, Data Preprocessing, Feature Engineering, Model Evaluation, Deep Learning, Project-Based Learning

Industry

Software Development

Description

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. If you want to make work, work better, we want you. To learn more, check out our Early Career Page! At ServiceNow, we are dedicated to fostering the next generation of AI innovators. We provide cutting-edge educational programs designed to equip students with the skills and knowledge to excel in the rapidly evolving field of artificial intelligence. Job Description Boot Camp Overview: Are you a motivated and ambitious undergraduate student with a passion for Artificial Intelligence? ServiceNow invites you to explore our winter AI Bootcamp where you can develop practical AI skills and gain hands-on experience in a dynamic, fast-paced, and immersive environment. This four-week bootcamp is designed to provide a comprehensive introduction to the core concepts and techniques of AI, with a focus on practical application and real-world problem-solving. You'll learn from experienced instructors, work on challenging projects, and collaborate with a cohort of talented peers. Dates: December 15, 2025 – January 9, 2026 Location: Virtually via Zoom Duration: 4.5 hours a week What You'll Learn: Fundamentals of AI and Machine Learning: Gain a solid understanding of key AI concepts, including the application and evaluation of supervised and unsupervised learning, regression, classification, and clustering. Deep Learning: Explore the recent advancements in transformers and LLMs and how they changed the SDLC Python for AI: Enhance your Python programming skills and learn how to apply them in the enterprise software industry Data Preprocessing and Feature Engineering: Master the techniques for cleaning, transforming, and preparing data for AI models. Model Evaluation: Learn how to evaluate the performance of AI models in real-world applications. Project-Based Learning: Apply your knowledge and skills to hands-on projects that simulate real-world AI challenges. Innovative Learning Structure: A blend of lectures, hands-on laboratories, and collaborative projects fostering a holistic learning experience. The bootcamp concludes with a capstone project, enabling you to showcase your learning journey in a practical setup. Qualifications Prerequisites: Undergraduate student majoring or minoring in Computer Science (CS), Computer Engineering (CE), or Data Analytics. ***(graduating no earlier than Spring/Summer 2027)*** Experience in Python programming. Availability to attend the full duration of the boot camp from December 15, 2025, to January 9, 2026. Application Process: Interested candidates should apply by October 15th. Please submit a resume, a cover letter, and any related project work or AI experience. In your cover letter please share: Why do you want to participate in this AI bootcamp? Where do you see AI helping you in the future? Applications are evaluated continuously; therefore, early submission is recommended as spots are limited! Evaluation and Interview: Post-application submission, qualified candidates will undergo a 45-minute virtual interview, combining behavioral assessment and a technical discussion. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Responsibilities

Participants will develop practical AI skills and gain hands-on experience in a dynamic environment. The bootcamp includes lectures, hands-on laboratories, and collaborative projects culminating in a capstone project.