ServiceNow AI Bootcamp - Remote Internship
About the Role
ServiceNow is excited to offer a unique opportunity for undergraduate students to join our ServiceNow AI Bootcamp - Remote Internship. This immersive four-week bootcamp, running from December 15, 2025, to January 9, 2026, will equip you with practical AI skills and hands-on experience in a dynamic virtual environment. As a participant, you will engage in a comprehensive curriculum that covers the fundamentals of AI and machine learning, enhancing your understanding of this rapidly evolving field.
What You'll Do
- Participate in a four-week AI Bootcamp designed for undergraduate students.
- Commit to 4.5 hours per week of engaging virtual learning via Zoom.
- Learn the fundamentals of AI and machine learning, including deep learning advancements and their applications.
- Enhance your Python programming skills specifically for AI applications.
- Master data preprocessing and feature engineering techniques essential for AI projects.
- Work on hands-on projects that simulate real-world AI challenges.
- Complete a capstone project to showcase your learning and skills.
Requirements
- Must be an undergraduate student majoring in Computer Science, Computer Engineering, or Data Analytics.
- Experience in Python programming is required.
- Must attend the full duration of the bootcamp.
- Application deadline is October 15th.
Nice to Have
- Prior experience with machine learning frameworks such as TensorFlow or PyTorch.
- Familiarity with data visualization tools.
- Interest in AI applications in various industries.
What We Offer
- Gain comprehensive AI knowledge and skills that will enhance your resume.
- Collaborate with talented peers and learn from experienced instructors.
- Flexible virtual learning environment that accommodates your schedule.
- Opportunity to work on a capstone project that demonstrates your capabilities.
- Networking opportunities with professionals in the AI field.
The ServiceNow AI Bootcamp offers a unique opportunity for undergraduate students to gain practical AI skills in a flexible remote setting. Participants will engage in hands-on projects and complete a capstone project to enhance their resumes.
Who Will Succeed Here
Proficiency in Python programming, including libraries such as NumPy and Pandas for data manipulation, as well as experience with machine learning frameworks like TensorFlow or PyTorch for deep learning projects.
Self-motivated and disciplined remote worker who thrives in a virtual environment, demonstrating strong time management skills to complete projects and assignments within tight deadlines during the four-week bootcamp.
Eager to learn and adapt, with a foundational understanding of data preprocessing techniques and feature engineering, showcasing a proactive approach to tackling challenges in AI development.
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