ServiceNow AI.Accelerate Bootcamp

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

AI.Accelerate Overview: 

Are you a technically curious and ambitious undergraduate student with a passion for Artificial Intelligence? ServiceNow invites you to explore our AI.Accelerate program where you can develop practical AI skills and gain hands-on experience in a dynamic, fast-paced, and immersive environment.  

This eight-week unpaid 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: June 15 – July 31, 2026 (Virtual) + Week 8—beginning of August (In Person) 

• Location: Virtually via Zoom  

• Duration: 4 hours a week (plus homework) 

What You'll Learn: 

• Agentic AI Foundations: Understand what makes an AI system "agentic" — including autonomy, reasoning, and action-taking — and how LLMs are evolving from chat tools into decision-making agents.  

• Agentic Design Patterns: Explore key architectural patterns including React, chain-of-thought, tool use, and memory, and understand the difference between single-agent and multi-agent systems and when to use each.  

• Prompt Engineering: Learn techniques for writing reliable, production-grade prompts that drive consistent and predictable agent behavior at scale.  

• Building Agents: Design agents that use tools, APIs, and external data sources, and learn how to structure agent memory — both short-term and long-term — for complex, multi-step tasks.  

• Multi-Agent Orchestration: Build and manage multi-agent workflows where agents collaborate, delegate, and hand off tasks to accomplish goals that no single agent could complete alone.  

• Evaluation Frameworks: Learn why evaluations are the most critical part of building AI systems and how to design frameworks that define what to measure and how to measure it effectively.  

• AI Safety & Responsible Use: Understand real-world failure modes including hallucination, prompt injection, and behavioral drift, and learn how to build guardrails and safety checks into agentic pipelines.  

• Capstone Project: Design, build, evaluate, and defend an AI agent from scratch — putting every concept from the program into practice and presenting your work to a panel of ServiceNow engineers and leaders. 

Innovative Learning Structure: 

• A blend of lectures, hands-on laboratories, and collaborative projects fostering a cohort- based, hands on learning experience.  

• The program concludes with an in-person experience where participants showcase their capstone project, explore career opportunities at ServiceNow, and connect with the broader engineering community. 

• please note: this is an unpaid program and is not an internship

Qualifications

To be successful in this role you: 

• Have experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.

• Are an Undergraduate student majoring or minoring in Computer Science (CS), Computer Engineeri