AI Innovation & Leadership Bootcamp by Stanford & Oxford Alumni – Muscat Oman
Learn to Lead the Future with the Power of AI
Muscat, Oman
AI, Innovation & Leadership Bootcamp
By Stanford & Oxford Alumni
In this bootcamp, students gain the skills to design real-world AI solutions while being guided by world-class mentors. With exposure to ethical AI foundations, teamwork, and presentation at its core, the program empowers teens to grow into capable young innovators – equipped with a portfolio-worthy AI project and essential skills that strengthen both their confidence and college applications.
Program Details
Location
Muscat, Oman
Venue
ABQ Azzan bin Qais International School MQ Campus
Dates
2nd to 4th Jan, 2026
(Friday to Sunday)
Duration
3 Days
Time
9AM - 5PM GST
Age Groups
13-18 Years
How It Works
Learn & Collaborate
Students begin with interactive workshops, problem framing, and dynamic team formation. They explore real-world challenges in healthcare, education, environment, and more while getting hands-on with beginner-friendly AI tools to spark their first ideas.
Build & Transform
Teams dive into rapid prototyping, using AI platforms to design features, create intelligent interactions, and test their solutions in real time. With mentor guidance, they refine their prototypes, apply ethical AI principles, and level up their product thinking.
Present & Shine
On the final day, students pitch their AI solutions to expert judges, share live demos, and receive professional feedback. All the teams join to celebrate as they earn their certificates, showcase their achievements, and build confidence as young innovators.
From Insight to Action: The 3-Day Experience
Find Problems Worth Solving
- Identify real-world problems worth solving
- Form diverse, complementary student teams
- Learn Stanford-style problem framing techniques
- Explore impact areas like health, education
- Create roadmap and first AI interaction
Build Your AI Solution
- Build core features using AI tools
- Develop intelligent, interactive app behavior
- Learn ethics: bias, privacy, fairness
- Create Model Card for responsible use
- Test prototype and refine rapidly
Polish & Perfect Your Pitch
- Conduct user testing to improve UX
- Fix issues and polish app visuals
- Add advanced features and integrations
- Craft compelling story-driven pitch deck
- Practice demo delivery with mentor support
Present & Celebrate
- Final rehearse on real presentation setup
- Deliver polished pitch to expert judges
- Present app during interactive demo fair
- Celebrate achievements in awards ceremony
- Receive certificate and portfolio-ready project
Learning Outcomes
• Build A Real, Portfolio-Ready AI Project
• Master Ethical & Responsible AI Thinking
• Develop Teamwork & Leadership Skills
• Gain Confidence in Presentation & Pitching
• Build Standout College Applications Profile
Meet Your Mentors
Chan Leem
MA in International Policy, School of Humanities and Sciences
About Chan Leem
Chanwool (Chan) Leem, from Bucheon, South Korea, is pursuing the Ford Dorsey master's in international policy at Stanford University. He graduated from Seoul National University with bachelor's degrees in Hispanic language and literature, and political science and international relations. Chan's research interests include developing effective international rules for cyberspace that meaningfully reflect the viewpoints and interests of nongovernmental stakeholders.
Before Stanford, Chan served as a diplomat. He represented South Korea at U.N. cybersecurity negotiations, spearheaded the country's first-ever participation at a NATO summit, negotiated and implemented military agreements with the United States Forces Korea, and worked on South Korea's diplomatic rapprochement toward Cuba. For military duty, he served in the 8th U.S. Army as a KATUSA sergeant (E-5) and received an Army Commendation Medal. He received the Foreign Ministry's Outstanding Policy Report Award in 2021 and was a Fulbright Scholarship candidate in 2022.
Andrew Couch
PhD in Management Science and Engineering
About Andrew Couch
Andrew Couch, from Huntsville, Alabama, is pursuing a PhD in management science and engineering with a focus on decision and risk analysis at Stanford School of Engineering. At the University of Alabama in Huntsville, he earned both a bachelor's degree and a master's degree in industrial and systems engineering. At 17, he earned a bachelor's degree in management from Thomas Edison State University.
Andrew aspires to advance the economic well-being of everyday individuals, small businesses, and rural communities through applied research in data-driven decision-making under uncertainty. With interests in data science, he has conducted engineering research that tackles barriers in STEM education, school safety, and nursing shortages throughout Alabama.
Through his service as an Engineering Research Fellow at the National Institute of Standards and Technology, his research identifies novel pathways to technology industrialization for small enterprises lacking adequate technology access. Andrew is a widely published author of engineering research.
Sang Truong
Computer Science PhD
About Sang Truong
Sang Truong is a Computer Science Ph.D. student at Stanford University and a researcher at the Stanford AI Lab, where he develops methods to evaluate and align AI systems with human values. His work combines tools from measurement theory, preference learning, and decision theory to ensure AI models are safe, reliable, and fair.
At Stanford, he has contributed to major research on language model evaluation, introducing adaptive testing frameworks like Item Response Theory to improve benchmarking efficiency and robustness. His research spans foundational ML theory and real-world applications, with active contributions to Stanford-led initiatives such as HELM and the Human-Centered AI community.
Jocelyn
PhD candidate in Neurosciences at Stanford University
About Jocelyn A. Ricard
I am currently a PhD candidate in Neurosciences at Stanford University. I am a National Science Foundation (NSF) Graduate Research Fellow, a National Academies of Sciences Engineering and Medicine Ford Foundation Predoctoral Scholar, an Institute of International Education (IIE) Quad Fellow, and a Stanford University Knight-Hennessy Scholar!
My research investigates the impact of neighborhood disadvantage on adolescent neurodevelopment and its downstream effects on substance use. Additionally, I examine how methodological practices in human neuroimaging impact the generalizability of neuroscience research.
Prior to starting at Stanford University, I worked as a post-baccalaureate computational research assistant at the Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) in Berlin, Germany, followed by a research assistant position in neuroscience at Yale University.
Mentors featured are from prior cohorts.
Join the 3-Day Innovation Experience
Seize this powerful chance to learn under elite mentorship and help shape the future through AI.
Muscat, Oman
9AM - 5PM GST
Registration Deadline: 2025-12-31
For more information, please contact us at this number: +968 938 51002
Frequently Asked Questions
What is the AI, Innovation & Leadership Bootcamp by Stanford & Oxford Alumni?
A comprehensive 3-day AI-driven program where learners aged 13-18 create hands-on technology initiatives under expert mentors’ direction, examining implementations in healthcare, jurisprudence, ethics, governance, and decision science.
What will I gain upon completion?
You’ll gain an official completion certificate from A Learning Lab, signed by the Stanford & Oxford Alumni.
Do I need any technical foundation?
No former technical foundation is needed. The program is crafted to welcome students with diverse levels of technical comprehension.
What category of projects will we develop?
Teams will build AI-enhanced solutions confronting practical challenges in sectors like healthcare diagnostics, legal operations, ethical decision-making, governance frameworks, and data-driven decision science.
*All bootcamps are delivered by mentors who are either current students, graduate students, alumni, or professors. Our programs are facilitated by individuals from these profiles and do not represent a direct association with the university.