Admissions officers want to see initiative, technical depth, and real projects — not participation certificates from paid programs.
You'll ship a working AI agent — deployed code on GitHub that you can demo in interviews and link on your application. Not a slideshow.
Building an AI agent independently shows colleges you're self-driven and technically capable — far more impressive than paying for a name-brand summer camp.
The process of building something from scratch gives you authentic stories for "Why AI?" essays and specific examples for interviews.
With deep knowledge of AI systems, you can think beyond how problems can be solved using AI as a tool.
Everything you need to know before applying — eligibility, fees, and deadlines.
High School Students (Grades 9 to 12). Middle School Students inquire via email.
Some familiarity with Python is helpful
Program Fee: $999 (all inclusive)
Admitted students will be emailed a link for online payment.
Payment plans available.
Using advanced AI tools
Students get to make pratical projects and showcase it in college application.
By the end of this course, you'll have built a working AI agent like one of these — not a toy, but something that actually solves a problem.
An AI that understands questions, pulls from a knowledge base, remembers context across conversations, and escalates when it can't help.
Conversational AIRecommends products based on preferences, handles common objections, and qualifies potential customers — all powered by LLM reasoning.
Recommendation + NLPTakes a destination and budget, searches for options, builds a day-by-day itinerary, and adjusts based on your feedback — using tool-calling APIs.
Multi-Tool AgentA 10-session AI bootcamp covering foundations, hands-on coding, and a final real impactful project.
Learn from someone who builds production AI systems — not someone who read about it in a textbook.
Saniya has spent nearly a decade building production machine learning systems across companies like
IBM — multi-agent search ,recommendation engines for pharma,
and creating own LLMs that improved reasoning capacity. Saniya completed her Master's in AI from IIT Jodhpur and
has done multiple research projects in Generative AI.Learn more about her work on LinkedIn and her BlogsLinkedIn
and Blogs
Saniya has taught multiple high school students and is now launching a summer program where more students can learn
about AI and use it.
Saniya believes high schoolers deserve to learn AI from someone who
actually builds it every day — not from pre-recorded slides or grad students.
One cohort. 10 Sessions. A project you'll keep forever.
Everything parents and students ask before signing up.
Basic familiarity with any Python helps We teach Python fundamentals in Week 1. What matters most is curiosity and willingness to learn.
High school students (grades 9–12), typically ages 14–18. The content is rigorous but accessible — we meet students where they are.
100% live over Zoom. Every session is interactive with screen sharing, pair programming , and Q&A. Sessions are recorded in case you miss one.
A working AI agent (their own code on GitHub), a prompt engineering reference guide, and a portfolio project they can showcase on college applications.
Those programs cost 2x more and are taught by grad students. This course is taught by a working data scientist with 9+ years building production AI, in a cohort of 10, using cutting-edge tools like Claude Code.
Yes — we want motivated students regardless of budget. Contact us to discuss payment plans or need-based discounts.