Undergraduate and postgraduate AI programs
Student AI Programs
AI bootcamps, hackathons, semester electives, and capstone mentorship for university students. Built around the same production AI systems we ship to enterprise customers — not toy examples.
Graduating students who can use AI tools well — and graduating students who can build with AI — have become two different placement profiles. Universities increasingly need both. AI Guru runs four formats of student programs, sized to the university's calendar, budget, and academic objectives.
Four Program Formats
Most universities start with a bootcamp or hackathon as a first engagement. Semester electives and capstone mentorship are typically commissioned after a successful first cohort.
AI Bootcamp (3–5 Days)
Hands-on intensive built around real production use cases. Students work on prompt engineering, building with LLMs, no-code AI workflows, and one substantial project. Suitable for first-year through final-year students. Cohorts of 50 to 300+. Delivered onsite or virtual.
Student AI Hackathon
24-hour or 48-hour AI hackathon for student teams. Real problem statements drawn from the university's industry partners or from AI Guru's own product roadmap. Mentored by AI Guru engineers throughout. Final pitches judged by a panel that includes Ritesh and senior AI Guru engineering leads.
Semester Elective
A full-semester AI elective co-delivered with university faculty. AI Guru provides curriculum, weekly content, lab assignments, and four guest lectures from senior practitioners across the semester. Final assessment includes a capstone project mentored by AI Guru.
Capstone Mentorship
For students undertaking final-year capstone or thesis projects in AI. AI Guru provides 1:1 mentorship across 8–12 weeks, problem framing support, code review, and final defence preparation. Suitable for cohorts of 20 to 60 students.
What Students Walk Away With
Working AI projects
Not slides, not toy notebooks. Functioning projects that students can demonstrate in placement interviews — chatbots, RAG applications, automation workflows, multi-agent systems, depending on format.
Portfolio artifacts
GitHub repositories, deployed demos, written project reports, and short demo videos. Suitable for adding to LinkedIn, resumes, and university placement portfolios.
A direct line into AI Guru
Standout students from every cohort are invited to apply to AI Guru's University Internship Program — where students from partner universities work alongside AI Guru engineers on production AI systems.
What the University Receives
Why This Program, From This Team
Built on real production AI
The use cases we teach come from MillMind, Plazee, Vaja.ai, AgentGuru, and 15+ other AI products in production. Not from textbooks or curated tutorials.
Internship pipeline as outcome
Top students from partner-university cohorts are invited into AI Guru's internship program — alongside students from Marwadi, Sardar Patel, Silver Oak, Georgia Tech, Carnegie Mellon, and UIUC.
Calibrated for placements
Programs are designed against the AI skills that hiring managers in BFSI, IT services, manufacturing, and product companies actually screen for in 2026.
Faculty engagement included
Whichever student program a university chooses, the faculty teaching adjacent courses are invited to a half-day briefing on what students learned. No additional charge.
Talk to Us About a Student Program
Most student programs are commissioned by Heads of Department, Directors of Centres of Excellence, or Training & Placement Officers. The first step is a 30-minute call to understand the academic calendar, target cohort, and outcomes the university wants to measure.