


This isn’t optional anymore.
Most college workshops are tourism. You sit in a hall, someone shows slides about "the future of AI," you clap, take a selfie, post it on LinkedIn with 17 hashtags, and go back to watching tutorials you'll never finish.
We don't do that.
We show up, we build, we ship. You leave with a project running on a server with a URL you can send to your mom. Not a certificate. Not inspiration. A thing that works.
We're not teaching you to follow the roadmap. We're teaching you to build the roads
That's the difference between us and literally everyone else.
Actual engineering for YOU
Event agenda
Agentsphere
Automating Using First Principles
The flagship. The standard. The one that made colleges stop doing theory workshops.
What It Is
The Movement
Agentsphere isn't a workshop. It's a movement across 5 colleges where 2,200 students built 3,000 autonomous agents that are still running today. Not demos. Not tutorials. Production systems that save 24,000 hours every month.
This is the workshop that made tier-2 colleges realize their students could build systems that tier-1 colleges only theorize about.

by Nivas Salla
CEO, Learnapart
The Numbers That Matter
The Numbers That Matter
2,200+ builders who went from "I've heard of AI" to "I deployed an agent"
3,000+ agents created — and 70% are still actively running
620 projects shipped with GitHub repos you can actually clone
180 production deployments that people use daily
4.8/5 rating across every cohort
72% repeat invite rate — colleges don't bring you back unless it works
But here's the number that matters most: 76% built their first real project in this workshop. Their first. Not their tenth tutorial. Their first actual thing that works.
Strategy
The Format (How It Actually Works)
Duration: 6-hour intensive hands-on day + follow-up async sprints
Cohort size: ~180 builders per session
Mentor ratio: 1:25 (we're there when your code breaks)
Faculty involvement: 1 liaison per college (they see the magic happen)
What happens:
Hour 1-2: Strip AI down to first principles. No jargon. No hand-waving. You'll understand why LangChain exists, not just how to use it.
Hour 3-5: Build. Your hands are on the keyboard. We're debugging next to you when localhost refuses to cooperate.
Hour 6: Deploy. Ship. Demo. You leave with a live agent and a URL.
Post-workshop: Async sprints where you iterate, improve, and ship version 2.
Completion rate: 80% finish and deploy. The other 20%? They finish within a week with our post-workshop support.
Audience
Who This Is For
AI Talk
From Concept to Working Agent in One Weekend
The fast track. The sprint. The "I need to ship AI now" workshop.
What It Is
The Brain
AI in a Day is our 5-hour intensive that takes complete beginners and turns them into people with deployed AI projects. No fluff. No slides for the sake of slides. Just build, deploy, demo.
This is the workshop for students who don't have 6 hours across multiple days. They have one Saturday. And by Sunday morning, they have a project on GitHub.
Records
The Numbers That Matter
1,500+ builders who went from zero to shipped in one day
420 projects deployed and live
80% had never touched AI before walking in
86% built their first project during the workshop
4.6/5 rating — they came skeptical, left believers
60% repeat invite rate from colleges
Median time to ship: 28 hours from workshop start to deployed agent.
Most people spend 28 hours watching YouTube videos about AI. Our students spend 28 hours building and deploying.
Outcomes
What You Actually Build
A working AI system. Not a "hello world" script. Not copy-paste from ChatGPT. A functional prototype that:
Calls APIs intelligently
Processes input and generates output
Handles basic errors without crashing
Runs on a server you can share
Projects students shipped:
Twitter bot summarizers used by campus publications to digest threads
Call agents that handle simple support queries
Document processors that extract key info from PDFs
Content generators that write, edit, and format text
Workflow automators that connect tools and trigger actions
Strategy
The Format (How It Actually Works)
Workshop: Driving ROI with Data
Think Like a Founder. Build Like an Engineer.
The workshop without the startup theater. Pure systems thinking.
Idea
What It Is
Zero-to-One Systems strips away pitch decks, founder stories, and startup noise. What's left? Pure problem-solving architecture. 980 students learned to look at any messy real-world problem—campus administration, club coordination, hostel logistics—and rebuild it as a system. Not a company. Not a cap table. Just ruthless constraint mapping, leverage identification, and execution.
This is the workshop that teaches you to see the world differently. Every broken process becomes an opportunity. Every manual workflow becomes automation waiting to happen. Every "that's just how it works" becomes "that's fixable."
Records
The Numbers That Matter
980 builders who learned to think in systems, not just features
360 system prototypes built and deployed
140 real-world problems modeled from first principles
7 days average from workshop to first working system
42% confidence increase in "I can break down and solve complex problems"
4.6/5 rating from students who finally understood how things actually work
55% repeat invite rate from colleges who saw institutional problems get solved
But here's what matters most: Students stopped seeing problems as unchangeable and started seeing them as systems waiting to be rebuilt.
Outcomes
What You Actually Build
Not startups. Not pitch decks. Working system prototypes that solve real institutional problems.
A real system that:
Maps all actors, flows, constraints, and failure points
Identifies the leverage point where one change creates 10x impact
Automates the bottleneck that's killing efficiency
Runs with minimal human intervention
Can be handed off and maintained by non-technical people
Common systems students shipped:
Mess attendance & inventory system that reduced food waste by 30% using QR tracking + prediction algorithms
Club event coordination system that cut double-bookings from 40% to 3% with centralized resource calendars
Library return automation that dropped late returns by 65% using SMS/email reminder loops
Hostel maintenance tracking that reduced average fix time from 8 days to 2 days with automated assignment
Exam hall allocation optimizer that saved 12 hours of manual planning per semester
Strategy
The Format (How It Actually Works)
Duration: 5-hour intensive + 2-week build sprint
Cohort size: ~180 builders per session
Mentor ratio: 1:25 (we're mapping constraints with you)
Faculty involvement: Critical—they help identify real institutional problems
What happens:
Hour 1: Deconstruct a Real System
We pick a messy campus problem. Break it down live. Map actors, flows, constraints, failure points. No solution yet—just pure understanding of what's actually broken.
Hour 2: First Principles Rebuilding
Strip away legacy. If you were designing this from scratch, what would it look like? What's essential? What's waste? Where's the leverage point?
Hour 3: Constraint Mapping
What's stopping the ideal solution? Budget? People? Technology? Politics? We map every constraint and rank them by solvability. You learn to design around constraints, not pretend they don't exist.
Hour 4: Prototype Sprint
Build the minimum viable system. Just the core loop that proves it works. Wireframe, flowchart, or rough code—whatever communicates the system clearly.
Hour 5: Execution Planning
What gets built in the next 7 days? How do you test it? Who validates it? We don't leave you with theory—you leave with a buildable plan.
Post-workshop: 2-Week Build Sprint
Discord support. Office hours. We check in on day 3, day 7, day 14. Most systems are working by day 7. The rest by day 14.
Completion rate: 65% have a working system prototype within 14 days. The rest learned why their approach wouldn't work—which is just as valuable.
Mental Models
The Four Pillars (What You Actually Absorb)
NEW AGE ALGORITHMS: BREAKING THE MATRIX
AI Agents
Neural Architectures
SLM
RAG
Extreme Ownership
Zero-BS Output
The Attention Economy:
How Instagram and Google decide what goes viral. Spoiler: it's not luck. It's math you can learn.
Asymmetric
Leverages
NEW
One person with automation can do what 10 people do manually. We teach you to work smarter, not just harder.
Mental Models for Founders
Real engineers can explain their code to anyone. If you can't rebuild it from scratch, you didn't really build it.















