1~10 min
Discover what you'll build
Identify a real problem and shape a small AI product idea you can try this week.
Continue hereStudent Program Family · Two pathways
Amplify with AI
Engineering students build and ship with AI-Native Capability. All other streams design workflows with Applied Intelligence. Pick a pathway below — the journey updates in place.
Find Your AI Use CaseJoin Engineering CohortCohort fees & contributionBuilder Kickoff · Sundays 11 AM ISTChoose your pathway
Weekly live session every Sunday at 11 AM IST — reserve your spot. New here? Start with ideation. Not sure which path fits you? Find your path.
Amplify pathways
Choose your pathway
Engineering students build systems. Everyone else designs workflows — same Amplify family, different journeys below.
AI-Native Capability · Engineering track
Weekly live session
Amplify with AI – Builder Kickoff
Every Sunday · 11:00 AM IST. Every Sunday at 11 AM IST — a live session on building with AI, the Builder Challenge, fellowship paths, and the ATRISI builder ecosystem.
Reserve your spotPilot wave complete
Amplify Builder Challenge
Wave 1 submissions are closed. Explore the builder community, start ideation, or register interest for the 8-day engineering cohort. The challenge stays open as a self-paced guide — new waves will be announced.
Your Builder Track journey
Learn by building — from first idea to shipped product to the full AI-native stack.
Join the 8-Day AI-Native Capability Cohort anytime, or start with the 7-day Builder Challenge and ideation when you want extra practice before structured learning.
27 days
Try the Builder Challenge
Build and share one small AI tool in public — GitHub, live URL, short demo, and a reflection on what you learned.
3Learn & build
Join the 8-Day AI-Native Capability Cohort
Structured daily support, the full AI-native stack, and mentorship to build systematically — open to learners at any stage.
Join cohort4~45–60 min
Set up your AI-native stack
Install Cursor, GitHub, and Railway after you register — so Day 1 feels ready, not rushed.
58 days
Ship your intelligent system
Build, deploy, and demo a live AI product in public with the cohort beside you.
AI-Native Capability · 8-Day AI-Native Capability Cohort
For CS, IT, and engineering students building the prototype you choose.
Build → Ship → Deploy → Iterate. You bring the idea; the cohort gives you Cursor, GitHub, Railway, and daily support to ship a working prototype in 8 days. Not a software bootcamp for non-engineers — see Applied Intelligence if you want workflow design without a code-first stack.
Prework: 45–60 minutes · Day 1 includes an introductory session
Already in the cohort? Start cohort prework
Builder Track · Core Idea
AI should not replace student thinking. It should amplify it.
Executable
Junior Level
AI for learning and productivity
Prompting as thinking
No-code and low-code workflows
Academic portfolio projects
Conceptual + Builder
Senior Level
ML and deep learning foundations
RAG and assistant design
Feedback-driven systems
Capstone intelligent system
Builder Track · Flagship Workshop
Building Intelligent Systems: From Classical ML to AI That Learns
This is not just a coding workshop. This is not just theory.
Engineering students build the mental model and practical system skills to create their first AI system that improves over time.
Stage 1: Rules to ML
Understand Intelligence
Why rule-based systems fail, how Machine Learning emerged, and why machines needed to learn from patterns.
Stage 2: Classical ML
Learn How Machines Learn
Regression, classification, training data, features, predictions, and experimentation with real data.
Stage 3: Deep Learning
Scale Intelligence
Neural networks, representation learning, and how data plus compute created modern AI capability.
Stage 4: LLMs + RAG
Move From Models to Systems
How systems like ChatGPT use context, retrieval, knowledge, tools, workflows, and JoaLLM-style intelligence layers.
Stage 5: User to Builder
Build Your Own AI System
Create assistants using real data, design workflows, and automate thinking tasks around practical student use cases.
Stage 6: Feedback Loops
Make It Learn
Add evaluation, feedback, data structuring, and iterative improvement so the system gets better over time.
Stage 7: Future of AI
Understand Intelligence at Scale
Explore AI as a horizontal layer, institutional intelligence, and systems that continuously evolve.
Builder Track · What Students Build
Engineering students do not just learn. They build.
Each project connects ML thinking, system design, real data, and iterative improvement.
AI Study Assistant
Research Companion
Resume Reviewer
Domain-Specific Chatbot
Builder Track · Capstone
Build an AI system that improves every week without changing the model.
This introduces real ML thinking, system design, evaluation, feedback, and iterative intelligence.
Who This Track Is For
CS, IT, and engineering students ready to ship code.
Computer science, IT, and engineering undergraduates or postgraduates
Students comfortable installing dev tools and deploying a small app
Learners who want Cursor, GitHub, and Railway in their stack
Skills and Outcomes
A complete view for engineering students and institutions.
Skills Developed
Machine Learning intuition
AI system design
Data and knowledge structuring
Workflow automation
Feedback-driven improvement
Program Outcomes
A working AI system
Understanding of ML evolution
Ability to design intelligent workflows
Confidence to build with AI
Institution-Ready Formats
Start with a workshop. Scale into a full student capability program.
Amplify can be packaged for a single high-impact session, a builder bootcamp, a multi-week program, or a semester-linked engineering cohort with capstone and demo day outputs.
8 Days
8-Day AI-Native Capability Cohort
Build and demo the AI prototype you choose
1 Day
Awareness Workshop
Intro to AI systems
2 Days
Bootcamp
Hands-on exposure
3 Days
Flagship Workshop
Build-first experience
4-6 Weeks
Program
Structured capability
8-12 Weeks
Capstone Lab
Deep system building
Program Theme
From learning AI to amplifying intelligence.
Most students today use AI to move faster. Amplify with AI helps them understand, design, and build systems that make intelligence reusable — whether through code or workflow design.
Students are already
using AI tools
generating content
solving assignments faster
Amplify helps them start
building systems
understanding how AI evolves
designing intelligence
Institutional Impact
Resonance equips faculty. Amplify equips students.
Together, they give colleges a coherent path toward AI-ready teaching, student projects, and visible innovation outcomes.
Students
Practical AI capability, portfolio development, and employability boost.
Faculty
A structured student pathway that complements AI-enabled teaching and project mentoring.
Institution
AI readiness, stronger project outputs, and a visible innovation ecosystem.
Strategic Packaging
Workshop to program to advanced tracks.
Viewing: AI-Native Capability
Program
Amplify with AI as the student capability family.
Workshop
Building Intelligent Systems as the 1-3 day entry point.
Funnel
Workshop to program to advanced tracks, research, or product.
Do not just learn AI. Build systems that learn.