Program Cost: INR 7999.00 (includes GST)
A hands-on, build-first program for engineering students and fresh graduates who know the basics, but struggle to build end-to-end products with confidence.
Intent-first thinking, API contracts, and product framing.
Daily live code-along sessions. Build real apps from scratch.
Ship to AWS with proper authentication, DB, and best practices.
Who it’s for, who it’s not for, and exactly what you’ll build.
Core philosophy: Stop preparing. Start building.
Build-first warning: If you don’t code daily, you won’t get the outcomes.
Applied software engineering, real deployments, and interview-ready product thinking.
Clear format, consistent schedule, and a prep runway before you start.
Duration
2 months
Format
Online
Schedule
Weekdays • 2 hours daily (live code-along)
Bonus: Free prep access before core sessions
Your portfolio will have real apps — not screenshots, not toy demos.
Keystone Project requires:
You’ll leave with projects you can demo on calls, explain in interviews, and post on LinkedIn.
Measurable deliverables + real confidence.
4
Deployed projects
20+
APIs built
↑
Real dev confidence
◎
Public proof of work
★
Stronger placement readiness
⟶
Stop preparing. Start building.
Join the Engineering Launchpad and ship projects you can defend in interviews.
Tip: Add your form link to the Apply button, and a PDF/drive link to the brochure button.
Explore modules and expand each card to view lessons.
This module introduces learners to Vibe Coding fundamentals by shifting focus from coding to intent. Learners define the emotional, experiential, and functional purpose of a web app. The module emphasizes clarity, constraint engineering, and monolit…
Lesson 1.1: What Is Vibe Coding?
Lesson 1.2: Intent Modeling
Lesson 1.3: Constraint Engineering
This module translates intent into execution by teaching energy mapping—how data and interactions flow through a system. Learners build and deploy a simple single-flow web app, using AI as a collaborator. Emphasis is on clarity, linear workflows, an…
Lesson 2.1: Energy Mapping Basics
Lesson 2.2: AI-Assisted Development
Lesson 2.3: Deployment Fundamentals
This module teaches learners to move beyond monolithic thinking into modular system design. Learners break applications into components, define workflows, and manage internal complexity. The focus is on system clarity, scalability, and preventing ac…
Lesson 3.1: From Monolith to Modules
Lesson 3.2: Workflow & State Design
Lesson 3.3: Complexity Reduction
This module focuses on working safely with AI by managing hallucinations and unpredictability. Learners design deterministic prompt zones, set creativity boundaries, and implement multi-pass reasoning loops. The outcome is a modular, reliable web ap…
Lesson 4.1: Understanding AI Hallucination
Lesson 4.2: Prompt Guardrails
Lesson 4.3: Testing & Deployment
This module introduces adaptive, AI-driven systems with variable workflows. Learners design apps that respond dynamically to user inputs and context. Emphasis is placed on managing complexity, defining AI behavior boundaries, and designing systems t…
Lesson 5.1: Variable Workflow Design
Lesson 5.2: Defining AI Behavior
Lesson 5.3: Complexity Scoring
The final guided module prepares learners to ship production-ready AI web apps. Learners optimize UX, implement evaluation loops, and deploy their third app. The module also introduces AEO and GEO principles to ensure AI discoverability and long-ter…
Lesson 6.1: Prompt Chaining & Evaluation
Lesson 6.2: UX Simplification
Lesson 6.3: Final Deployment & Optimization
Capstone Design
Capstone Build
Capstone Defense