Online PGP in AI Product Builder by Vishlesan i-Hub IIT Patna

STARTING POINT

Tech Freshers

You're ready to switch to engineering with AI-native workflows that define software building today.

OperationsSupportMarketingSales

CURRENT ROLE

Final-year CS / IT / Engineering students, Recent CS Graduates, Junior Developers (0-1 yr)

EXPERIENCE

CS / IT students and recent graduates with 0-1 yrs experience

CURRENT WORK

You can write code in one language. You've built college projects and pushed code to GitHub, but never shipped a product.

PAIN POINTS

Your college projects lack polish. You've not deployed to a live URL. Your portfolio doesn't reflect the full-stack engineering with AI tools that startups expect.

GOAL

A product engineering internship while in college, or a first full-time SDE / Junior Product Engineer role with a portfolio that proves you can ship real products end-to-end.

Foundation

months 1–3

YOU WILL BE ABLE TO

Ship a deployed full-stack app, write JavaScript and Python comfortably, and use AI as a daily coding partner.

WHAT YOU ALREADY KNOW

–Computational thinking and basic problem decomposition
–Exposure to data structures and algorithms (from CS coursework)
–Working comfort with at least one programming language
–Basic Git, command line, and how the web works

What You'll Master

–F4: AI as a Coding Partner - Cursor and Claude Code with the discipline to evaluate AI-generated code critically
–F5-F7: Production-grade React + FastAPI + PostgreSQL stack - the depth most college projects do not reach
–F8: Foundation Studio - your first publicly deployed full-stack product with pull request history

YOUR FOCUS

–Move from "I can write code" to "I can ship real products" - learning the deployment, code review, and production hygiene that most CS degrees do not cover.
–Use AI for business thinking, not just coding

Core Business Modules

months 4–7

YOU WILL BE ABLE TO

Build, test, deploy, and instrument production-grade full-stack apps with AI integrations (LLM APIs, RAG, agents).

WHAT YOU'LL MASTER

–C1: Product Thinking & Design Fluency - Jobs-to-be-Done user research, spec writing, Figma, v0 by Vercel
–C2: Advanced Frontend (React + Next.js) - server components, performance
–C3: Advanced Backend (Python deep) - async workflows, authentication, clean architecture
–C4: Database Depth - Postgres advanced, Redis caching, query optimisation
–C5: Testing & Quality - Pytest, Playwright, verifying AI-generated code
–C6: Deployment & Operations - Docker, AWS Free Tier, GitHub Actions for continuous integration and deployment
–C7: Building with AI in Production (Software 3.0) large language model (LLM) APIs, Retrieval-Augmented Generation (RAG), Model ContextProtocol (MCP) basics, and AI agent builds
–Core Integration Sprint (1 week) - end-to-end product in 1-week timebox

YOUR SHIFT

–You're no longer "the CS student who can code" - you're the engineer who ships
–You can read a vague PM brief and turn it into a product requirements document, a design, and a working product
–You can explain and discuss technical trade-offs in code review with senior engineers

YOUR PROJECTS

–Razorpay-Style Payment Integration Demo - Python + React, webhooks, admin dashboard
–CRED Knowledge-Base RAG System - RAG over RBI guidelines with retrieval accuracy metrics
–Nykaa PDP Conversion Critique + A/B Test Design - 5 conversion-killers, Figma mocks
–Real-Time Cricket Score Aggregator - WebSockets, Postgres, React with reconnection

TOOLS YOU'LL USE

TypeScriptNext.jsRedisDockerAWS Free TierGitHub ActionsPytestPlaywrightLangChainChromaMCPOpenAI/Claude APIsFigmav0 by Vercel

Industry Readiness

months 8-10

YOU WILL BE ABLE TO

Reason about systems, build infrastructure for AI agents, and explain your career change with project evidence backed by real artifacts.

WHAT YOU'LL MASTER

–I1: System Design for Modern Engineers - high-level and low-level system design, scaling, caching, queues
–I2: Building Partial-Autonomy Products - products where AI generates and humans verify, with thoughtful human-AI interaction design
–I3: Building for Agents - Model Context Protocol (MCP) servers, llms.txt files, and agent-readable infrastructure
–I4: Production Hygiene - logs, traces, metrics, security fundamentals
–I5: DSA & Algorithmic Problem Solving - arrays, trees, graphs, dynamic programming, time-complexity reasoning
–Final Capstone (2 weeks) - real Indian-brand brief, end-to-end ownership, graded by IIT Patna faculty and industry mentors

YOUR UNIQUE VALUE

–You can reason about system design trade-offs (both high-level architecture and low-level details) in fresher technical interviews
–You can build infrastructure that AI agents can read (MCP servers and llms.txt files), a topic most freshers have not yet encountered
–Your data structures and algorithms (DSA) practice is targeted at entry-level technical interviews, not abstract competitive coding
–Your capstone is a graded, real-brand product - not a tutorial-following exercise

YOUR PROJECTS

–PhonePe merchant-health dashboard, Zerodha portfolio analytics, Swiggy operator dashboard, Cred lifecycle automation, or Razorpay-style fintech ops tool.
–Spec → Figma → Python backend → React frontend → AI integrations (LLM APIs, RAG, agents) (RAG / agents / MCP) → tests → AWS deploy with continuous integration and deployment → observability.

TOOLS YOU'LL USE

Excalidrawllms.txtSentryMCP serversAgent eval harnessesSystem design

career trajectory post programme

Software Engineer Intern · Trainee SDE

—Internship and trainee roles at Indian product startups, IT services firms, and early-stage product companies. Apply during your final year of college; many internships convert to a Pre-Placement Offer (PPO) or full-time role after graduation. Backed by your 8-artifact portfolio and visible AI-assisted commit and pull request history on GitHub.

Junior Frontend / Backend /Full-Stack Engineer

—First full-time SDE-1 (Software Development Engineer Level 1) and Junior Engineer roles at mid-market product companies, SaaS firms, and Indian product startups. Your portfolio answers the common "no real-world experience" objection that blocks most fresher applications.

Junior Product Engineer · AIApplication Developer (ambitious goal)

—Stronger candidacy at Indian product companies and high-growth startups for the new "Product Engineer" / "AI Application Developer" titles - backed by capstone and AI integration skills. Earned through portfolio quality, not promised.

STARTING POINT

Non-Tech Freshers

You haven't studied programming formally. You've written some Excel formulas and used basic tools, but never built real software.

HRCommerceMarketingContent

CURRENT ROLE

BCom Graduates, BBA Graduates, BA / BSc (non-CS) Graduates, Final- year non-tech students

EXPERIENCE

BCom / BBA / BA / BSc graduates with 0-1 yrs and no coding background

CURRENT WORK

You haven't studied programming formally. You've used basic tools but never built real software.

PAIN POINTS

You may not know coding yet or the difference between frontend and backend. Many resources assume a CS background.

GOAL

A structured pathway from absolute first principles to a portfolio strong enough to credibly compete for entry-level developer internships and roles.

Foundation

Months 1–3

YOU WILL BE ABLE TO

Write JavaScript and Python from scratch, build and deploy your first full-stack app, and use AI as a coding partner.

WHAT YOU ALREADY KNOW

–Structured thinking from your degree
–Working comfort with Excel formulas and basic productivity tools
–Curiosity and willingness to start from first principles
–Recognition that software engineering is becoming accessible to non CS backgrounds

YOUR FOCUS

–Move from "I am not sure I can code" to "I write JavaScript and Python comfortably" - the foundational ability every engineer needs, built patiently from first principles.

What is New for You

–F1: Programming Foundations - variables, loops, functions built from scratch
–F2-F3: Web Fundamentals and Version Control (Git) - the engineer's everyday toolkit, learned from zero
–F4: AI as a Coding Partner - Cursor and Claude Code as daily collaborators
–F5-F7: Frontend, Backend, and Database - the same full-stack the tech background peers learn, taught at a pace that lets you keep up
–F8: Foundation Studio - your first deployed product, with a public URL anyone can visit

Core

Months 4–7

YOU WILL BE ABLE TO

Build, test, deploy, and ship full-stack apps with AI features (LLM APIs, RAG pipelines, AI agents) alongside cohort peers from any background.

WHAT YOU'LL LEARN

–C1: Product Thinking & Design Fluency - Jobs-to-be-Done user research, spec writing, Figma, v0 by Vercel
–C2: Advanced Frontend (React + Next.js) - server components, performance
–C3: Advanced Backend (Python deep) - async workflows, authentication, clean architecture
–C4: Database Depth - Postgres advanced, Redis caching, query optimisation
–C5: Testing & Quality - Pytest, Playwright, verifying AI-generated code
–C6 Deployment & Operations - Docker, AWS Free Tier, GitHub Actions for continuous integration and deployment
–C7 Building with AI in Production (Software 3.0) - large language model (LLM) APIs, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP) basics, and AI agent builds
–Core Integration Sprint (1 week) - end-to-end product in 1-week timebox

YOUR SHIFT

–You build the same things tech-background peers do, using the same stack and going to the same depth.
–Your non-tech instinct for product (user empathy, communication) becomes a real advantage in Module C1 (Product Thinking and Design Fluency).
–Your portfolio starts to read like an engineer who ships, not someone who only follows tutorials.

YOUR PROJECTS

–Razorpay: Payment Integration Demo - Python + React, webhooks, admin dashboard
–CRED: Knowledge-Base RAG System - RAG over RBI guidelines with retrieval accuracy metrics
–Nykaa: PDP Conversion Critique + A/B Test Design - 5 conversion-killers, Figma mocks
–Cricket: Real-Time Score Aggregator - WebSockets, Postgres, React with reconnection

TOOLS YOU'LL MASTER

TypeScriptNext.jsRedisDockerAWS Free TierGitHub ActionsPytestPlaywrightLangChainChromaMCPOpenAI/Claude APIsFigmav0 by Vercel

Industry Readiness

Months 8–10

YOU WILL BE ABLE TO

Reason about systems, build infrastructure for AI agents, and present a portfolio on par with cohort peers from any background.

WHAT YOU'LL LEARN

–I1: System Design for Modern Engineers - high-level and low-level system design, scaling, caching, queues
–I2: Building Partial-Autonomy Products - products where AI generates and humans verify, with thoughtful human-AI interaction design
–I3: Building for Agents - Model Context Protocol (MCP) servers, llms.txt files, and agent-readable infrastructure
–I4: Production Hygiene - logs, traces, metrics, security fundamentals
–I5: DSA & Algorithmic Problem Solving - arrays, trees, graphs, dynamic programming, time-complexity reasoning
–Final Capstone (2 weeks) - real Indian-brand brief, end-to-end ownership, graded by IIT Patna faculty and industry mentors

YOUR UNIQUE VALUE

–You can present your work convincingly without leaning on a CS degree - your portfolio is the credential
–8 shipped artifacts override the common "no CS background" concern at the shortlisting stage
–Building infrastructure for AI agents (MCP servers, llms.txt files) puts you ahead of even most CS graduates
–Your career-change story (from "I have no coding background" to "I shipped 8 deployed products") is genuinely compelling in interviews

YOUR PROJECTS

–Final Capstone: Pick one named-brand brief - PhonePe merchant-health dashboard, Zerodha portfolio analytics, Swiggy operator dashboard, Cred lifecycle automation, or Razorpay-style fintech ops tool
–Pipeline: Spec → Figma → Python backend → React frontend → AI integrations (LLM APIs, RAG, agents / MCP) → tests → AWS deploy with CI/CD → observability

TOOLS YOU'LL MASTER

System design canvasesExcalidrawMCP serversllms.txtAgent eval harnessesSentry

CAREER TRACKS POST PROGRAMME

Trainee Software Engineer · Junior Web Developer

—Realistic first roles at IT services firms and early-stage startups. Yourportfolio answers the common "no CS background" concern at the shortlisting stage.

Junior Frontend / Backend Engineer (with strong portfolio)

—Achievable at Indian product startups for cohort members who invest deeply in the capstone and supporting artifacts. Junior Full-Stack Engineer and AI Application Developer (Junior) titles also reachable.

Junior Product Engineer / SDE-1 at established product companies (ambitious goal)

—Possible but not guaranteed. Depends on the strength of your portfolio, your individual performance during interviews, and your capstone grade. Stated honestly because a non-CS background can still be a factor at some screening stages.

STARTING POINT

Early-Career Switchers

You're ready to switch to engineering with AI-native workflows that define modern software development.

AssociateMedia ExecJr. MarketerContent Exec

Single-channel marketer upskilling to full-stack

CURRENT ROLE

Operations Associates, Customer Support, Marketing, Sales, Content, Junior IT, QA, Manual Testing, Customer Success

EXPERIENCE

Working professionals from non-engineering or junior IT or QA roles with 1-4 yrs experience

CURRENT WORK

You have 1-4 years in a non-engineering or junior IT role, with stakeholder communication and industry knowledge.

PAIN POINTS

Engineering job descriptions require proof of build capability. Your work is important but needs portfolio proof, modern stack skills, and AI coding familiarity.

GOAL

Translate your existing experience into an entry-level engineering role at a product-led company within 10 months - not a fresher reset, but a calibrated career change that respects your prior work.

Foundation

Months 1–3

YOU WILL BE ABLE TO

Write JavaScript and Python, ship a deployed full-stack app, and use AI as a coding partner.

WHAT YOU ALREADY KNOW

–Stakeholder communication and execution discipline under deadlines
–Comfort working in real production environments (operations, customer support, quality assurance, or junior IT)
–Knowledge of your current industry sector — fintech, SaaS, e-commerce, and similar
–Excel macros, basic scripting, or no-code tools (depending on background)

WHAT'S NEW FOR YOU

–F1: Programming Foundations (JavaScript) — variables, loops, functions, and objects, from first principles
–F4: AI as a Coding Partner — Cursor and Claude Code as your modern engineer's toolkit
–F5–F7: React + FastAPI + PostgreSQL — the production-grade stack at the depth your prior role did not require
–F8: Foundation Studio — your first publicly deployed product, as concrete evidence that you can ship software

YOUR FOCUS

–Reframe your prior experience as a real asset, not a liability. Your experience working in real production systems, your stakeholder communication skills, and your industry knowledge all compound when you bring them to engineering.

Core

Months 4–7

YOU WILL BE ABLE TO

Build, test, deploy, and operate full-stack apps with AI integrations — leveraging stakeholder skills you already have.

WHAT YOU'LL MASTER

–C1: Product Thinking & Design Fluency — Jobs-to-be-Done user research, spec writing, Figma, v0 by Vercel
–C2: Advanced Frontend (React + Next.js) — server components, performance
–C3: Advanced Backend (Python deep) — async workflows, authentication, clean architecture
–C4: Database Depth — Postgres advanced, Redis caching, query optimisation
–C5: Testing & Quality — Pytest, Playwright, verifying AI-generated code
–C6: Deployment & Operations — Docker, AWS Free Tier, GitHub Actions for continuous integration and deployment
–C7: Building with AI in Production (Software 3.0) — large language model (LLM) APIs, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP) basics, and AI agent builds
–Core Integration Sprint (1 week) — end-to-end product in 1-week timebox

YOUR SHIFT

–Module C1 (Product Thinking) is your unfair advantage because you have already worked with stakeholders for years.
–Your industry knowledge (operations service levels, support flows, marketing funnels) translates directly into engineering fluency.
–You build the way a senior engineer would scope — pragmatic, deadline-aware, and communication-first.

YOUR PROJECTS

–Razorpay: Payment Integration Demo — Python + React, webhooks, admin dashboard
–CRED: Knowledge-Base RAG System — RAG over RBI guidelines with retrieval accuracy metrics
–Nykaa: PDP Conversion Critique + A/B Test Design — 5 conversion-killers, Figma mocks
–Cricket: Real-Time Score Aggregator — WebSockets, Postgres, React with reconnection

TOOLS YOU'LL USE

TypeScriptNext.jsRedisDockerAWS Free TierGitHub ActionsPytestPlaywrightLangChainChromaMCPOpenAI/Claude APIsFigmav0 by Vercel

Industry Readiness

Months 8–10 · ~14 weeks

YOU WILL BE ABLE TO

Reason about systems, build infrastructure for AI agents, and explain your career change with project evidence backed by real artifacts.

WHAT YOU'LL MASTER

–I1: System Design for Modern Engineers — high-level and low-level system design, scaling, caching, queues
–I2: Building Partial-Autonomy Products — products where AI generates and humans verify, with thoughtful human–AI interaction design
–I3: Building for Agents — Model Context Protocol (MCP) servers, llms.txt files, and agent-readable infrastructure
–I4: Production Hygiene — logs, traces, metrics, security fundamentals
–I5: DSA & Algorithmic Problem Solving — arrays, trees, graphs, dynamic programming, time-complexity reasoning
–Final Capstone (2 weeks) — real Indian-brand brief, end-to-end ownership, graded by IIT Patna faculty and industry mentors

YOUR UNIQUE VALUE

–You can explain your career change to a recruiter in 2 minutes — "I bring engineering skills AND industry knowledge"
–System design intuition from your prior work in real production systems shows up in Module I1 (System Design for Modern Engineers)
–Building infrastructure for AI agents (Module I3) is at the frontier of engineering, putting you ahead of most working engineers
–Your portfolio + capstone + career-change story is a fundamentally different package from a fresher resume

YOUR PROJECTS

–Final Capstone: Pick one named-brand brief — PhonePe merchant-health dashboard, Zerodha portfolio analytics, Swiggy operator dashboard, Cred lifecycle automation, or Razorpay-style fintech ops tool
–Pipeline: Spec → Figma → Python backend → React frontend → AI integrations (LLM APIs, RAG, agents / MCP) → tests → AWS deploy with CI/CD → observability

TOOLS YOU'LL USE

System design canvasesExcalidrawMCP serversllms.txtAgent eval harnessesSentry

CAREER TRAJECTORY POST PROGRAMME

Junior Software Engineer / Application Engineer (lateral entry)

—Lateral entry at fintech, SaaS, customer-platform, and product startups - leveraging your existing industry knowledge. Operations background to Application Engineer at fintech firms; Marketing background to Junior Frontend Engineer at D2C companies; QA background to Junior Software Engineer at product startups.

Junior Frontend / Backend / Full-Stack Engineer

—Standard engineering track at Indian product startups and mid-market companies, evaluated alongside fresher cohort but with the career - change story as a tiebreaker. Backed by portfolio proof.

Junior Product Engineer / AI Product Builder (with career-change story)

—Stronger candidacy for new-tier roles where industry knowledge + AI- assisted coding skills both matter. Strongest case when the capstone is in your prior industry sector (fintech operations, support automation, marketing tooling).

Become an AI Product Builder with an online PGP in BuildStack AI

takeaways

What you will walk away with.

Full-Stack Product Engineering

AI-Native Coding Discipline

Software 3.0 in Production

A Portfolio That Stands Out

Pedagogy

How You Learn

Live Online Sessions

Project-Based Learning

AI-Native Workflow

Graded Capstone Project

Continuous DSA Strand

Your Portfolio

Graduate with proof, not just a certificate.

Personal Expense Tracker

RCTC-Style Train Search MVP

Foundation Capstone

Razorpay-Style Payment Demo

CRED Knowledge-Base RAG System

Nykaa PDP A/B Test + Figma Mocks

Real-Time Cricket Score Aggregator

Final Capstone (real- brand)

See where this programme takes you.

Tech Freshers

Foundation

Core Business Modules

Industry Readiness

Software Engineer Intern · Trainee SDE

Junior Frontend / Backend /Full-Stack Engineer

Junior Product Engineer · AIApplication Developer (ambitious goal)

Non-Tech Freshers

Foundation

Core

Industry Readiness

Trainee Software Engineer · Junior Web Developer

Junior Frontend / Backend Engineer (with strong portfolio)

Junior Product Engineer / SDE-1 at established product companies (ambitious goal)

Early-Career Switchers

Foundation

Core

Industry Readiness

Junior Software Engineer / Application Engineer (lateral entry)

Junior Frontend / Backend / Full-Stack Engineer

Junior Product Engineer / AI Product Builder (with career-change story)

Benefits

What You Earn At The End

Two Days Campus Immersion at IIT Patna

Certification by Vishlesan i-Hub, IIT Patna

Placement Opportunity fulfilled by Masai

Your Portfolio

Learn from those who've done it.

Saksham Arora

Sanjay Naresh Mitreja

Hritik Gupta

Vishal Singh

Shruti Grover

Deepak Kasera

Aman Raj

Saksham Arora

Sanjay Naresh Mitreja

Hritik Gupta

Vishal Singh

Shruti Grover

Deepak Kasera

Aman Raj

Your next 10 months could define the next 10 years of your career.

Your next 10 months could define
the next 10 years of your career.