Great for freshersIdeal for career switchers

Software Product Engineering Bootcamp

Stop learning tools in isolation — build and ship a real software product in 12 weeks.

Duration: 12 weeks
Duration
Sessions: 24
Sessions
Labs: 10
Labs
Projects: 1
Projects

What You'll Be Able To Do

After completing this course, you will confidently:

Turn business requirements into a working software product — not just isolated features
Build modern React frontends with components, forms, state, routing, and API integration
Build secure REST APIs in Python with FastAPI using a clean layered architecture
Design and model relational business data in PostgreSQL with correct relationships
Implement authentication, roles, and protected APIs with JWT
Build interconnected business modules: inventory, dealers, orders, notifications, dashboards
Integrate an AI assistant into a real product using LLM APIs and prompt engineering
Deploy a production-style application to the cloud with Docker and explain your architecture

What You'll Build

Real portfolio projects that showcase your skills to employers.

Inventory & Dealer Management Platform (Capstone)

Build a complete, production-style business platform from scratch over the full 12 weeks. It includes user management with roles, a product catalog with search and categories, inventory and stock tracking with low-stock monitoring, dealer registration and relationships, order creation and tracking, email and workflow notifications, business dashboards and reports, an AI assistant for product search and business queries, and full cloud deployment. You present it the way a professional engineer would — business requirements, database design, API design, frontend and backend architecture, cloud architecture, AI features, and deployment approach.

ReactPythonFastAPIPostgreSQLDockerAWSOpenAI API

Interview value:

A single, complete, deployed product with auth, real business modules, an AI feature, and a clear architecture story is far more convincing in interviews than a folder of disconnected tutorials. You can walk an interviewer through every layer and defend your decisions — exactly what hiring managers look for in product engineers.

Course Curriculum

12 weeks of structured, hands-on learning.

1Python for Application Development

Variables, functions, classes, and collections for real applications
JSON handling, error handling, and packages
Application development practices and project structure
Writing backend logic you can build on with confidence

Lab: Python Application Logic Warm-upDocker Lab

2React for Application Development

Components, props, and state
Forms and event handling
API integration from the frontend
Client-side routing for multi-page apps

Lab: React UI — Forms, State & RoutingDocker Lab

3SQL & Database Design

Tables, keys, and relationships
CRUD operations done correctly
Data modeling for business applications
Designing the schema for the platform

Lab: Model the Inventory & Dealer DatabaseDocker Lab

4Build the Application Foundation

Wiring a React frontend to a Python backend
PostgreSQL integration end to end
Your first complete CRUD-based application
Connecting frontend, backend, and database cleanly

Lab: End-to-End CRUD ApplicationDocker Lab

5Backend Architecture Fundamentals

Layered architecture: controllers, services, repositories
Validation and error handling
How professional backend systems are structured
Refactoring toward a maintainable codebase

Lab: Refactor to a Layered BackendDocker Lab

6Authentication & Authorization

Login and registration flows
JWT-based authentication
User roles and permissions
Protecting APIs and routes

Lab: Secure the Platform with JWT & RolesDocker Lab

7Inventory Management Module

Product management and categories
Stock tracking and inventory updates
Low-stock monitoring
Implementing real business workflows

Lab: Build the Inventory ModuleDocker Lab

8Dealer & Order Management Modules

Dealer registration, profiles, and relationships
Order creation, tracking, and history
Interconnected business features
Email and workflow notifications

Lab: Build Dealer, Order & Notification FeaturesDocker Lab

9Cloud Fundamentals

Compute, storage, databases, and networking
Deployment concepts for modern applications
How cloud services fit together
Preparing the platform for the cloud

Lab: Provision Cloud Resources for the PlatformAWS Free Tier

10Microservices Fundamentals

Monolith vs microservices — when each makes sense
Service boundaries and API communication
Event-driven thinking and scalability concepts
Designing for growth without over-engineering

Lab: Identify Service Boundaries for the PlatformLive Demo

11AI Fundamentals for Developers

LLM concepts and prompt engineering
Calling AI APIs from your backend
Designing AI product features that add real value
Building the platform's AI assistant

Lab: Add an AI Assistant to the PlatformDocker Lab

12Deployment, Production Readiness & Capstone

Docker, environment management, and deployment strategy
Application monitoring concepts
Final capstone build and architecture presentation
Explaining your product like a professional engineer

Lab: Deploy & Present the Capstone PlatformDocker Lab

Hands-On Labs Included

You build these yourself — guided exercises with real tools, not passive demos.

React UI — Forms, State & Routing

Docker Lab

2.5 hours

ReactJavaScript

Model the Inventory & Dealer Database

Docker Lab

2 hours

PostgreSQLSQL

End-to-End CRUD Application

Docker Lab

3 hours

ReactFastAPIPostgreSQL

Refactor to a Layered Backend

Docker Lab

2.5 hours

PythonFastAPI

Secure the Platform with JWT & Roles

Docker Lab

2.5 hours

FastAPIJWT

Build the Inventory Module

Docker Lab

3 hours

ReactFastAPIPostgreSQL

Add an AI Assistant to the Platform

Docker Lab

2.5 hours

PythonOpenAI API

Deploy & Present the Capstone Platform

Docker Lab

3 hours

DockerAWS

Who Is This For?

Freshers & Graduates

Just graduated or finishing your degree? This course gives you the practical skills and portfolio projects that campus placements and entry-level interviews demand.

Career Switchers

Moving from another domain into tech? The structured curriculum and real-world projects bridge the gap between theory and what employers actually look for.

Ideal If You Are:

Fresh graduates and computer science students who can code but have never built a full product
Self-taught developers who want to learn how real software products are engineered
Frontend developers who want backend, cloud, and AI skills (and vice versa)
Professionals and aspiring founders who want to build SaaS-style products

Prerequisites

Basic programming comfort in any language (variables, functions, loops)
Willingness to learn both Python and React from fundamentals
A laptop with at least 8 GB RAM and stable internet
No prior full-stack, cloud, or AI experience required

Career Support Included

We don't just teach you — we help you land the job.

Mock Interviews

Practice with real-world interview scenarios. Get feedback on technical depth, communication, and problem-solving approach.

Resume Review

One-on-one review sessions to craft a resume that highlights your projects, skills, and achievements the right way.

Portfolio Coaching

Guidance on presenting your course projects as professional portfolio pieces that stand out to hiring managers.

LinkedIn Optimization

Tips and templates to optimize your LinkedIn profile so recruiters find you and reach out.

Learn from Industry Practitioners

Our instructors are working professionals who build production systems daily. They bring real-world experience, battle-tested patterns, and the kind of practical insight that textbooks can't teach.

Course Details

Format	Live Online
Duration	12 weeks
Schedule	24 sessions
Batch Size	Max 15 students
Certificate	Yes, on completion
Practice	Hands-on labs and a portfolio project
Price	Enquire for pricing

Want the full details to review or share?

Get the course brochure (PDF) with curriculum, outcomes, and pricing — sent to your email.

Frequently Asked Questions

How is this different from a normal full-stack course?

Most courses teach technologies in isolation — a bit of React here, some Python there. This bootcamp teaches software product development. Everything you learn is applied to building one real Inventory & Dealer Management Platform end to end, so you finish knowing how all the pieces fit together, not just how each tool works on its own.

Do I need prior experience with React, Python, cloud, or AI?

No. We start from fundamentals in Python and React and build up to architecture, cloud, microservices, and AI. You only need basic programming comfort in any language and the willingness to learn.

What will I have at the end?

A complete, deployed, AI-powered business platform that you built yourself, plus the ability to explain its database design, API design, frontend and backend architecture, cloud setup, and AI features the way a professional engineer would. That single portfolio project is your strongest interview asset.

Is AI integration really included?

Yes. You build a working AI assistant into the platform — product search assistance, inventory insights, and a business query assistant — using LLM APIs and prompt engineering. AI integration is one of the most in-demand skills right now and it is a core part of this bootcamp.

What is the time commitment?

It runs over 12 weeks with live instructor-led sessions plus hands-on lab and project work between sessions. It is project-based, so most of your time is spent building the platform rather than passively watching.

What roles does this prepare me for?

Software Engineer, Backend Developer, Full Stack Developer, Product Engineer, Application Developer, Cloud Application Developer, and Junior Software Architect. It also prepares you to build your own software products and SaaS applications.

How much does it cost?

The bootcamp is priced at ₹15,000 per month over 3 months. For current offers, batch dates, and enrollment, use the Call or WhatsApp button on this page and our team will help you.