★ The Kiran Academy's most comprehensive engineering program — Java · Python · Data · React in one structured roadmap
Flagship Combo · Java · Python · Data Science · React
▲ Most comprehensive program we offer

The engineer every company wants to hire.

The AI Full Stack Engineering Program combines Java, Python, analytics, data science, and React into one connected roadmap. Not five courses thrown together — one deliberate system that builds your profile layer by layer until it is impossible to ignore.

Java Full Stack
Python Development
Analytics + Data Science
React Frontend
01
Five technologies, one coherent story

Most multi-skill programs feel like a stack of disconnected short courses. This one is built as a connected system — every phase feeds the next, and the result is a profile that makes sense to any technical interviewer.

02
Engineering depth plus data range

Java and Python give you application capability. Analytics and data science give you the layer most engineers lack. Together they create a profile that is genuinely broader without feeling scattered.

03
Projects that tell the full story

Your final portfolio can show backend logic, data reasoning, and a visible React interface — three layers in one project that is significantly more interesting to a recruiter than a single-skill demo.

04
Built for long-term career value

The data and engineering combination creates the real foundation most learners need before moving into AI, ML, or product roles. This is the actual prerequisite roadmap those careers require.

What you will master

Five technologies. One premium profile.

Each layer has a specific reason to be here. Nothing is included to make the program look bigger — everything is chosen because it makes you more hireable.

Backend core

Java Full Stack

Core Java, Spring Boot, REST APIs, and relational databases. The engineering bedrock that establishes your credibility in any technical conversation.

Expansion layer

Python Development

Python for backend scripting, automation, and modern application workflows. A second language that dramatically expands the number of roles you can apply to.

Data layer

Analytics & Data Science

Reporting, dashboards, statistical thinking, and model intuition. The layer that separates a plain developer from a candidate who understands data-driven decisions.

Frontend delivery

React Engineering

Component-based UI, API integration, and responsive interfaces. The visual proof layer that makes your backend and data work tangible and demoable in interviews.

Program Investment

Transparent fee. Flexible payment.

A flagship program at a fair fee — with multiple finance paths so your enrollment decision is based on fit, not finances.

Total Program Fee
₹1,50,000
1,30,000
You save ₹20,000 — Early enrollment
Enroll — Book a Demo First

Includes Java, Python, analytics, data science, React training, all projects, portfolio building, mock interviews, and placement support.

Finance Options Available

Don't let fee hold you back from the best program.

%
No-Cost EMIPay in easy monthly installments via leading banks and NBFC partners. Zero interest options available.
🏠
Education Loan AssistanceOur team will guide you through the bank education loan application process from start to disbursement.
📅
Installment PlansSplit the fee into structured payments spread across the duration of the program.
Discuss Fee & Finance in Your Demo
Program roadmap

4 phases. Zero guesswork.

You always know exactly where you are, what you are building, and what comes next. That clarity is what makes this program feel manageable even at its most ambitious scale.

Phase 1
Java Engineering Foundation
Months 1–3
  • Core Java — OOP, collections, multi-threading, and patterns that real engineering teams expect.
  • Backend development with Spring Boot, REST APIs, and MySQL — the production-level stack.
  • Interview problem solving, project architecture, and the technical confidence to defend your work.
You leave Phase 1 with a working backend application and the language to explain every line of it.
Phase 2
Python Development Expansion
Months 3–5
  • Python programming — scripting, automation, backend logic, and application workflows.
  • Django or Flask for web — a second full backend stack that dramatically widens your role-fit.
  • Cross-language thinking that makes you noticeably more adaptable than single-language freshers.
You leave Phase 2 able to work in both Java and Python environments — a genuine hiring advantage.
Phase 3
Analytics & Data Science Layer
Months 5–8
  • Data analytics — reporting, dashboards, business interpretation, and turning raw data into clear insight.
  • Statistics, hypothesis testing, and structured data problem framing for data science roles.
  • Real-world case thinking that positions you for AI-adjacent and analytics-focused roles.
You leave Phase 3 with a data layer that most developers completely lack — and employers notice that immediately.
Phase 4
React Frontend Execution
Months 8–10+
  • React — components, hooks, state management, routing, and real project delivery.
  • API integration that connects everything built in Phases 1–3 into one end-to-end portfolio story.
  • Full deployment and presentation preparation — your project works, looks good, and you can demo it confidently.
You leave Phase 4 with a complete portfolio showing five technology layers in one coherent, interview-ready project.
Career outcomes

Six roles. Hundreds of companies. One profile.

When your skills connect across multiple layers, you are competitive across many job descriptions simultaneously.

Full Stack Developer

Two backend languages and a React frontend make this one of the most credible full-stack profiles a fresher can walk in with.

Python Developer

Python is in high demand across startups, product companies, and service firms. Your Phase 2 builds exactly what they are looking for.

Data Analyst

Phase 3 analytics training directly prepares you for reporting, dashboards, and insight-focused entry roles abundant in the market.

Junior Data Science Associate

Statistics and data science exposure creates a credible bridge to model-oriented early-career positions.

React Developer

Frontend capability from Phase 4 makes your profile visible and concrete for product-facing and UI-oriented openings.

Multi-Skill Tech Associate

Increasingly, companies want freshers who can move across areas. This profile is built for exactly those roles.

Common questions

Answers before you decide.

Is this too much for a beginner to handle?

Only if you try to rush it. The program is sequenced deliberately so each phase builds on the last one. There are no sudden jumps. If you are committed and consistent, the structure carries you through.

Why Java and Python instead of just one?

Because they serve different hiring pools. Java dominates enterprise and service companies. Python dominates startups, data teams, and modern product companies. Together they double the doors you can walk through.

How does the data science part fit with the engineering?

Phase 3 is built on the Python foundation from Phase 2. You are applying data science using programming skills you already have, which makes the learning stick much better.

What does placement support actually look like?

Mock interviews, resume reviews, portfolio narrative coaching, and role-specific preparation. The goal is that you walk into every interview already knowing how to tell your story across whichever role you are targeting.

The most complete engineering profile you can build as a fresher.

One free counseling session. We will walk you through the roadmap, discuss your current background, and give you an honest picture of what this looks like for you.

Book Free Demo Call +91 88888 09416 Free counseling · No commitment

The Kiran Academy · AI Industry-Ready Programs · Program structure may be adjusted during counseling based on your profile and batch availability.

AI Full Stack — ₹1,30,000 EMI available · Flagship combo · Book a free demo
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