2026 Batch · Limited Seats
Full-Stack Java + Cloud + AI Developer Program

From Fresh Graduate
to Industry-Ready
Developer in 2 Months

The only live, hands-on program built exclusively for college graduates who want the real skills the industry demands — not theory that doesn't translate to the job.

Java 17+ Spring Boot React TypeScript Azure Docker Kubernetes AI / LLM Azure SQL Git & CI/CD
9
Topics
3
Sections
8
Weeks
5
Seats/Batch
60+
Live Hours
The Problem We Solve

The Gap Between College & Industry

Every year, thousands of bright graduates leave college only to discover their degree doesn't get them hired. The industry moved to the cloud, adopted containers, started integrating AI — and most college curricula didn't follow.

What Fresh Graduates Face

Resume rejected because the job asks for Spring Boot, Docker, and Azure — but college only taught Core Java
Interviews feel like a test of what you don't know, not what you can build
Months of applying with no callbacks while peers with the same degree somehow got through
GitHub profile is empty because college projects were submitted on paper or as ZIP files

The CampusToAI Solution

Two months of the right kind of training — live, hands-on, taught by people actively doing the work — can completely transform a fresh graduate's prospects. We teach exactly what you need to walk into your first job and contribute from day one.

Our instructors bring experience from
Product companies
Cloud-native startups
Enterprise IT orgs
Azure cloud projects
Spring Boot backends
AI integration work
What Makes Us Different

4 Things That Set Us Apart

🏭

Industry-Built Curriculum

Designed by working engineers based on skills they look for when hiring. Updated as the industry evolves — no outdated filler.

📡

100% Live Classes

Every session is live and interactive. Ask questions, share your screen, get help in real time. No pre-recorded lectures.

🏗️

Real Projects, Not Toy Examples

Build a full-stack app deployed on Azure with CI/CD — the kind of portfolio piece that makes a recruiter pause and look twice.

👥

Max 5 Students Per Batch

Not 50, not 200 — five. The only way to give every student the attention, feedback, and mentoring they deserve.

01
Section 1 of 3
Core Backend Development
Weeks 1 – 3
01 Client-Server Architecture
How the Web Works
  • DNS lookup to server response — what happens when you type a URL
  • HTTP/HTTPS: requests, responses, headers, status codes
  • REST principles and why they matter for every API you'll build
  • Client vs. server and why the separation matters
APIs and JSON
  • What an API is — the "contract" between frontend and backend
  • JSON deep-dive: objects, arrays, nesting, data exchange
  • Testing APIs with Postman before connecting any frontend
  • HTTP methods: GET, POST, PUT/PATCH, DELETE
Thinking Like a Backend Dev
  • Modelling real-world problems as software entities
  • Stateless vs. stateful communication in REST
  • Authentication basics: tokens, sessions, password hashing
  • Monolith vs. microservices at a practical level
02 Core Java & Object-Oriented Programming
Java Fundamentals
  • Data types, variables, operators — what trips beginners up
  • Control flow: if/else, switch, for/while loops
  • Methods, parameters, return types — reusable building blocks
  • Collections: ArrayList, HashMap, HashSet for every project
OOP in Plain English
  • Classes and objects — blueprint vs. the house you build
  • Encapsulation: private fields and getters/setters
  • Inheritance and polymorphism: reusing code intelligently
  • Interfaces and abstract classes — Java "contracts"
Modern Java Features
  • Lambda expressions and streams for concise, readable code
  • Optional — handling missing data without NullPointerException
  • Exception handling: try/catch/finally, custom exceptions
  • Java records and Java 17+ features in modern codebases
03 Spring Boot & JPA
Your First Spring Boot App
  • Why Spring Boot is the most popular Java framework in enterprise
  • Dependency injection, @Component, @Service, @RestController
  • Creating REST endpoints — your first working API in under an hour
  • Application properties, profiles, local vs. production config
Spring Boot Best Practices
  • Layered architecture: Controller → Service → Repository
  • Request validation with @Valid and Bean Validation
  • Global exception handling with @ControllerAdvice
  • Logging with SLF4J and Logback at runtime
JPA & Database Integration
  • JPA and Hibernate: Java objects mapped to database rows
  • Spring Data JPA — full CRUD with almost no boilerplate
  • Entity relationships: @OneToMany, @ManyToOne, @ManyToMany
  • Pagination, sorting, and custom JPQL queries
04 SQL & Database Design
Relational DB Fundamentals
  • Tables, rows, columns, primary keys — the building blocks
  • Foreign keys: one-to-one, one-to-many, many-to-many
  • Normalisation in plain English — when to stop splitting
  • Indexes: why queries slow down and how to fix them
Writing SQL Queries
  • SELECT, FROM, WHERE, ORDER BY, LIMIT — daily essentials
  • JOINs demystified: INNER, LEFT, RIGHT — when to use each
  • Aggregation: GROUP BY with COUNT, SUM, AVG, MIN, MAX
  • Subqueries and CTEs for readable, step-by-step logic
Practical DB Skills
  • Transactions: COMMIT, ROLLBACK, preventing corrupted data
  • Azure SQL Database: managed relational data in production
  • Schema migrations with Flyway across dev, staging, prod
  • Query optimisation for technical interviews
Section 1 covers →
HTTP / REST Java 17+ OOP Streams Spring Boot Spring Data JPA Hibernate Azure SQL Database Flyway Postman
02
Section 2 of 3
Cloud & DevOps
Weeks 4 – 6
05 Azure Cloud Services
Understanding the Cloud
  • Why companies moved to cloud: cost, scale, reliability
  • Azure core services: compute, storage, networking — no jargon
  • Azure portal and CLI: how developers actually use it on the job
  • Regions, availability zones, and global deployment strategy
Deploying on Azure
  • Azure App Service: deploy Spring Boot with one command
  • Azure SQL Database: managed relational data service
  • Azure Blob Storage: files and images at scale
  • Azure Key Vault: keeping secrets out of your source code
Monitoring & Cost Control
  • Azure Monitor and Application Insights in real time
  • Setting up alerts before users notice something's wrong
  • Azure pricing: on-demand vs. reserved, avoiding surprise bills
06 Docker & Kubernetes
Containers with Docker
  • The "works on my machine" problem — and why containers solve it
  • Writing a Dockerfile for your Spring Boot app
  • Building, tagging, and pushing images to Azure Container Registry
  • Docker Compose: run your whole stack with one command
Orchestration with Kubernetes
  • What Kubernetes does: managing containers at scale
  • Pods, Deployments, and Services — the three core concepts
  • Scaling with replicas: handle more traffic in seconds
  • ConfigMaps and Secrets: configuration done right
Azure Kubernetes Service (AKS)
  • Setting up a real AKS cluster on Azure
  • Deploying and exposing your app with an Azure Load Balancer
  • Rolling deployments: zero-downtime updates in production
07 Git & Version Control
Git Foundations
  • Why version control exists — stopping the email-attachment chaos
  • Working directory, staging area, and repository — the three areas
  • Daily commands: add, commit, push, pull, status, log
  • Writing good commit messages like a professional
Agile Team Tools
  • Jira Board: tracking tasks, bugs, and user stories
  • Sprint Overview: planning and running a two-week sprint
  • Confluence: writing and sharing team documentation
Branching & Collaboration
  • Branches: why you never commit directly to main
  • Pull requests on GitHub — the code review workflow
  • Handling merge conflicts: understanding what Git is doing
  • Git rebase vs. merge: when to use each
Professional Git Workflows
  • GitHub Flow: the branching strategy used by most startups
  • .gitignore: what to exclude and why secrets must stay out
  • GitHub Actions: running tests on every pull request
  • Building a professional GitHub profile recruiters notice
03
Section 3 of 3
AI & Frontend Technologies
Weeks 7 – 8
08 AI & LLM Integration
Understanding LLMs
  • What LLMs actually are: prediction engines, not magic
  • OpenAI API and Azure OpenAI Service from your Java app
  • Prompt engineering: how phrasing changes model output
  • Tokens, context windows, and model selection tradeoffs
Building AI-Powered Features
  • AI chat endpoint in Spring Boot: real LLM-backed API
  • RAG in plain English: giving AI access to your own data
  • MCP Server overview: how AI agents call your APIs as tools
Production AI
  • Cost management: estimate and control your API spend
  • Rate limiting and caching AI responses for scale
  • Content moderation: handling inappropriate inputs safely
09 Front-End Technologies — React & TypeScript
TypeScript Foundations
  • Why TypeScript exists: catching bugs before they run
  • Types, interfaces, generics — reading type errors without panic
  • async/await and Promises: modern API call handling
  • Modules and imports: keeping code organised at scale
React Basics
  • Components and JSX: writing HTML-like syntax inside JavaScript
  • useState: managing local state and re-rendering on change
  • Event handling: onClick, onChange, and form submission
  • Conditional rendering and rendering lists with keys
React Development
  • Props: passing data down and callbacks back up
  • useEffect hook: syncing UI with your Spring Boot API
  • React Query: loading states, errors, and caching done right
  • React Router: multi-page navigation in a single-page app
Calling Backend APIs
  • Using fetch to call Spring Boot REST endpoints
  • Sending JSON in request body and reading JSON responses
  • Handling loading, success, and error states in the UI
  • Passing auth tokens in headers for secured endpoints
Capstone Project

What You'll Build & Deploy

By the end of the programme, you'll have a complete, production-grade project on your GitHub — the kind that makes recruiters pay attention.

🏗️

REST API with Spring Boot

Fully documented, layered Java backend with authentication, validation, and a real Azure SQL Database.

⚛️

React + TypeScript Frontend

Responsive, component-based UI consuming your API — handles auth, loading, and error states professionally.

🤖

AI-Powered Feature

Integrated LLM feature — chat, summarisation, or smart search — using Azure OpenAI in your live app.

🐳

Containerised Deployment

Entire stack in Docker containers, orchestrated by Kubernetes on Azure AKS — real production infrastructure.

🔄

CI/CD Pipeline

Automated build and deployment via Azure DevOps or GitHub Actions — push code, it deploys itself.

📊

Monitoring & Observability

Application Insights dashboards and alerts for your live, production deployment from day one.

Full Tech Stack

Every Tool You'll Master

The complete stack you'll learn, use, and deploy throughout the programme — all industry-standard technologies currently in demand.

Backend

Java 17+ Spring Boot Spring Data JPA Hibernate REST APIs Spring Security JWT

Database

Azure SQL Database Flyway Migrations JPQL

Cloud (Microsoft Azure)

Azure App Service Azure Kubernetes Service Azure Blob Storage Azure Key Vault Application Insights Azure OpenAI

AI & LLM

OpenAI API Azure OpenAI Service RAG Prompt Engineering

Frontend

React 18 TypeScript React Query React Router Basic React

Containers & Orchestration

Docker Docker Compose Kubernetes Helm (basics) Azure Container Registry

Version Control & CI/CD

Git GitHub GitHub Actions Pull Requests

Development Tools

IntelliJ IDEA VS Code Postman Docker Desktop kubectl CLI Node.js
💻
System Requirements
Windows, Mac, or Linux · 8 GB RAM (16 GB recommended) · Stable internet (10+ Mbps) · All required software is free to install — we provide a pre-work setup guide after enrollment.
All-Inclusive

Everything Included at ₹49,999

One price, GST included, zero hidden fees. No separate charges for materials, recordings, mentoring, or the certificate.

📡
60+ Hours of Live Classes

3 sessions per week, 2 hours each, live and interactive over 8 weeks.

🔁
Session Recordings

Every class recorded and available for replay, including 30 days after the programme ends.

🏗️
Hands-On Projects

Real portfolio projects built during the programme and deployed live on Azure.

🧑‍🏫
1-on-1 Mentoring

Dedicated sessions with your instructor to work through blockers and get personal feedback.

📚
Study Materials

Curated notes, code snippets, cheat sheets, and reference guides for every topic.

🎓
Certificate of Completion

Verifiable digital certificate shareable directly to your LinkedIn profile.

🎤
Mock Interview Prep

Simulated technical interviews with detailed feedback to prepare you for the real thing.

👥
Peer Community Access

Private batch group for collaboration, networking, and peer support throughout the programme.

Programme Fee
₹49,999
All-inclusive · GST included · Bank transfer or UPI · No hidden charges

EMI / Instalment Option

1st Instalment (before batch starts) ₹25,000
2nd Instalment (end of Month 1) ₹25,000
Need a different arrangement? Just WhatsApp us — we'll work something out. We don't want the fee to be the reason a motivated student can't join.
⚠️

No Refund Policy

All fees paid are non-refundable under any circumstances once payment is made.

FAQ

Common Questions Answered

Who is this programme for?

Fresh graduates (B.Tech, BCA, MCA, B.Sc. CS) who want industry-ready skills. Also suited for career switchers with basic programming knowledge and recent grads who've been rejected due to skill gaps.

Do I need prior programming experience?

Basic familiarity is enough. If you can write a loop or a function in any language, you're ready. We start from fundamentals and build systematically — no professional experience required.

How are classes conducted?

100% live online via Google Meet or Zoom. 3 sessions per week, 2 hours each (Mon/Wed/Fri or Tue/Thu/Sat, ~7–9 PM IST). Timing is agreed with your batch before it starts.

What is the batch size?

Maximum 5 students per batch — a deliberate choice, not a constraint. Small batches mean real attention, real feedback, actual 1-on-1 mentoring, and a genuine cohort experience.

What happens after course completion?

  • Complete deployed full-stack project on GitHub
  • Verified certificate for LinkedIn and resume
  • Mock interview experience with feedback
  • Resume review and LinkedIn profile guidance
  • Ongoing access to the batch community

Are sessions recorded? What if I miss one?

Yes — every session is recorded and available within a few hours. Recordings are accessible for the duration of the programme plus 30 days after. Live attendance is strongly encouraged for the best experience.

What if I fall behind or struggle?

  • Rewatch session recordings as many times as needed
  • Schedule 1-on-1 mentoring sessions with your instructor
  • Ask batchmates in the private group
  • WhatsApp the instructor directly between sessions

Will I get a certificate?

Yes — a digital Certificate of Completion issued in your name, shareable to LinkedIn with a unique verification link so employers can confirm it's genuine. Your real proof will be your GitHub portfolio.

🚀

Ready to Start Your
Developer Career?

Every batch is capped at 5 students. Seats fill fast.
Fill out the enrollment form and we'll confirm your seat within 24 hours — or just WhatsApp us directly.

How to Enroll
1
Fill out the enrollment form at campustoai.com/enroll
2
We call or WhatsApp you within 24 hours to confirm your seat and answer any questions
3
Make fee payment via bank transfer or UPI (full or 1st instalment of ₹25,000)
4
Receive your batch details, class links, and pre-work setup guide — ready to start
💬
WhatsApp (Fastest)

+91 90233 88910

Message us for instant confirmation
🌐
Enroll Online

campustoai.com/enroll

Fill the form, we contact you in 24h
📧
Website

www.campustoai.com

Full syllabus, FAQ, and more
🛡️
No Refund Policy

Non-Refundable

All fees paid are non-refundable once payment is made.
CampusToAI Academy · Course Brochure 2026
www.campustoai.com