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Build & Deploy a Production-Ready Application with Spring Boot, Kafka & AI

20 Hours of Live Coding: Build a Real Application from Scratch and Deploy It to AWS EC2

20 Hours 20 Hours Live Coding Build Real Application Spring Boot Apache Kafka Database Design AWS EC2 Deployment AI-Assisted Development Logging & Monitoring Debugging Techniques Production Best Practices Source Code Included Certificate of Completion
Next batch: 2 Weeks | Daily 2 Hours Live (7 AM to 9 AM)
₹9,999 One-time · No hidden fees
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Build & Deploy a Production-Ready Application with Spring Boot, Kafka & AI
Code Preview

Real Code You'll Write in This Session

No slides. Your instructor opens a blank file and builds this live — you follow along, line by line.

OrderService.java Java / Spring Boot / Kafka
@Service
@RequiredArgsConstructor
public class OrderService {

    private final OrderRepository repository;
    private final KafkaTemplate<String, OrderEvent> kafkaTemplate;

    public Order createOrder(OrderRequest request) {

        Order order = repository.save(
                Order.builder()
                     .customerId(request.getCustomerId())
                     .amount(request.getAmount())
                     .build());

        kafkaTemplate.send(
                "orders-topic",
                new OrderEvent(order.getId()));

        return order;
    }
}
About This Session

What This Session Covers

Most courses teach concepts. This course teaches how real software is built. Over 2 weeks (20 hours of live sessions), you'll learn how to design, develop, test, debug, and deploy a complete enterprise-grade application from scratch. The instructor will build an application live from day one, explaining every architectural decision, coding practice, debugging technique, and deployment step used in professional software development. This is not a theory course. Our motto is simple: No PPTs. Only Real Development. Students will learn Spring Boot, Kafka, Database Design, Logging, Exception Handling, Debugging, REST APIs, Deployment, and AI-Assisted Development while building a real-world application. You'll also learn how modern developers use AI tools such as ChatGPT and Claude to accelerate coding, debugging, code reviews, documentation, and productivity. By the end of this course, you'll have practical experience building and deploying a production-ready application similar to what software engineers build in real companies.

Expectations

Before & After

Know what to bring, and what you'll walk away with

Prerequisites

What you should know before joining

  • Basic Java Knowledge
  • Laptop with Internet Connection
  • JDK 17 Installed
  • IntelliJ IDEA Community Edition
  • Basic OOP Concepts
  • Willingness to Learn Through Coding

What You'll Take Away

Skills and outcomes after completing this

  • Build Complete Backend Applications Independently
  • Understand Enterprise Application Architecture
  • Develop REST APIs using Spring Boot
  • Implement Event-Driven Systems using Kafka
  • Design Relational Databases
  • Use Logging and Debugging Effectively
  • Deploy Applications to AWS EC2
  • Use AI Tools Like Professional Developers
  • Gain Real-World Software Development Experience
  • Build Production-Ready Projects
  • Improve Backend Interview Readiness
  • Receive Certificate of Completion
Curriculum

What You'll Learn

Every topic is taught by writing real code — nothing is just theory

30 topics covered
Application Architecture Fundamentals
Project Setup and Structure
Spring Boot Fundamentals
REST API Development
Controller Layer Design
Service Layer Implementation
Repository Layer Design
Database Design and Relationships
Spring Data JPA
Input Validation
Global Exception Handling
Logging Best Practices
Application Configuration Management
Kafka Fundamentals
Kafka Producer Development
Kafka Consumer Development
Event-Driven Architecture
AI-Assisted Coding Techniques
Using AI for Code Generation
Using AI for Debugging
Using AI for Documentation
Application Testing
Performance Optimization Basics
Debugging Real Production Issues
AWS EC2 Setup
Linux Basics for Developers
Application Deployment
Production Configuration
Monitoring and Troubleshooting
End-to-End Project Deployment
What Sets Us Apart

Why This Is Different from the Rest

Every decision we made — format, batch size, tools, projects — was made to close the gap between knowing concepts and being able to build

Instructor Types Every Line

No pre-written code. The instructor opens a blank file and builds from scratch — you type the exact same code in real time, line by line.

AI Tools as a First-Class Skill

Copilot, ChatGPT, and debugging with AI are part of every session — the same way your next team will expect you to use them at work.

Real Project, Live Deployment

Build a real backend project and deploy it to AWS EC2. You leave with a live URL, not localhost screenshots.

Small Batches — Max 20 Students

Questions get answered in the session, not queued for later. Small groups mean you're never invisible and the instructor knows where you're stuck.

Interview-Ready Framing

Every topic is taught through the lens of what companies actually test — system design, production patterns, and code you'd write on the job.

Full Recordings Included

Every session is recorded and shared. Miss something? Rewatch it. Want to revisit a concept before an interview? It's always available.

Instructor

Who's Teaching

The person you'll be learning from, live

Ashok Dhulipalla

Ashok Dhulipalla

Senior Backend Engineer

**Ashok Dhulipalla** is a Software Architect with 14+ years of experience building scalable, high-performance enterprise applications. He specializes in Java, Spring Boot, Microservices, Kafka, Distributed Systems, and Cloud Technologies. Having worked on large-scale systems serving millions of users, Ashok brings deep expertise in backend engineering, system design, real-time data processing, and production deployments. As a mentor, he focuses on hands-on learning through live coding, real-world projects, and industry-driven examples. **Teaching Philosophy:** *No PPTs. No lengthy theory. Learn by building real applications.*

Ready to Get Started?

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