Live Batch
Spring Boot
Backend Engineering
Microservices
System Design
Backend Ultimate 1.0
Spring Boot To Production: Master Backend Engineering With Java, Microservices, Kafka, Redis, Docker, Kubernetes, Spring AI And System Design
A focused backend roadmap for Java learners who want to move beyond CRUD APIs. Build secure REST APIs, database-backed systems, event-driven services, AI-powered backend workflows and production-style projects with live guidance and review.
80+ Hours
5 Backend Projects
English + Hindi Delivery
Recommended for learners who know Core Java basics and want a serious backend path covering APIs, security, data, AI, distributed systems, DevOps and project explanation.
What You'll Learn
Backend skills that take you from Spring Boot basics to production-style engineering
Spring Boot API engineering
- REST API development with clean layered architecture
- Controller, service, repository and DTO design
- Validation, exception handling and API response design
Data, security and production patterns
- Spring Data JPA, Hibernate, MySQL and PostgreSQL
- Spring Security, JWT and role-based access
- Pagination, sorting, filtering, search and audit fields
Distributed backend systems
- Microservices, Spring Cloud basics and API Gateway
- Kafka events, Redis caching, locks and idempotency
- Resilience4j, circuit breaker, rate limiting and retries
AI, DevOps and system design
- Spring AI, streaming responses, RAG and document Q&A
- Docker, Docker Compose, CI/CD and Kubernetes concepts
- System design cases, tradeoffs and interview explanation
Portfolio Projects
Five backend projects designed for serious project explanation
Every project is backend-first, with architecture, APIs, data model, security and production concerns included.
01
Backend Project
Payment Gateway Backend like Razorpay
Payment intents, refunds, webhooks, settlement records and failure recovery in a product-style backend.
- Orders, transaction ledger and payment status flow
- Webhook retries, idempotency and admin visibility
Spring Boot
Kafka
Webhooks
Resilience
02
Backend Project
AI Chat Backend like ChatGPT
Streaming chat, prompt modes, chat history, document Q&A and AI usage tracking with Spring AI.
- Streaming responses, prompt routing and chat memory
- RAG workflow, file ingestion and usage analytics
Spring AI
SSE
RAG
Vector DB
03
Backend Project
Real-Time Messaging Backend like WhatsApp
Chat APIs, WebSocket delivery, group messaging, presence and notification event design.
- One-to-one chat, groups, typing and delivery status
- Redis presence and Kafka notification events
WebSocket
Redis
Kafka
Security
04
Backend Project
Ticket Booking Backend like BookMyShow
Shows, seat maps, booking locks, payment timeout and concurrency-safe reservation flow.
- Seat locking, booking lifecycle and status handling
- Redis locks, transactions and concurrency control
Spring Boot
Redis Locks
Payments
Concurrency
05
Backend Project
Cloud Storage Backend like Google Drive
File upload, folder hierarchy, access control, sharing links, versioning and search-ready metadata.
- Upload flow, metadata and secure folder permissions
- Shared links, ACLs, versioning and indexing design
Storage
ACL
Search
Security
Course Content
A focused backend roadmap from Spring Boot APIs to distributed systems
Spring Boot, REST APIs, validation and clean layering.
JPA, Hibernate, SQL, JWT and access control.
Kafka, Redis, microservices, Docker and Kubernetes concepts.
Start with the core Spring Boot mental model and build clean REST APIs with proper request-response design.
- Spring Core, IoC, DI and Spring Boot project setup
- REST controllers, services, repositories and DTOs
- Validation, exception handling and response wrappers
- Postman testing and Swagger/OpenAPI documentation
Design database-backed APIs that are cleaner, faster and easier to explain in interviews.
- Entity relationships, repositories and transactions
- Pagination, sorting, filtering and search APIs
- Custom queries, indexing basics and query optimization
- MySQL/PostgreSQL integration and migration thinking
Add authentication and authorization patterns expected in real backend applications.
- Spring Security 6 configuration and filter chain
- JWT login, refresh token flow and password encoding
- Role-based authorization and method-level security
- Secure API practices and endpoint protection
Learn how product backends handle performance, events and background workflows.
- Redis caching, distributed locks and idempotency
- Kafka producers, consumers, topics and event contracts
- Retries, dead-letter flow and eventual consistency
- Outbox pattern and event-driven project workflows
Move beyond single-service APIs into distributed backend architecture.
- Monolith vs microservices and service boundaries
- API Gateway, service discovery and config basics
- Inter-service communication and contract thinking
- Resilience4j, circuit breaker and rate limiting
Build modern AI features inside Java backend systems using structured Spring AI patterns.
- LLM integration, prompts and structured responses
- Streaming AI chat and chat history design
- Document Q&A, embeddings, vector flow and RAG
- Usage limits, analytics and safe AI product behavior
Package, run and discuss backend applications like a production-aware engineer.
- Dockerfile, Docker Compose and environment profiles
- CI/CD workflow and GitHub Actions basics
- Kubernetes concepts, deployment and service exposure
- Logging, monitoring basics and release checklists
Tie everything together through project reviews, system design tradeoffs and explanation practice.
- JUnit, Mockito and integration testing basics
- Rate limiting, queues, caching and scaling tradeoffs
- CQRS, Saga, Outbox and consistency discussions
- Project walkthroughs, resume points and interview Q&A
Engineering Outcomes
Become confident with backend project and system conversations
Learn to design APIs with security, validation, errors, transactions and maintainable service boundaries.
Build vocabulary and hands-on clarity around Kafka, Redis, microservices, resilience and scaling choices.
Create projects that are easier to explain because they include real product workflows and architecture decisions.
Prepare stronger answers around database design, API flow, security, events, tradeoffs and deployment basics.
FAQs
Frequently Asked Questions
This course is for learners who know Core Java basics and want to master Spring Boot, backend architecture, microservices, Kafka, Redis, Docker, Kubernetes, Spring AI and system design.
Yes. Backend Ultimate 1.0 starts from Spring Boot and then moves into REST APIs, data, security, microservices, events, AI, DevOps and backend projects.
Basic Java knowledge is recommended. You should be comfortable with classes, objects, methods, collections and exception handling before joining this backend-focused batch.
Yes. The course includes backend projects inspired by payment systems, AI chat, real-time messaging, ticket booking and cloud storage platforms.
Yes. You will learn microservice basics, Spring Cloud concepts, Kafka event workflows, Redis caching, Redis locks and production backend patterns.
Yes. The roadmap includes Spring AI integration, streaming chat, prompt workflows, document Q&A, embeddings and RAG concepts.
Yes. The course covers Docker, Docker Compose, CI/CD workflow and Kubernetes deployment concepts for backend services.
Yes. Learners get recordings, structured project guidance, live doubts and review support as part of the course experience.