Nitesh Synergy Backend Bootcamp 2026

Industry-Ready Backend Engineering Program 

📅 Weekend Learning Plan

Every Saturday & Sunday — 4 PM to 8 PM

A structured and highly focused 4-hour weekend format:

🔸 4:00 PM – 5:00 PM — Concept Deep Dive

Master core theory, architecture, and real-world implementation concepts.

🔸 5:00 PM – 6:00 PM — Hands-On Coding / Projects

Live coding, assignments, and building backend components.

🔸 6:00 PM – 7:00 PM — Doubt Clearing + Real-Time Scenarios

Case studies, debugging, and production-level problem solving.

🔸 7:00 PM – 8:00 PM — Assignments + Interview Q&A

Interview preparation + curated backend & system design questions.

How to Register - Premium Tech Courses – Just ₹9999

🔹 Java Full Stack
🔹 Python Full Stack
🔹 Data Science + AI
🔹 DevOps Full Stack
🔹 MEAN Stack Developer

👨‍🏫 Taught by Experts with 10+ Years of Experience
📆 Weekend batches available for college students!

Step 1 — Payment

Visit: https://razorpay.me/@niteshsynergy
Pay: ₹9,999 INR (one-time)

Step 2 — Send Confirmation

After payment, email your screenshot to:
📩 say@niteshsynergy.com

Step 3 — Get Access

We will confirm your registration,
then add you to our Telegram group & Discord community
where all updates, study material, and discussions take place.

📌 Phase 1 — Java & Spring Boot Mastery

Day 1 — Core Java + Spring Boot Basics

• Deep dive into OOP (Encapsulation, Inheritance, Polymorphism)

• Collections, Stream API, Lambdas, Generics

• Build your first Spring Boot application

• REST APIs & Dependency Injection fundamentals

Day 2 — Beans, Application Context & DI Internals

• IoC, Bean lifecycle, scopes

• @Component, @Configuration, @Bean, @Profile

• Dev/Prod environment configuration

Day 3 — Concurrency + Advanced Spring Features

• Threads, thread pools, Executors, CompletableFuture

• Interceptors, AOP for logging/security

• JWT Authentication & Role-Based Access Control

Day 4 — Exception Handling, File Processing & Patterns

• Global error handling (@ControllerAdvice)

• File upload/download, async processing

• Design patterns: Singleton, Factory, Strategy, Observer

Day 5 — SQL/NoSQL + JPA

• Indexing, joins, subqueries, window functions

• JPA relationships, pagination, custom queries

• Intro to MongoDB with Spring Boot

Day 6 — Microservices Foundation

• Eureka, API Gateway, service discovery

• Circuit breakers, retry logic, rate limiting

• Centralized config & monitoring

Day 7 — Testing & Performance

• Unit tests (JUnit5, Mockito)

• Integration tests (Spring Boot + H2)

• API tuning, Redis caching, Actuator monitoring

Day 8 — Distributed Concepts & Security

• CAP theorem, consistency models

• Event-driven architecture

• OAuth2/JWT for microservices

• Distributed tracing (Zipkin/Jaeger)

📌 Phase 2 — Data Structures & Algorithms

Day 9 — Arrays & Strings

• Sliding window, two pointers

• Rotations, duplicates, longest substring

Day 10 — Linked List

• Operations, merging, cycle detection

Day 11 — Stack & Queue

• Expression evaluation

• BFS/DFS queue operations

Day 12 — Tree & Graph

• Traversals (In/Pre/Post)

• BST concepts, graph basics (BFS, DFS)

Day 13 — Hashing & Heaps

• Hash tables, sets

• Priority queues, heap operations

Day 14 — Dynamic Programming

• Memoization, tabulation

• Knapsack, LCS, grid-based DP

📌 Phase 3 — System Design

Day 15 — Introduction

• Scalability, reliability, performance

• Functional & non-functional requirement analysis

Day 16 — High-Level Architecture

• Monolith vs microservices vs serverless

• Load balancing & scaling mechanisms

Day 17 — Low-Level Design

• SOLID principles

• Class diagrams, sequence diagrams

• API design + long-running jobs

Day 18 — High-Level Case Study

• Netflix / Twitter / Google Search architecture

• System trade-offs & decision reasoning

Day 19 — LLD Case Study

• Worker queues, retry patterns

• Concurrency management

Day 20 — Performance Engineering

• Identifying bottlenecks

• Caching, DB tuning, rate limiting

📌 Phase 4 — AWS for Backend Engineers

Day 21 — EC2, S3, API Gateway, Lambda

• Instance types & pricing

• S3 bucket security & lifecycle

• API Gateway throttling

• Lambda cold start & layers

Day 22 — VPC, Networking & Load Balancers

• Public/Private subnets, NAT Gateway, VPC Peering

• Security Groups vs NACLs

• ALB/NLB + Auto Scaling

Day 23 — CloudFormation, SQS, RDS

• IaC templates for automation

• SQS + DLQ + Lambda workflows

• RDS optimization, read replicas

📌 Phase 5 — Final Skill Assessment (Day 24)

• Multi-round technical evaluation

• Java + Spring + DSA + System Design + AWS

• Personalized improvement report

📌 Phase 6 — GenAI (Generative AI for Developers)

GenAI Foundations

• LLMs (GPT, Gemini, Llama, Claude)

• Embeddings, tokenization, prompt engineering

Build AI-Powered Apps

• AI chatbots using API integrations

• RAG workflows

• Text generation & automation tasks

GenAI + Backend Integration

• Java/Spring Boot + LLM integration

• Vector DBs (Pinecone, ChromaDB, FAISS)

• AI-driven recommendation & automation services

Enterprise GenAI Workflows

• AI safety & guardrails

• GenAI microservices

• Caching, batching & optimization

GenAI for Productivity

• Code generation, debugging

• Test case creation

• Auto-documentation

📌 Phase 7 — Resume, Naukri & LinkedIn Optimization

Resume Development

• ATS-friendly 2025 format

• Role-based resume for Backend, Java, Spring Boot

• Separate versions for Product & Service companies

Naukri Optimization

• Headline & summary writing

• SEO keyword alignment

• Profile score improvement

LinkedIn Optimization

• Strong “About” section

• Projects, achievements, certifications

• Building a recruiter-friendly profile

• Daily LinkedIn strategy for visibility

Interview Branding

• How to present your experience

• Discussion-ready projects

• Building GitHub + portfolio links

🌟 Why Nitesh Synergy?

• A growing community of 50+ working professionals contributing to training, mentorship & career support.

• Real industry projects, real scenarios, real interview preparation.

• Designed for fresher → mid-level → experienced growth.