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Batch Date: Sept 7th @10:00PM

Faculty: Mr. Anand (13+ Yrs of Exp,..)

Duration : 45 Days

Venue :
DURGA SOFTWARE SOLUTIONS,
Flat No : 202, 2nd Floor,
HUDA Maitrivanam,
Ameerpet, Hyderabad - 500038

Ph.No: +91 - 8885252627, 9246212143, 80 96 96 96 96

Syllabus:

SPRING BOOT - MICROSERVICES & AI
with FREE Real Time Project

Prerequisites

• Core Java fundamentals and OOP concepts
• Basic SQL and relational database knowledge
• Basic understanding of HTTP and web applications
• Spring Core / Dependency Injection fundamentals are helpful
• Maven basics are helpful but not mandatory
  

Development Tools

• Java 17+
• Spring Tool Suite (STS) or IntelliJ IDEA
• Maven
• PostgreSQL / MySQL
• Postman
• Swagger / OpenAPI
• Git & GitHub
• Docker basics for deployment demonstrations

Module 1: Spring Boot Fundamentals

• What is Spring Boot and why it is used
• Spring Framework vs Spring Boot
• Starter dependencies
• Auto-configuration
• Embedded server
• Convention over configuration
• Creating and running a Spring Boot application
• Spring Boot project structure
  

Module 2: Spring Boot Core & Configuration

• @SpringBootApplication
• SpringApplication.run() execution flow
• ApplicationContext and bean creation overview
• Dependency Injection in Spring Boot
• Constructor, Setter and Field Injection
• @Component, @Service, @Repository and @Controller
• @Configuration and @Bean
• application.properties and application.yml
• Custom properties and @Value / @ConfigurationProperties
• Command-line arguments

Module 3: REST API Development

• REST architecture and HTTP fundamentals
• @RestController
• @GetMapping, @PostMapping, @PutMapping and @DeleteMapping
• @RequestBody
• @PathVariable and @RequestParam
• ResponseEntity
• HTTP status codes
• Request and Response DTOs
• CRUD REST API implementation
• Testing APIs using Postman

Module 4: Validation & Exception Handling

• Server-side request validation
• Bean Validation annotations
• @Valid and @Validated
• Custom validation overview
• Application-specific exceptions
• Global exception handling
• @RestControllerAdvice / @ControllerAdvice
• Consistent API error response design

Module 5: Spring Data JPA & Hibernate

• ORM, JPA and Hibernate fundamentals
• Entity mapping
• Primary key generation strategies
• CrudRepository, PagingAndSortingRepository and JpaRepository
• Repository method naming conventions
• @Query and JPQL
• Native queries overview
• Pagination and Sorting
• Transaction basics
• DTO mapping and avoiding direct entity exposure
  

Module 6: JPA Relationships & Database Queries

• One-to-One
• One-to-Many
• Many-to-One
• Many-to-Many
• Owning side and mappedBy
• Cascade types
• Lazy vs Eager loading
• JOIN concepts
• JPQL joins
• N+1 query problem overview
  

Module 7: Profiles & Application Configuration

• Spring Profiles
• Development, Test and Production environments
• Environment-specific configuration
• Activating profiles
• Externalized configuration
• Managing environment variables and secrets overview

Module 8: API Documentation with OpenAPI / Swagger

• Why API documentation is required
• OpenAPI and Swagger UI
• Adding Springdoc OpenAPI
• Documenting endpoints and DTOs
• Request, response and status documentation
• Testing APIs from Swagger UI

Module 9: Spring Security & JWT

• Introduction to Spring Security
• Authentication vs Authorization
• In-Memory and Database Authentication
• Password encoding
• Role-Based Authorization
• Spring Security Filter Chain
• Introduction to JWT
• JWT Authentication Flow
• JWT Token Generation and Validation
• Securing REST APIs with JWT
• Session-Based vs Stateless Authentication
• Security Exception Handling

Module 10: Caching with Redis

• Why caching is required
• Spring Cache abstraction
• Introduction to Redis
• Configuring Redis with Spring Boot
• @Cacheable, @CachePut and @CacheEvict
• Caching service responses
• Cache invalidation basics

Module 11: Spring Boot Actuator & Monitoring

• Introduction to Spring Boot Actuator
• Health and Info endpoints
• Metrics overview
• Exposing and securing actuator endpoints
• Application monitoring basics
• Production readiness concepts

Module 12: Apache Kafka & Spring Boot Kafka

• Why messaging systems are required
• Synchronous vs Asynchronous Communication
• Introduction to Apache Kafka
• Kafka Architecture
• Topic and Partition
• Producer and Consumer
• Consumer Groups and Offsets
• Messages / Events
• Spring Boot Kafka Integration
• Implementing Kafka Producer and Consumer
• Sending and Receiving Messages
• Microservices Communication using Kafka

Module 13: Microservices Fundamentals

• Monolithic vs Microservices Architecture
• When to use microservices
• Identifying service boundaries
• Database per service
• Independent development and deployment
• Microservices challenges
• Distributed system fundamentals
• Synchronous vs asynchronous service communication

Module 14: Inter-Service Communication

• REST-based service communication
• OpenFeign / Feign Client
• Request and response flow between services
• Handling downstream service errors
• Timeout and retry concepts
• RestClient / WebClient overview
• Legacy RestTemplate overview
  

Module 15: Spring Cloud & Microservices Patterns

• Spring Cloud overview
• Service Discovery using Eureka
• Centralized Configuration using Config Server
• API Gateway using Spring Cloud Gateway
• Load Balancing concepts
• Circuit Breaker using Resilience4j
• Retry and Fallback
• Centralized configuration flow
• End-to-end request flow through Gateway and services

Module 16: Real-Time Microservices Case Study

• Understanding business requirements and service boundaries
• Order, Product, Customer and Notification services
• Independent database/schema per service
• REST API design for each service
• Inter-Service Communication using Feign Client
• Service Discovery with Eureka
• API Gateway integration
• Centralized Configuration
• Circuit Breaker, Retry and Fallback
• Asynchronous events using Kafka
• Exception handling across services
• End-to-End integration and testing

Module 17: Testing Spring Boot Applications

• Testing strategy for backend applications
• JUnit fundamentals
• Mockito fundamentals
• Service layer unit testing
• Controller testing overview
• Mocking dependencies
• Testing REST API behavior
• Integration testing overview
  

Module 18: Build, Packaging & Deployment

• Maven build lifecycle
• Executable / Fat JAR
• Embedded server
• Environment-based application startup
• Running Spring Boot JAR files
• Logging configuration basics
• Dockerizing a Spring Boot application – overview
• Deployment and troubleshooting checklist

Module 19: Real-Time Project

• Requirement analysis
• Application and database design
• REST API implementation
• DTO, Validation and Exception Handling
• Spring Data JPA integration
• Spring Security with JWT
• Swagger / OpenAPI documentation
• Microservices implem
• Kafka-based asynchronous communication
• Testing and deployment flow

Module 20: Code Walk-Through & Interview Preparation

• 30-minute real-time code walk-through
• Spring Boot interview questions
• REST API scenario-based questions
• Spring Data JPA and Hibernate questions
• Spring Security and JWT questions
• Microservices and Spring Cloud questions
• Kafka questions
• Debugging and troubleshooting scenarios
• Architecture discussion and project explanation

Module 21: AI Tools for Spring Boot Developers

• Introduction to AI Coding Assistants
• Effective Prompting & Context Engineering
• AI-Assisted Spring Boot Development
• Generate REST APIs, DTOs, SQL & Boilerplate Code
• Code Explanation, Debugging & Stack Trace Analysis
• Code Refactoring & Documentation
• AI-Assisted Code Review
• Introduction to AI Agents & Skills
• Agent vs Skill – When to Use Each
• Creating Custom AI Agents
• Creating Reusable Developer Skills
• Using Code Review Agents
• Best Practices for AI-Generated Code

Real-Time Project Architecture Flow

Client → API Gateway → Microservices → Individual Databases
                  ↘ Eureka Service Discovery
                  ↘ Config Server
                  ↘ Resilience4j
                  ↘ Kafka → Notification / Event Consumers

Training Methodology

• Concept explanation with real-world use cases
• Live coding for each major module
• Postman and Swagger API testing
• Database verification and debugging
• Hands-on microservices integration
• Production-style exception and security handling
• Real-time project implementation
• Interview-oriented discussion after major concepts