Spring Boot Enterprise API Patterns – Beginner Series

About Course

You know Spring Boot basics. Now it’s time to write code that actually belongs in production.

This is your starting point toward becoming a job-ready Spring Boot backend engineer — built straight from corporate training sessions delivered to development teams across the industry. 100% implementation-driven.

You’ll build a clean, structured REST API from scratch covering everything that real enterprise projects demand — paginated GET APIs, validated POST requests using DTO records and mapping, PUT and PATCH patterns done right, hard and soft DELETE strategies, a proper Global Exception Handler, Custom Exceptions, Filter APIs, and Many-to-One model relationships.

Every pattern here is something your team lead will actually expect from you on the job.

What makes this different: Real corporate implementation. Clean API structure. The way it’s actually done in the industry — not just the way it works in tutorials.

What you’ll walk away with: A fully working enterprise-grade Spring Boot API, clean code habits, and the foundation to confidently call yourself a Spring Boot backend engineer — starting here.

This is Part 1 of the DeepCoder Spring Boot Backend Engineer series.

Course Content

Spring Boot Setup, Models, DTOs and Persistence
We will create the project using Spring Initializer, add dependencies, configure DB properties and create a clean model class. Create POST API for Ticket model with validations, mapping and customer connection before persisting to DB

Project Setup with Spring Initializr — Dependencies, DB Config and Project Structure

07:30
JPA Entity Design — Ticket and Customer Model Classes with @ManyToOne

08:07
POST API Flow Explained — Controller, Service, Repository Layer by Layer

04:14
Request DTO with Validation — @Valid, @NotNull, @NotBlank on TicketDto

05:51
DTO to Entity Mapping – Building a Clean Mapper Class Without MapStruct

04:43
Save Entity with Foreign Key — Persist Ticket with Customer Relationship Using JPA

06:13

GET Endpoints & Query Patterns
In this section, you'll build a complete set of GET APIs in Spring Boot — from a basic fetch-all with pagination to advanced filtering by enums, date ranges, and related entities. By the end, you'll know how to design clean, production-ready read APIs and protect your response structure using DTOs. Every video is hands-on with a working demo.

Update & Delete Data Operations
In this section, you will learn to implement precise update logic, manage record lifecycles through soft deletes, and enforce business rules within your API endpoints.

Spring Boot Enterprise API Patterns – Beginner Series

About Course

Course Content

Spring Boot Setup, Models, DTOs and Persistence
We will create the project using Spring Initializer, add dependencies, configure DB properties and create a clean model class. Create POST API for Ticket model with validations, mapping and customer connection before persisting to DB

Project Setup with Spring Initializr — Dependencies, DB Config and Project Structure

JPA Entity Design — Ticket and Customer Model Classes with @ManyToOne

POST API Flow Explained — Controller, Service, Repository Layer by Layer

Request DTO with Validation — @Valid, @NotNull, @NotBlank on TicketDto

DTO to Entity Mapping – Building a Clean Mapper Class Without MapStruct

Save Entity with Foreign Key — Persist Ticket with Customer Relationship Using JPA

What You’ll Build in This Section

GET All API with Pagination

GET by ID — Fetching a Single Resource with Proper Error Handling

Filter API by Enum — Query by Priority and Status

Date Range Filter API — GET Requests with fromDate and toDate Params

Filter by Related Entity — GET Records by Customer ID (Foreign Key Query)

Response DTO Pattern — Stop Exposing Your JPA Entities in REST APIs

Update & Delete Data Operations
In this section, you will learn to implement precise update logic, manage record lifecycles through soft deletes, and enforce business rules within your API endpoints.

Section Introduction – what will you learn

PUT API: Implementing Full Resource Updates

PATCH API – Handling partial updates

Status Update: State Management and One-Way Transitions

Soft Delete : Implementing Logical Deletions

About Course

Course Content

Spring Boot Setup, Models, DTOs and Persistence We will create the project using Spring Initializer, add dependencies, configure DB properties and create a clean model class. Create POST API for Ticket model with validations, mapping and customer connection before persisting to DB

Project Setup with Spring Initializr — Dependencies, DB Config and Project Structure

JPA Entity Design — Ticket and Customer Model Classes with @ManyToOne

POST API Flow Explained — Controller, Service, Repository Layer by Layer

Request DTO with Validation — @Valid, @NotNull, @NotBlank on TicketDto

DTO to Entity Mapping – Building a Clean Mapper Class Without MapStruct

Save Entity with Foreign Key — Persist Ticket with Customer Relationship Using JPA

What You’ll Build in This Section

GET All API with Pagination

GET by ID — Fetching a Single Resource with Proper Error Handling

Filter API by Enum — Query by Priority and Status

Date Range Filter API — GET Requests with fromDate and toDate Params

Filter by Related Entity — GET Records by Customer ID (Foreign Key Query)

Response DTO Pattern — Stop Exposing Your JPA Entities in REST APIs

Update & Delete Data Operations In this section, you will learn to implement precise update logic, manage record lifecycles through soft deletes, and enforce business rules within your API endpoints.

Section Introduction – what will you learn

PUT API: Implementing Full Resource Updates

PATCH API – Handling partial updates

Status Update: State Management and One-Way Transitions

Soft Delete : Implementing Logical Deletions

Student Ratings & Reviews

Spring Boot Setup, Models, DTOs and Persistence
We will create the project using Spring Initializer, add dependencies, configure DB properties and create a clean model class. Create POST API for Ticket model with validations, mapping and customer connection before persisting to DB

Update & Delete Data Operations
In this section, you will learn to implement precise update logic, manage record lifecycles through soft deletes, and enforce business rules within your API endpoints.