Java Backend Development course

 Our 12-week guided Java Backend Development course will give you the necessary skills and interview preparation. Additionally, gain practical experience developing online applications such as e-wallets and movie ticket-buying platforms.



Course Overview

Course Content

01Week 1:

Session 1: Java Architecture and Basics of OOP

  • Introduction to Java architecture: JDK, JRE, and JVM.
  • Basics of Object-Oriented Programming (OOP): Objects, Classes, Inheritance.
  • Understanding Polymorphism, Abstraction, and Encapsulation in OOP.
  • Practical examples illustrating Object-Oriented Programming concepts.

Session 2: Abstract Classes vs. Interfaces and Exception Handling 

  • Comparison between Abstract Classes and Interfaces with examples and use cases.
  • Exception Hierarchy in Java: understanding types and relationships.
  • Overview of Finally Block for cleanup operations.
  • Throwing Exceptions explicitly using the throw keyword.
  • Exception Propagation: how exceptions propagate up the call stack.
02Week 2:

Session 3: Lambda Expressions, Functional Interfaces, and Collections

  • Exploring Lambda Expressions and Functional Interfaces in Java 8.
  • Practical usage of built-in functional interfaces: Predicate, Consumer, Function.
  • Overview of Java Collections framework: Lists, Sets, Maps.
  • Introduction to Queues in Java Collections.
  • Using Lambdas for concise and functional programming.

Session 4: Generics, Streams and HashMap 

  • Understanding Generics in Java: generic classes and methods.
  • Working with Streams API for functional-style operations on collections.
  • Delving into the workings of HashMap and its usage.
  • Exploring different hashing algorithms used by HashMap.
  • Applying Generics to enhance type safety and code reusability.
  • Leveraging Streams for efficient data processing and manipulation.
03Week 3:

Session 5: Multithreading Basics and Advanced Concepts

  • Introduction to Multithreading: Creating and managing threads in Java
  • Exploring thread groups and thread join operations.
  • Synchronization Mechanisms
  • Exploring thread pools for efficient thread management.
  • Executor Service: Overview and Benefits
  • Differences between Sequential and Parallel Streams

Session 6:  Maven Project Management 

  • Understanding the Need for Maven
  • Working with POM.xml and Maven Repositories
  • Maven Lifecycle Management
  • Introduction to Maven plugins
  • Creating a new Maven project using archetypes

04Week 4:

Session 7: Introduction to Spring Framework

  • Overview of the Spring Framework and its Need.
  • Dependency Injection (DI) and Inversion of Control (IoC) principles.
  • Types of Dependency Injection (constructor and setter)
  • Configuring Beans using XML and annotations.
  • Differentiates between ApplicationContext and BeanFactory in Spring.
  • Bean Lifecycle and Scopes.

Session 8: Spring Boot Basics

  • Advantages of Spring Boot over Traditional Spring Framework and its Purpose
  • Setting up a Spring Boot project using Spring Initializr.
  • Understanding Spring Boot auto-configuration.
  • Creating and running a Spring Boot application.
  • Spring Boot Annotations.
  • Packaging and deploying Spring Boot applications
05Week 5:

Session 9: Spring MVC Basics  & REST API Implementation

  • Overview of Spring MVC architecture and its role in web development.
  • Understanding the Model, View, and Controller components.
  • Setting up a Spring MVC project
  • Handling requests and responses using Spring MVC.
  • Principles and benefits of RESTful architecture.
  • Overview of HTTP methods: GET, POST, DELETE, PUT, PATCH.
  • Designing and implementing RESTful APIs using Spring MVC.

Session 10:  Spring AOP, Lombok API , and Spring Logger

  • Introduction to Aspect-Oriented Programming (AOP).
  • Implementing cross-cutting concerns using Spring AOP.
  • Using Lombok for Simplified Java Code
  • Integrating Lombok in a Spring Boot Project
  • Overview of logging in Spring Boot applications.
06Week 6:

Session 11: Java Database Connectivity (JDBC)

  • Overview of JDBC and its role in database connectivity.
  • Learn DDL and DML commands.
  • Setting up Database Configuration
  • Introduction to Spring JDBC Template for database operations.
  • Implementing some operations using the JDBC Template.
  • Mapping database rows to Java objects using RowMapper.
  • Understand how connection pooling works.

Session 12: Hibernate and Spring Data JPA 

  • Understanding the Need for Abstraction
  • Introduction to JPA (Java Persistence API)
  • Introduction to Hibernate
  • Entity Classes and Annotations
  • JPA Repository and Performing CRUD Operations
  • Implementing transactional behavior in Spring Boot applications.
  • Learn about relationships in JPA (One-to-One, One-to-Many, Many-to-One, Many-to-Many)
07Week 7:

Session 13: Minor Project - Digital Library

  • Work on a Digital Library [Minor Project]
  • Setting Up the Project Environment
  • Design the technical architecture of an application
  • Design a project flowchart to visualize the overall architecture and workflow.

Session 14: Digital Library [Minor Project] (Continued) 

  • Continue working on the Digital Library [Minor Project]
  • Add Features to the Project
  • Understand project HLSD
  • Data Modeling concepts
08Week 8:

 

Session 15: Unit Testing with JUnit & Mockito 

  • Describe JUnit5 testing
  • Implement repository layer testing
  • Explore the Mockito framework
  • Implement service layer testing
  • Explore Mockmvc
  • Implement controller layer testing

Session 16: Redis & Caching

  • Learn the differences between Cache and Cookie.
  • Understand Server Cache vs. Browser Cache.
  • Get introduced to Redis.
  • Work with Local Redis Server.
  • Online Centralized Redis Server for efficient caching.
09Week 9:

Session 17: Spring Security & Authentication

  • Learn about Spring Security and its terminologies.
  • Setting Up Spring Security
  • Authentication and Authorization
  • Understand Authorization with In-Memory.
  • Database user Authentication.

Session 18: Digital Library [Minor Project] (Continued)

  • Integration of J-unit and Redis caching in a Minor project.
  • Add Spring Security in a Minor project.
  • Improvement and feature addition for Digital Library [Minor Project].
  • Gain insights into project overview, project HLSD, and project Data Modeling.
10Week 10:

Session 19: OAuth 2 & Github Integration

  • Introduction to OAuth2.
  • OAuth 2 Providers
  • Learn the workflow of OAuth 2.0.
  • Explore Scopes and Consent.
  • Implement Github OAuth2 integration with Spring Boot.
  • Implementation Steps.

Session 20: Microservices

  • Difference between Monolith Architecture and Microservices Architecture.
  • Develop microservices using Spring Boot.
  • Intercommunication between Microservices using Feign client.
  • Load Balancing Algorithms and Introduction to Eureka Server
  • Learn about the Consumers and Producers Model.
11Week 11:

Session 21: Kafka Integration with Microservices and Spring Cloud

  • Learn about Message Queues and their types.
  • Integrate Kafka with Spring Boot.
  • Introduced to Kafka Message Queue for efficient messaging systems.
  • Introduction to Spring Cloud and its configuration & Hystrix circuit breaker.

Session 22: E-Wallet App like Paytm Pay [Major Project Part 1]

  • Start working on an E-Wallet App like Paytm Pay.
  • Project Overview.
  • Project HLSD.
  • Project Data Modeling.
  • Building Microservice Architecture.
12Week 12:

Session 23: E-Wallet App like Paytm Pay [Major Project Part 2]

  • Major Project Continued.
  • Design the technical architecture of an application
  • Set up Spring Cloud Gateway to route requests to the appropriate microservices.
  • Project Queries.

Session 24: Deployment Java Application

  • Introduction to the deployment process and its workflow.
  • CI/CD: Setting up CI/CD pipelines using Jenkins or GitHub Actions.
  • Building and packaging Java applications.
  • Deploying our projects to the cloud.
  • Monitoring and logging using tools like Prometheus, Grafana, and the ELK stack (Elasticsearch, Logstash, Kibana).

 

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