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Full Stack Java Development

Course Overview

The Java Full Stack Developer Course offered by JTC provides comprehensive training in Java programming language, along with front-end and back-end web development frameworks like Angular, Spring, and Hibernate. The course covers essential topics like database management, RESTful APIs, and DevOps tools. Students also gain hands-on experience by working on real-world projects and get certified upon completion.

Why to

Join This Course

Student from any stream can join and become a certified Java Professional

Java Full Stack certification valued by all sectors

Assured placement with high salary package and career growth

  • Comprehensive training in Java programming language.
  • Covers front-end and back-end web development frameworks like Angular, Spring, and Hibernate.
  • Essential topics covered include database management, RESTful APIs, and DevOps tools.
  • Hands-on experience gained by working on real-world projects.
  • Course includes certification upon completion.

Course Curriculum

Java Basic

Introduction of Program

Introduction of Programming Language

Introduction of Java

Installation and Classpath setting

Important terminology

Java Language

Character Set | Keyword | Identifiers

Data Types

Variable

Literals

Operator

Control Statement

Array

OOPS

Introduction of OOPS

Class | Object | Class Loaders & Class Loading Concept

Instance & Static Variable

Block

Method

Constructor

Abstraction

Encapsulation

Inheritance

Polymorphism

Abstract Class

Interface

Inner Class

Package

Introduction of Package

Package configuration

import

Jar files

Access Modifier

java.lang package

Introduction of java.lang package

java.lang.Object class

Garbage Collection

Cloning

java.lang.String class

java.lang.StringBuffer class

java.lang.StringBuilder class

java.lang.System class

java.lang.Runtime class

Wrapper Class

Exception Handling

Introduction of Exception

Different types of Exceptions

Try-Catch & Finally block

throw & throws keyword.

Autoclosable Interface

Multi-threading

Introduction of Multi-threading.

Thread Priority

User-Define Thread

Thread Life-Cycle

Dead lock

Synchronization

Inter-Thread Communication

Collction Framework

Introduction of Collcetion Framework

List

Set

Map

Queue

Iterator, List-Iterator & Enumeration

Generics

Introduction of Generics

Generics Classes

Bounded Types

Generics Methods & Wild-Card characters

IO Package

Introduction

Stream

Filtering

Storing Data records

Readers

Writers

Files

Introduction

File Classes

Untility Methods and Constructor

Action Methods

Object Serialization

Introduction of Serialization

Reading an object from a files

Custom Serialization

Externalizable

Serial Varsion UID

Scanner Class

Introduction of Scanner Class

Utility Methods & Constructors.

Annotation

Introduction of Java Annotation

Types of Annotation

Built-In Annotation

Lambda Expression

Functional Interface

Stream API

Default & Static Method in Interface

Method Reference

Optional Class

New Date & Time API

Sealed Class

Record

JDBC

Introduction of JDBC

JDBC Drivers

JDBC Statements

Batch Updates

Result Set

Row Set

Servlet

Introduction of Servlet

Introduction of Servlet

Web Server | Web Client | Web Container | Http & Https | TCP & IP | DNS

Web Server setup

Servlet API

Servlet Example using Web.xml

Servlet Example using Annotations

Servlet Life Cycle

Servlet Parameters

Request Dispatcher

Servlet Thread Models

HttpServletRequest & HttpServletResponse.

Session Management

Exploring HttpSession

Servlet Scopes

Servlet Filter & Filter Chaining

Listeners

JSP

Introduction of JSP

JSP Life-Cycle & JSP Life-Cycle Methods

JSP Implecit Objects

JSP Scripting formats

JSP Directives

JSP Standard Actions

JSP Scopes

JSP EL Expression

JSTL Tags

Custom Tags

Introduction of Hibernate

Difference between JDBC and Hibernate

Hibernate Features

First Example of Hibernate using hbm.xml file

First Example of Hibernate using annotations

Hibernate Inheritance Mapping

Table Per Class Mapping

Table Per Concrete Class mapping

Association Mapping

One-to-One Uni-directional Mapping

One-to-One Bi-directional Mapping

Many-to-Many Mapping

Version Mapping

Timestamp Mapping

Hibernate Example on DAO Pattern

Hibernate Query Language SQL | HQL | QBC | Native Query | Named Query

Polymorphic Query

Positional Parameters & Named Parameters

Simple Primary Key

Custom Primary Key

Composite Primary Key

Introduction of Transaction Management

ACID Property

Transaction Concurrency Problem & Solutions

Types of Transactions.

Hibernate Connection Management

JDBC Transaction

JTA Transaction

CMT Transaction

Hibernate Architecture

Exploring SessionFactory

Object States

Introduction of Hibernate Cache

Different types of Hibernate Cache

Hibernate Cache Architecture

JSP

About Spring 5.x Training

Spring 5.x Course Prerequisite

Spring 5.x Training Course Objective

Spring 5.x Training Course Duration

Spring 5.x Training Overview

Spring Introduction

Spring Core Module

Spring Core Module with Annotations

Spring Core Module with 100% Code/Java Config Approach.

Spring Boot Core

Spring JDBC/DAO

Spring AOP Module

Spring Transaction Management

Spring MVC

Spring Security

Spring ORM

Spring Data and Spring Data JPA

Spring Batch

Spring Mail

Introduction to Spring MicroServices

How to Explain Project Architectures

Spring Boot introduction

Spring boot - Bootstrapping

Spring boot - Tomcat Development

Spring boot - Build System

Spring boot - Code Structure

Spring boot - Spring beans and dependency injection

Spring boot - Runners

Spring boot - Application Properties

Spring boot - Logging

Spring boot - Building Restful Web Service

Spring boot - Exception Handling

Spring boot - Interceptor

Spring boot - Servlet Filter

Spring boot - Rest Template

Spring boot - File Handling

Spring boot - Service Components

Spring boot - Consuming Restful Web Services

Spring boot - Cors Support

Spring boot - Internationalization

Spring boot - Scheduling

Spring boot - Enabling Https

Spring boot - Eureka Server

Spring boot - Service Registration With Eureka

Spring boot - Cloud Configuration Server

Spring boot - Cloud Configuration Client

Spring boot - Actuator

Spring boot - Admin Server

Spring boot - Admin Client

Spring boot - Enable Swagger2

Spring boot - Creating Docker Image

Spring boot - Tracing Micro Service Logs

Spring boot - Flying Database

Spring boot - Web Socket

Spring boot - Batch Service

Spring boot - Spring for Apache Kafka

Spring boot - Database handling

Spring boot - Securing Web Application

Spring boot - OAuth2 with JWT

Spring Data JPA Introduction

What is Spring Data JPA?

Advantages of Using Spring Data JPA

Overview of JPA (Java Persistence API)

How Spring Data Enhances JPA

Core Concepts

Entities and Repositories

Relationships (One-to-One, One-to-Many, Many-to-One, Many-to-Many)

Entity Lifecycle and States (Transient, Persistent, Detached, Removed)

Setting Up Spring Data JPA

Project Setup with Spring Boot

Configuring DataSource and JPA Properties

Maven/Gradle Dependencies

Defining application.properties / application.yml

Repositories in Spring Data JPA

Repository Interfaces Overview

  • CrudRepository
  • PagingAndSortingRepository
  • JpaRepository

Custom Repository Methods

Query Methods Derived from Method Names

Working with Entities

Entity Mapping with Annotations

  • @Entity, @Table, @Column
  • @Id, @GeneratedValue
  • @Embedded and @Embeddable

Primary Key Strategies

Embedded and Composite Keys

Relationships and Associations

Mapping Relationships with @OneToOne, @OneToMany, @ManyToOne, @ManyToMany

Cascading Operations

Fetch Types: EAGER vs LAZY Loading

Join Tables and MappedBy

Querying Data

JPQL (Java Persistence Query Language)

Native Queries

Named Queries

@Query Annotation for Custom Queries

Projections and DTOs

Specifications and Criteria API

Pagination and Sorting

Pagination with Pageable

Sorting with Sort

Combining Pagination and Sorting

Transactions and Exception Handling

@Transactional Annotation

Transaction Propagation and Isolation Levels

Exception Translation in Spring Data JPA

Auditing and Versioning

Enabling JPA Auditing

Using @CreatedDate, @LastModifiedDate

Optimistic Locking with @Version

Spring Data JPA Best Practices

Repository Design Patterns

Avoiding N+1 Select Problems

Caching Strategies

Using DTOs for API Responses

Advanced Topics

Spring Data REST Integration

Query by Example (QBE)

Multi-Tenancy with Spring Data JPA

Integration with Spring Security

Spring Data JPA in Microservices

JPA and Microservices Design

Handling Data Consistency

Distributed Transactions

Troubleshooting and Debugging

Common Pitfalls

Logging SQL Queries

LazyInitializationException and How to Fix It

References & Further Reading

Official Spring Data JPA Documentation

Useful Tools and Libraries

Introduction

What is Spring MVC?

What is Spring Boot?

Why Testing is Important in Spring Applications?

Types of Testing in Spring Ecosystem

Basics of Testing in Spring

Unit Testing vs Integration Testing

Mocking Dependencies

Overview of Spring Test Context Framework

Introduction to JUnit and Mockito

Testing in Spring MVC

Unit Testing Controllers

Using MockMvc

Testing Request Mappings

Testing Response Status and JSON

Mocking Services and Repositories


Testing Services

Using Mockito for Service Layer

Verifying Service Logic


Testing Repositories

Using @DataJpaTest

Testing with H2 In-Memory Database


Exception Handling Testing

Testing @ControllerAdvice

Validating Error Responses

Testing in Spring Boot

Spring Boot Testing Features

@SpringBootTest Overview

Loading ApplicationContext

Testing Embedded Server


Testing REST APIs

Using TestRestTemplate

Testing JSON Responses

Testing Security Configurations


Database Testing

Using @DataJpaTest with H2

Using Testcontainers for Integration Tests


Testing Configuration Properties

Using @TestConfiguration

Testing @ConfigurationProperties

Advanced Testing Topics

Mocking External APIs with WireMock

Using Rest Assured for API Testing

Testing Asynchronous Code

Testing Kafka Consumers/Producers in Spring Boot

Test Utilities and Tools

Mockito

AssertJ

Hamcrest Matchers

Spring Test Utils

JUnit 5 Extensions in Spring Boot

Best Practices

Test Pyramid (Unit, Integration, End-to-End)

Keeping Tests Fast and Isolated

Data Setup and Cleanup (Flyway/Liquibase)

Avoiding Flaky Tests

Real World Scenarios

Testing Microservices with Spring Boot

Testing WebSockets and Messaging

Contract Testing with Spring Cloud Contract

Future Trends

Testcontainers in Spring Boot 3.x

Native Testing with Spring Boot and GraalVM

Cloud Testing Strategies

Introduction to Microservices

What are Microservices?

Monolithic vs Microservices Architecture

Key Characteristics of Microservices

Advantages & Disadvantages

Microservices Architecture

Components of Microservices

API Gateway

Service Registry and Discovery

Database per Service Pattern

Communication (Synchronous vs Asynchronous)

Design Principles

Single Responsibility Principle

Decentralized Data Management

Domain-Driven Design (DDD)

Event-Driven Architecture

Scalability and Resilience Patterns

Building Microservices

Choosing Technology Stack (Spring Boot, Node.js, etc.)

RESTful APIs and gRPC

Service-to-Service Communication (REST, Message Queues)

Data Management Strategies

Shared Database vs Database per Service

Saga Pattern

CQRS (Command Query Responsibility Segregation)

Security in Microservices

Authentication and Authorization (OAuth2, JWT)

API Gateway Security

Securing Inter-service Communication

Rate Limiting & Throttling

Deployment Strategies

Containerization (Docker)

Orchestration (Kubernetes)

CI/CD Pipelines

Blue-Green Deployment

Canary Deployment

Microservices Tools & Frameworks

Spring Boot & Spring Cloud

Netflix OSS (Eureka, Hystrix, Zuul)

Docker & Kubernetes

Istio Service Mesh

Monitoring Tools (Prometheus, Grafana, ELK stack)

Observability & Monitoring

Centralized Logging

Distributed Tracing (Zipkin, Jaeger)

Health Checks

Metrics and Alerts

Resiliency Patterns

Circuit Breaker Pattern

Retry Pattern

Bulkhead Pattern

Fallback Mechanisms

Testing Microservices

Unit Testing

Contract Testing (Pact)

Integration Testing

End-to-End Testing

Chaos Testing

Case Studies / Real World Examples

Netflix

Amazon

Uber

Future Trends in Microservices

Serverless Microservices

Micro Frontends

AI-driven Microservices Management

Introduction to Apache Kafka

What is Apache Kafka?

History and Evolution of Kafka

Why Kafka? (Use Cases & Benefits)

Kafka vs Traditional Message Brokers

Kafka Architecture Overview

Kafka Core Concepts

Producers

Consumers

Brokers

Topics

Partitions

Offsets

Kafka Cluster Architecture

ZooKeeper Role in Kafka

Kafka Data Flow

Kafka Components in Detail

Topics and Partitions

Brokers and Clusters

Producers and Consumers

Consumer Groups

Kafka Connect

Kafka Streams

Kafka REST Proxy

Kafka Installation & Setup

Setting up Kafka (Single Node & Cluster)

Installing ZooKeeper

Configuring Kafka Broker

CLI Tools for Kafka

Producing and Consuming Data

Writing a Kafka Producer

Writing a Kafka Consumer

Message Serialization & Deserialization

Keyed vs Non-Keyed Messages

Kafka Internals

Message Storage

Replication Mechanism

Leader and Follower Roles

ISR (In-Sync Replicas)

Log Segmentation

Kafka in Production

Scaling Kafka Clusters

Monitoring Kafka (JMX, Prometheus, Grafana)

Kafka Security

Authentication (SSL, SASL)

Authorization (ACLs)

Encryption (SSL)

Kafka and Microservices

Kafka for Event-Driven Microservices

Kafka vs REST APIs

Designing Event-Driven Architectures

Saga Pattern with Kafka

Using Kafka with Spring Boot

Advanced Kafka

Kafka Streams API

Kafka Connect API

Exactly Once Semantics

Partitioning Strategies

Rebalancing and Consumer Lag

Testing with Kafka

Unit Testing Kafka Producers and Consumers

Embedded Kafka for Integration Tests

Fault Tolerance Testing

Kafka Ecosystem

Kafka Connectors (Source & Sink)

Confluent Platform Overview

KSQL (Kafka SQL)

Schema Registry

Real World Use Cases

Kafka at LinkedIn, Netflix, Uber

Kafka in IoT, Financial Systems, and Big Data Pipelines

Future Trends & Alternatives

Kafka vs Pulsar vs RabbitMQ vs NATS

Cloud-native Kafka (MSK, Confluent Cloud)

Serverless Kafka

Introduction to CI/CD

What is CI/CD?

Importance of CI/CD in Modern Development

Benefits of CI/CD

CI/CD Concepts and Terminology

Continuous Integration (CI)

Continuous Delivery (CD)

Continuous Deployment

DevOps and CI/CD Relationship

Key Terminologies (Build, Test, Deploy, Pipeline, etc.)

CI/CD Pipeline Overview

What is a CI/CD Pipeline?

Components of a CI/CD Pipeline

Pipeline Stages Overview

Stages of a CI/CD Pipeline

Source Stage (Version Control)

Build Stage

Test Stage (Unit, Integration, Functional Testing)

Deploy Stage (Staging & Production)

Monitor & Feedback Stage

Tools for CI/CD

Jenkins

GitLab CI/CD

CircleCI

Travis CI

Azure DevOps

AWS CodePipeline

Docker & Kubernetes in CI/CD

Pipeline as Code

What is Pipeline as Code?

YAML Configuration Examples

Benefits of Declarative Pipelines

CI/CD Workflow Example

Example: A Typical Workflow

Sample CI/CD Pipeline Diagram

Best Practices in CI/CD

Commit Early, Commit Often

Automated Testing

Rollbacks and Roll-forwards

Security in CI/CD (DevSecOps)

Monitoring & Alerting

Challenges in CI/CD

Common Pitfalls

Overcoming Pipeline Bottlenecks

Scaling CI/CD for Large Teams

Real-World Case Studies

CI/CD in Netflix

CI/CD in Amazon

CI/CD in a Microservices Architecture

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Get General Answers

FAQ Questions

It is a comprehensive course in Java programing covering all areas of its applications.
Java full stack course certification is highly valued by most sectors. After completing JAVA full stack developer course one can take up job projects in domains of automation and hyper-automation, block-chain, UX/UI, data engineering, big data, app development, cloud, AI and several other domains.
You may be from any stream but if you have appreciation and aptitude for Programing and its use in your chosen subject/domain, you can benefit in your career by becoming a Java professional. A full stack course in Java will train you in applying Java programing language in your chosen work profile and sector.
Undergraduates, graduates, gap year candidates from any stream, with aptitude for quantitative abilities/coding/programing, can enroll for java full stack skilling course and become certified professionals.
Java full stack course certification is highly valued in most sectors. The job assurance is high, the salary package and career growth prospects are good.
It takes minimum time of 8 months to become a Java full stack certified professional.
The course modules are comprehensive and cover all theory and practical aspects. The course demands dedication for becoming ingrained with the relevant skills and earning a certified Java professional badge.
An average candidate needs to dedicate around----------hours to progress in the Java full stack course.
Since Java full stack certification is valued by most industries it is considered under high skills job profiles. The salary offered depends on candidate expertise, education, interview performance and ability to apply concepts and also on the overall prevailing economic situation. It is important for candidates to deliberate upon their own interests, sector/domains, teams, job roles and responsibilities, career growth prospects, while choosing a company.
Full stack developers, due to their programming skills in a versatile and popular language like Java are in demand in most sectors as most sectors are IT driven. Candidates from engineering streams have good opportunities in software development companies, AI, machine learning companies. Candidates from other streams have opportunities in banking (data science), rating industries, OTT platforms, companies driven by data. Java full stack developers are hired by MNCs, and top companies in India as well as overseas.
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