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Full Stack Java

HTML | CSS | JavaScript | BootStrap || Core Java | Adv.Java || SpringBoot | MicroServices || Oracle || React JS || AWS Basics || 15+ DevSecOps Tools

Course Overview

Full Stack Java is one of the most in-demand skills in the IT industry. This course will guide you through both front-end and back-end development using Java technologies. You will learn how to build dynamic web applications, manage databases, and develop robust APIs.

Our Full Stack Java Training in KPHB covers essential tools like Core Java, Advanced Java, Spring Boot, Hibernate, RESTful APIs, Angular, and SQL. You will also gain hands-on experience in working with real-time projects to enhance your coding skills.

By the end of the course, you will be proficient in developing scalable and high-performance applications. You will also understand deployment strategies, cloud integration, and DevOps essentials, making you job-ready.

Learn software skills with real experts, either in live classes with videos or without videos, whichever suits you best.

Course Details:

Course Price:

with out videos : ₹ 20,000/-
No Videos Option

Lesson Duration

6 Months

Language:

English

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Description

This Full Stack Java Training in KPHB is designed to help learners master front-end, back-end, and database technologies. The training includes practical coding sessions, real-world projects, and industry-based case studies.

You will start with Java programming fundamentals and gradually move on to advanced concepts like microservices, authentication, and cloud deployment. The course follows an industry-focused curriculum to ensure that you gain job-ready skills.

Course Objectives

  • Master Core Java and Advanced Java for enterprise-level development.
  • Learn Spring Boot, Hibernate, and REST APIs for back-end development.
  • Build dynamic and interactive user interfaces with Angular, HTML, CSS, and JavaScript.
  • Gain expertise in database management using MySQL and MongoDB.
  • Develop and deploy full-stack applications using cloud services and DevOps tools.
  • Work on live projects to apply theoretical knowledge to real-world scenarios.

Prerequisites

  • Basic programming knowledge is recommended but not mandatory.
  • Familiarity with object-oriented programming (OOPs) concepts is helpful.
  • No prior experience in Java or web development is required.

Course Curriculum

  • Introduction
  • Installation
  • Programming Elements
  • First Application
  • Data Types
  • Operators
  • Control Statements
  • Access Modifiers
  • Wrapper Classes
  • Packages
  • OOPS
  • Object Casting
  • Exception Handling
  • Multi Threading
  • Garbage Collection
  • Inner Classes
  • Java I/O
  • File Handling
  • String Handling
  • Reflection API
  • Arrays
  • Collection Framework
  • Map Interface
  • JDK 8 Features
  • JDK 10, 11 Features
  • JDBC (Java Database Connectivity)
    • Introduction to JDBC
    • Establishing Connection to Database
    • Statement
    • PreparedStatement
    • CallableStatement
    • ResultSet Interface & Metadata
    • Batch Updates
    • Transaction Management
  • Servlet
    • Introduction
    • Developing and Deploying Servlet Apps in Diff Servers using Generic Servlet
    • Developing Servlet
    • ServletRequest & ServletResponse
    • ServletConfig
    • ServletContext
    • HttpServlet
    • HttpServletRequest & HttpServletResponse
    • HTML to Servlet Communication
    • Servlet to DataBase Communication
    • RequestDispatching
    • Redirecting
    • Attributes
    • State and Session Management
    • URL Rewriting
    • Hidden Form Fields
    • Cookies
    • HttpSession
    • Filters
    • Listerners
    • Annotations in Servlet Programming
    • Authentication and Authorization(Security in Servlet Programming)
    • Error Handling in Servlet & Working with Welcome-file
  • JSP (Java Server Pages)
    • Introduction & JSP Tags
    • Scripting Elements & JSP Implicit Objects
    • Directives
    • Standard Actions
    • Using Java Bean in JSP
    • Expression Languages with JSTL Introduction
    • Working with JSTL
    • Custom Tags
    • MVC Architectures
    • Deploying project using MVC
  • DB Fundamentals
  • RDBMS
  • Oracle Introduction
  • DDL
  • DRL
  • DML
  • Functions
  • Integrity Constraints
  • Joins
  • Sub Queries
  • Transactions
  • Views
  • Indexes
  • PL/SQL
  • Error Handling
  • Procedures
  • Functions
  • Triggers
  • Web - Introduction & Internet Based Services
  • Introduction to HTML
  • Presentational or Formatting Tags
  • HTML Images
  • Anchor Tag
  • HTML - Tables
  • Lists
  • Frames & Div Tag
  • HTML Forms
  • HTML Form Controls
  • HTML5
  • HTML5 Canvas HTML5-GRAPHICS (2D and 3D Effects)
  • HTML5 SVG & Canvas
  • Multimedia
  • HTML5 Geolocation (Deeper Integration with OS)
  • Introduction to CSS
  • CS Selectors
  • CSS Attributes
  • CSS Lists & CSS Tables
  • Advanced Cascading Style Sheets
  • Border, Text Properties & Backgrounds
  • CSS3 2D & 3DTransforms
  • CSS3 Transitions & CSS3 Animations
  • CSS3 Multiple Columns & CSS3 User Interface
  • What is Scripting Language?
  • The History of JavaScript
  • More in JavaScript
  • JavaScript Operators
  • JavaScript Condition Controls
  • JavaScript Looping Control Statements
  • Arrays
  • Functions
  • JavaScript Object Basics
  • Time Date Math
  • JavaScript - Errors & Exceptions Handling
  • JS OOPs
  • JS HTML DOM
  • Events in JavaScript
  • Regular Expressions
  • JavaScript Window Object
  • JavaScript History Object & Cookies
  • Web Hosting (Live Web Site)
  • Deep learning at Glance
    • Introduction to Neural Network
    • Biological and Artificial Neuron
    • Introduction to perceptron
    • Perceptron and its learning rule and drawbacks
    • Multilayer Perceptron, loss function
    • Neural Network Activation function
  • Training MLP: Backpropagation
  • Cost Function
  • Gradient Descent Backpropagation - Vanishing and Exploding Gradient Problem
  • Introduce to Py-torch
  • Regularization
  • Optmizers
  • Hyperparameters and tuning of the same
  • TENSORFLOW FRAMEWORK
    • Introduction to TensorFlow
    • TensorFlow Basic Syntax
    • TensorFlow Graphs
    • Variables and Placeholders
    • TensorFlow Playground
  • ANN (Artificial Neural Network)
    • ANN Architecture
    • Forward & Backward Propagation, Epoch
    • Introduction to TensorFlow, Keras
    • Vanishing Gradient Descend
    • Fine-tuning neural network hyperparameter
    • Number of hidden layers, Number of neurons per hidden layer
    • Activation function
    • INSTALLATION OF YOLO V8, KERAS, THEANO
  • PY-TORCH Library
  • RNN (Recurrent Neural Network)
    • Introduction to RNN
    • Back Propagation through time
    • Input and output sequences
    • RNN vs ANN
    • LSTM (Long Short-Term Memory)
    • Different types of RNN: LSTM, GRU
    • Biirectional RNN
    • Sequential-to-sequential architecture (Encoder Decoder)
    • BERT Transformers
    • Text generation and classification using Deep Learning
    • Generative-AI (Chat-GPT)
  • Basics of Image Processing
    • Histogram of images
    • Basic filters applied on the images
  • Convolutional Neural Networks (CNN)
    • ImageNet Dataset
    • Project: Image Classification
    • Different types of CNN architectures
    • Recurrent Neural Network (RNN)
    • Using pre-trained model: Transfer Learning
  • React Introduction
  • React Essential Features And Syntax
  • React Components, Props And State
  • Styling Components
  • Debugging React Apps
  • React Component Life Cycle
  • React Hooks
  • React Component In Details
  • HTTP Requests / Ajax Calls
  • React Routing V5 And V6
  • React Forms And Form Validation
  • Deploying React App To The Web React Redux
  • React Material UI
  • Error Handling
  • New Features Of React 18
  • Unit Testing In React
  • Webpack Primer
  • Server - Side Rendering With React
  • Deploying On Cloud
  • Introduction to Spring Boot
  • Building Spring Boot Application
  • Rest Annotation with In Memory Database & CRUD Operations
  • Rest Annotation with Relation DB
  • JPA Repository Concepts
  • Actuator Concepts
  • Spring Boot Custom Logging
  • Spring Boot Profile Components
  • Auto Configuration
  • Thymleaf Concepts
  • Integration with Spring Web
  • Spring Boot Security
  • Database Concepts
  • Core Concepts
  • Microservices
  • Microservices Design Considerations
  • Spring Cloud
  • Spring Cloud Config
  • Netflix
  • Fault Tolerance Concepts
  • API Gateway
  • Messaging Queue Concepts (CloudBus)
  • Oatuh2 Concepts
  • Swagger API
  • Cloud Hosting
  • GIT
  • GitHub
  • Jenkins
  • Docker
  • Datadog
  • JUnit
  • Mockito
  • Jmeter
  • Maven
  • Jira
  • Sonarqube
  • SIF4J
  • ELK
  • Herouku
  • Chef

Who can learn this course

  • Beginners who want to start a career in Java full-stack development.
  • Students and graduates looking for industry-relevant skills.
  • Software professionals who want to upgrade their expertise in full-stack development.
  • Entrepreneurs and freelancers interested in building web applications.

Enroll Now!

In conclusion, our Full Stack Java Training in KPHB, Hyderabad is the perfect program to launch your Coding career. Not only will you gain theoretical knowledge, but you will also apply your skills through hands-on projects.

So why wait? Join today and start your journey in Java Coding with expert guidance!

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FAQ's

Full Stack Java refers to developing both the frontend and backend of web applications using Java technologies. It includes:

  • Frontend – HTML, CSS, JavaScript, React, or Angular.
  • Backend – Java (Spring Boot, Hibernate, REST APIs).
  • Database – MySQL, PostgreSQL, or MongoDB.

It is important because:

  • Java is widely used – Powers enterprise applications, banking systems, and e-commerce platforms.
  • High demand for Full Stack Developers – Companies prefer developers who can handle both frontend and backend.
  • Scalability & Security – Java provides robust security and high performance for large-scale applications.
  • Cross-Platform Compatibility – Java applications can run on any OS without modification.

Full Stack Java development is ideal for building modern web applications, cloud-based solutions, and enterprise software.

A Full Stack Java Developer works with:

Frontend:

  • HTML, CSS, JavaScript – Core web technologies.
  • React or Angular – For building dynamic user interfaces.
  • Bootstrap & Tailwind CSS – For responsive design.

Backend:

  • Core Java – OOP, Multithreading, Collections, Exception Handling.
  • Spring Boot – To develop RESTful APIs and microservices.
  • Hibernate – For database interaction using ORM (Object-Relational Mapping).

Database & Cloud:

  • SQL Databases – MySQL, PostgreSQL for structured data.
  • NoSQL Databases – MongoDB for scalable applications.
  • Cloud Platforms – AWS, Google Cloud, or Azure for hosting.

Other Tools:

  • Git & GitHub – Version control and collaboration.
  • Maven & Gradle – For dependency management.
  • Docker & Kubernetes – For containerization and deployment.

These technologies help developers build scalable, maintainable, and efficient web applications.

Full Stack Java is used in:

  • E-commerce Platforms – Amazon, Flipkart use Java for backend processing.
  • Banking & Finance – Java is used in payment gateways and secure transactions.
  • Healthcare Systems – Hospitals use Java applications for managing patient data.
  • Enterprise Applications – CRM and ERP solutions are built with Java.
  • Cloud-Based Solutions – Java integrates well with AWS, Azure, and GCP.
  • Social Media Platforms – Some social networks use Java-based microservices.

Java is highly scalable, secure, and reliable, making it ideal for large-scale applications.

Learning Full Stack Java offers several advantages:

  • High-Paying Jobs – Full Stack Java Developers are in demand globally.
  • Complete Project Ownership – Work on frontend, backend, and database.
  • Better Career Growth – Move into cloud computing, DevOps, or software architecture.
  • Versatility – Work on web apps, mobile apps, and microservices.
  • Future-Proof Skills – Java has been relevant for over two decades and continues to grow.

With Full Stack Java skills, you can develop scalable, secure, and efficient applications.

To start with Full Stack Java, you should have:

  • Basic Java Knowledge – Understanding OOP, data types, loops, and exception handling.
  • SQL & Database Concepts – Knowledge of MySQL or PostgreSQL is beneficial.
  • HTML, CSS & JavaScript – Basics of frontend development.
  • Understanding of Web APIs – REST API concepts for backend development.
  • Familiarity with an IDE – Eclipse, IntelliJ IDEA, or VS Code.

If you're new, start with Core Java, then progress to Spring Boot and frontend frameworks.

After mastering Full Stack Java, you can apply for:

  • Full Stack Java Developer – Develops both frontend and backend applications.
  • Java Backend Developer – Focuses on API development using Spring Boot and Hibernate.
  • Software Engineer – Works on Java-based enterprise applications.
  • Web Application Developer – Builds dynamic websites and web apps.
  • Cloud Developer – Deploys Java applications on AWS, Azure, or GCP.
  • DevOps Engineer – Automates CI/CD pipelines for Java-based applications.

Java developers are in high demand, especially for enterprise applications, cloud computing, and microservices development.

NNV Naresh is an entrepreneur armed with a noble vision to make a difference in the career aspirations of the students. 20+ years of experience in the education sector, Naresh is the founder and the driving force behind the victorious journey of NareshIT.

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