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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 Introduction

Are you a fresh graduate job-seeker looking for a fulfilling career in software development? Naresh i Technologies offers best-rated Full Stack Java Training in KPHB, Hyderabad that meets the evolving demands of the IT Industry. Our course offers end-to-end training on Java Programming so students can build dynamic web applications, integrating their knowledge of front-end and back-end technologies.

Course Details:

Course Price:

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

Course Duration

6 Months

Language:

English

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What is Full Stack Java?

Full Stack Java represents both client and server software. A Full Stack Java Developer has the fundamental skill set needed to create fully functioning web applications with client and back end layers, as well as databases, servers, systems engineering, etc. Java is a strong development language for full stack developers due to its platform independence and reliability.

Typical Full Stack Java

Layer
Technologies
Frontend
HTML5, CSS3, JavaScript, Bootstrap, ReactJS
Backend
Core Java, Advanced Java, Spring Framework, Spring Boot, Hibernate
Database
MySQL, Oracle
DevOps Tools
Git, Maven, Jenkins, Docker and 15+ tools..
Cloud
AWS Basics

Who can enroll in this course?

✅ A computer or laptop with a stable internet connection

✅ Basic understanding of English for instructions and communication

✅ Curiosity to learn and consistency in practice

❌ No prior coding experience required

❌ No computer science degree needed

Why Should Freshers Learn Full Stack Java?

High Demand Skillset

Java is one of the most popular programming languages in the world. Full Stack Java Developer jobs are in high demand from fintech, e-commerce, enterprise software, and global tech companies.

One Language, many careers

With Java, you can build scalable web applications, Android apps, enterprise applications, and APIs. You can also build careers in DevOps, cloud computing, and big data with Java.

Job ready in 6-7 months

Our curriculum is laid out in a structured format with practical projects and real-life case studies. The goal for you is to have real experience within just a few months through real-world projects that will build a great portfolio to get Job Ready.

Good for freshers

Java has a strong object-orientated background with a great community, as well as great usage in industry so it's a solid choice for freshers looking for a long-term livelihood in tech.

What You’ll Learn

  • 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
Top Technologies to learn
Register for the Course !

Career Benefits of Full Stack Java

By learning Full Stack Java, you open doors to several job roles:

  • Java Developer

  • Full Stack Java Developer

  • Backend Engineer (Java)

  • Spring Boot Developer

  • Web Application Developer

  • API Developer (Java/Spring)

  • Cloud Application Developer (Java + AWS/GCP)

  • DevOps Engineer (with Java build tools)

  • Microservices Developer

  • Technical Support Engineer (Java-based systems)

  • QA Automation Engineer (Java + Selenium/TestNG)

Average Salary Stats:

Location
Entry-Level Salary
India
₹3–7 LPA
Experienced (India)
₹8 – ₹15 LPA
Abroad (US, Canada, Europe)
$80,000 – $120,000 per annum

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

Not at all, we will cover Java Programming from scratch before we go into detail in advanced modules of programming in Java.

we offer offline, online, and blended learning options.

It usually takes around 6 – 7 months including weekend and weekday batches.

a course completion certificate will be issued after a successful training course.

Yes, every trainee's work is based on live projects so that he or she will be comfortable working on an actual project.

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.

Reach Us

KPHB Branch : 2nd Floor, Sreeramoju Complex, KPHB Phase 1, Hyderabad, 500072.

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