Roadmap of the JAVA and Full stack (Bootcamp)

Key Outcomes

In this JAVA and Full stack Bootcamp course, you’ll learn how to develop and manage small and large applications and software.

Program Modules

Information is all around us. You can put it to use by learning Java basics. Used in data science, analytics, and engineering, Java makes it easy to work with data and make more informed strategy, operations, and business decisions. It’s a helpful skill for anyone who works with data (even in non-tech roles).

Training Intro: Roadmap of the JAVA and Full Stack Bootcamp

A brief outline of the certificate:

• 3 hours per week for a 3 months duration

• Automated assessments and quizzes

• Repeat unlimited times at no additional cost

• Verified and Certified certificate

• 24×7 support to answer your queries and doubts

• Capstone project

• Resume/Interview preparation & Job placement assistance6

Modules

Module 1: Basic Concepts of JAVA Programming

JAVA Why, When, How and Where?

Primitive Data Types in JAVA

Arithmetic Operators in JAVA

Logical and Bitwise Operators

Relational Operators in JAVA

If – Condition

Nested If – Condition

For Loop in JAVA

Hands-On Exercise on ' For Loop'.

Nested For Loop

Hands-On Exercise on ' Nested for Loop'.

While' & ' Do While' Loop in JAVA

Loop ' Break' & ' Continue' Statements
Module 2: String Operations

String basics

String comparison operations

String search operations

String (Cut) Slice Operations

String Replace Operations

String Conversion Operations
Module 3: Classes and Objects in JAVA

Classes & Objects

OOP Principles

Instantiation

Encapsulation

Specialization

Instance Variables

Class Variables

Constructors

Instance Methods

Class Methods

Method Overloading

This keyword

Passing and returning objects

Garbage Collection in JAVA

Code Examples & Exercises
Module 4: Object Design and Programming with JAVA

Abstraction

Inheritance

Polymorphism

Method Overriding

Associations

Delegation

Code Examples & Exercises
Module 5: JAVA Interfaces

Purpose of Interfaces

When to use them

Interface Declaration

Implementing an Interface

Interface Inheritance

Code Examples & Exercises
Module 6: JAVA Exception Handling

Why Exceptions

Standard Exception Handling Options

Exception Class Hierarchy

Checked vs. Unchecked Exceptions

Catching an Exception: try and catch blocks

Methods Which Throw Exceptions: the throws clause

Handling vs. Declaring Exceptions

System Exceptions vs. Application Exceptions

Writing Custom Exceptions

Code Examples & Exercises
Module 7: JAVA Collections API

Arrays

The JAVA Collections Framework

Collections Interfaces

util.Map.

Collection

util.Map. List

util.Map

util.Set

Concrete Collections

util.ArrayList

util.HashMap

util.HashSet

Iterating through Collections

util.Iterator

Code Examples & Exercises
Module 8: JAVA Input/Output API (Optional)

Streams & Files

Input & Output Streams

File Streams

Object Streams

Object Serialization

Readers & Writers

The JAVA New I/O (NIO) API

Code Examples & Exercises
Module 9: JAVA EE and its frameworks

JSP/ JAVAX

MVC Framework

Spring frameworks

Apache commons

Apache kafka

Elastic search

Program Experience

Office Hours with Learning Facilitators

Demonstrations

Coding Exercises in Each Module

Bite-Sized Learning

Knowledge Checks

Dedicated Program Support Team

Mobile Learning App

Peer Discussion

Capstone Project

Bonus Content on Advanced Topics

Career Support

Certification & Digital Badge

Who Should Attend?

This online program is designed for anyone who is interested in acquiring programming skills in Python & Machine Learning. No prior programming knowledge is required.

Certificate

Upon successful completion of the program, participants will receive a digital certificate of completion from American Institute for IT Professionals. This is a training program, and it is not eligible for academic credit.