Java Full Stack Training Curriculum

Java Full Stack Training Curriculum

From foundational concepts to advanced application development, master the entire Java Full Stack ecosystem.

  • 1. Introduction to Programming
    • What is Programming?
    • Algorithms and Flowcharts
    • Problem-Solving Techniques
    • Introduction to IDEs (Integrated Development Environments) - e.g., VS Code, IntelliJ IDEA, Eclipse
    • Basic Command Line Interface (CLI) usage
  • 2. Data Structures & Algorithms (DSA)
    • 2.1. Basic Data Structures: Arrays (1D, 2D, Multi-dimensional), Linked Lists (Singly, Doubly, Circular), Stacks (LIFO), Queues (FIFO), Hash Tables (HashMaps, HashSets)
    • 2.2. Advanced Data Structures: Trees (Binary Trees, Binary Search Trees, AVL Trees, Red-Black Trees), Graphs (Adjacency Matrix, Adjacency List, Traversal algorithms - BFS, DFS), Heaps (Min-Heap, Max-Heap)
    • 2.3. Algorithms: Sorting Algorithms (Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort, Heap Sort), Searching Algorithms (Linear Search, Binary Search), Recursion and Dynamic Programming, Time and Space Complexity Analysis (Big O Notation)
  • 3. Version Control System (VCS)
    • 3.1. Git Basics: Introduction to Version Control, Installing Git, Basic Git Commands (`git init`, `git add`, `git commit`, `git status`, `git log`), Branching and Merging, Resolving Merge Conflicts, Git Ignore
    • 3.2. GitHub/GitLab/Bitbucket: Creating and Managing Repositories, Cloning Repositories, Pushing and Pulling Changes, Forking and Pull Requests, Collaborative Workflows
  • 1. Java Fundamentals:
    • History and Features of Java, JVM, JRE, JDK Explained
    • Java Installation and Environment Setup, First Java Program ("Hello World")
    • Data Types (Primitive and Non-Primitive), Variables, Literals, Operators
    • Control Flow Statements, Type Casting, Keywords and Identifiers, Packages
  • 2. Object-Oriented Programming (OOP) in Java:
    • 2.1. Classes and Objects: Defining Classes, Creating Objects, Constructors, `this` Keyword, Instance Variables and Methods, Static Members, `final` Keyword
    • 2.2. Encapsulation: Data Hiding, Access Modifiers, Getters and Setters
    • 2.3. Inheritance: Types of Inheritance, `super` Keyword, Method Overriding
    • 2.4. Polymorphism: Method Overloading and Overriding
    • 2.5. Abstraction: Abstract Classes, Interfaces
  • 3. Advanced Java Concepts:
    • 3.1. Exception Handling: `try-catch-finally`, `throw`, `throws`, Custom Exceptions
    • 3.2. Multithreading: Threads, Lifecycle, Synchronization, Thread Pools, Deadlock
    • 3.3. Collections Framework: List, Set, Map, Queue interfaces and classes (`ArrayList`, `LinkedList`, `HashSet`, `TreeSet`, `HashMap`, `TreeMap`), Iterators
    • 3.4. Generics: Type Safety, Generic Classes/Interfaces/Methods, Wildcards
    • 3.5. Java I/O: Byte Streams vs. Character Streams, File Handling, Serialization
    • 3.6. Lambda Expressions and Stream API (Java 8+): Functional Interfaces, Stream Operations, Optional Class
    • 3.7. Date and Time API (Java 8+): `LocalDate`, `LocalTime`, `LocalDateTime`, `ZonedDateTime`
  • 1. HTML5 (HyperText Markup Language)
    • 1.1. Basics: Document Structure (`<!DOCTYPE html>`, `<html>`, `<head>`, `<body>`), Elements and Attributes, Headings, Paragraphs, Lists, Links, Images
    • 1.2. Semantic HTML: New Semantic Elements (`<header>`, `<footer>`, `<nav>`, `<article>`, `<section>`, `<aside>`, `<main>`, `<figure>`)
    • 1.3. Forms: Form Elements, Input Types, Form Validation
    • 1.4. Media: Embedding Audio and Video, Iframes
  • 2. CSS3 (Cascading Style Sheets)
    • 2.1. Basics: Syntax, Selectors, Ways to include CSS, Colors, Units, Box Model
    • 2.2. Styling Properties: Text, Background, Border, Display, Positioning
    • 2.3. Advanced CSS: Flexbox, CSS Grid, Transitions and Animations, Responsive Web Design (Media Queries), CSS Variables, Sass/Less (Introduction)
  • 3. JavaScript (ECMAScript 6+)
    • 3.1. Basics: Variables (`var`, `let`, `const`), Data Types, Operators, Control Flow, Functions, Arrays, Objects
    • 3.2. DOM Manipulation: Selecting Elements, Modifying Content/Attributes/Styles, Creating/Removing Elements
    • 3.3. Events: Event Listeners, Event Bubbling/Capturing, Common Events
    • 3.4. Asynchronous JavaScript: Callbacks, Promises, `async/await`, Fetch API
    • 3.5. ES6+ Features: Destructuring, Spread/Rest, Classes, Modules
    • 3.6. Introduction to JSON
  • 4. Front-End Frameworks (Choose one for in-depth coverage)
    • 4.1. React.js: JSX, Components (Functional/Class), Props, State, Hooks, Routing, State Management (Context API, Redux - Intro), API Calls
    • 4.2. Angular (Introduction): Components, Modules, Data Binding, Services, Routing, HTTP Client
    • 4.3. Vue.js (Introduction): Components, Directives, Reactivity System, Routing, State Management
  • 5. Responsive Frameworks (e.g., Bootstrap)
    • 5.1. Bootstrap: Grid System, Components, Utilities, Responsive Classes
  • 1. Advanced Java for Web (Servlet & JSP)
    • 1.1. JDBC: Architecture, Drivers, Connection, SQL Queries, `ResultSet`, Transactions
    • 1.2. Servlets: Lifecycle, `HttpServlet`, Request/Response, Deployment Descriptors/Annotations, Session Management, Filters, Listeners
    • 1.3. JSP: Architecture, Elements, Implicit Objects, Directives, JSTL, EL, Custom Tags, JavaBeans
    • 1.4. MVC Architecture in traditional Java Web Apps
  • 2. Spring Framework
    • 2.1. Spring Core: IoC, DI, Beans, Configuration, Annotations
    • 2.2. Spring MVC: DispatcherServlet, Controllers, `ModelAndView`, View Resolvers, Form Handling
    • 2.3. Spring Boot: Auto-Configuration, Starters, CLI, `@SpringBootApplication`, Externalized Configuration, Actuator
    • 2.4. Spring Data JPA & Hibernate: ORM, JPA, Entity Mapping, CRUD with `JpaRepository`, Custom Queries, Transaction Management, Lazy/Eager Loading
  • 3. RESTful Web Services
    • 3.1. REST Principles: Statelessness, HTTP Methods, Status Codes, Idempotency
    • 3.2. Building RESTful APIs with Spring Boot: `@RestController`, `@RequestMapping`, `@RequestBody`, CRUD APIs, Exception Handling, Versioning
    • 3.3. API Documentation: Swagger/OpenAPI
  • 4. Microservices (Introduction)
    • What are Microservices?, Advantages/Disadvantages, Spring Cloud Ecosystem (brief), Inter-service Communication
  • 1. Relational Databases (SQL)
    • 1.1. SQL Fundamentals: DBMS, RDBMS, DDL, DML, DCL, TCL, `SELECT` (WHERE, GROUP BY, ORDER BY), Joins, Subqueries, Aggregate Functions, Indexes, Views
    • 1.2. Database Design & Normalization: ER Diagrams, Normalization Forms (1NF, 2NF, 3NF, BCNF), Keys
    • 1.3. Popular RDBMS: MySQL / PostgreSQL (Hands-on), Oracle / SQL Server (Conceptual)
  • 2. NoSQL Databases (Introduction)
    • 2.1. Introduction to NoSQL: When to use, Types (Document, Key-Value, Column-Family, Graph)
    • 2.2. MongoDB (Example Document Database): Document Model, Basic CRUD, JSON/BSON, Shell Commands, Spring Data MongoDB integration
  • 1. Testing in Java:
    • 1.1. Unit Testing with JUnit: `@Test`, Assertions, TDD principles
    • 1.2. Mocking with Mockito: Mocking Dependencies, `@Mock`, `@InjectMocks`, `when()`, `verify()`
    • 1.3. Integration Testing with Spring Boot Test: `@SpringBootTest`, `@WebMvcTest`, REST API Testing
    • 1.4. End-to-End Testing (Introduction): Selenium (brief overview)
  • 2. Build Tools:
    • 2.1. Maven: POM, Dependency Management, Build Lifecycle, Plugins
    • 2.2. Gradle (Introduction): Groovy/Kotlin DSL, Comparison with Maven
  • 3. Deployment and DevOps Concepts
    • 3.1. Web Servers & Application Servers: Tomcat, Jetty, JBoss (brief)
    • 3.2. Containerization (Docker): Images, Containers, Dockerfile, Docker Compose
    • 3.3. Cloud Platforms (Introduction): AWS / Azure / GCP (basic services), Deploying Spring Boot
    • 3.4. CI/CD: Pipelines, Jenkins, GitLab CI, GitHub Actions (conceptual)
  • 1. Security:
    • 1.1. Spring Security: Authentication/Authorization, `UserDetailsService`, `PasswordEncoder`, RBAC, OAuth2, JWT, CSRF, CORS
    • 1.2. Common Web Vulnerabilities: OWASP Top 10, Secure Coding Practices
  • 2. Design Patterns: Singleton, Factory, Builder, Observer, Strategy, MVC, DAO, DTO
  • 3. Message Queues (Introduction): Kafka, RabbitMQ
  • 4. Caching: Redis, EhCache (concepts)
  • 5. Logging: SLF4j, Logback, Log4j
  • 6. Monitoring and Observability (Introduction): Prometheus, Grafana, ELK Stack
  • 7. Soft Skills & Interview Preparation: Resume Building, Interview Etiquette, Mock Interviews, Problem-Solving, Communication
  • 1. Basic Static Website: HTML, CSS, JavaScript only
  • 2. To-Do List Application: HTML, CSS, JS, Spring Boot Backend with H2/MySQL database
  • 3. Blog/E-commerce Platform (Full Stack): React/Angular/Vue + Spring Boot + MySQL/PostgreSQL + Spring Security (User Auth, CRUD, Image Upload, Search, Pagination)
  • 4. Chat Application: Full Stack (potentially involving WebSockets with Spring Boot)
  • 5. Microservices-based Application: e.g., Order Processing System with multiple services
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