Become a Java Full-Stack Developer with AI Expertise

    Course Syllabus

    Common Foundation
    • Fundamentals of programming
    • Logic building – simple, compound, branch, and iterative logic
    • Data structures – linear and non‑linear, searching and sorting
    • Analysis of algorithm – recursive and non‑recursive
    • Introduction to full‑stack development
    • Software development life cycle (SDLC)
    • Agile & Scrum basics
    • Version control – Git, GitHub
    • Basics of cloud & deployment
    • Introduction to AI‑assisted development (GitHub Copilot, ChatGPT)
    Core Java Fundamentals
    • Introduction to Java
    • Compiling and execution
    • Data types, variables, expressions, and type conversion
    • Control‑flow statements
    • Arrays, functions & strings
    • Debugging using an IDE
    • OOP
    • Exception handling
    • File handling
    • Date‑time API
    • Maven basics
    • AI tools: AI‑driven debugging & testing (DeepCode)
    Advanced Java
    • Multithreading

    • Lambda expressions

    • Stream API

    • Generics & collections

    • Design patterns

    • AI tools: AI driven debugging & testing (CodiumAI)

    Database Technology
    • .Basic SQL queries – DDL, DML, DCL, TCL, DQL
    • Entity relationship modeling
    • Normalization
    • Joins and sub queries
    • Views
    • PL/SQL
    • Functions
    • Stored procedures
    • Triggers
    • JDBC
    • AI tools: SQLGPT, AI2SQL
    Testing Tools
    • Introduction to JUnit

    • Creating test cases

    • AI tools: CodiumAI, JUnitBot

       

    Frontend Development
    • HTML5: elements, attributes, images, lists, tables, links, forms, media, iframes, audio, video
    • CSS3: selectors, backgrounds, typography, grid, flexbox, transitions, animations, box shadows, positions, floats
    • Responsive design (Bootstrap)
    • JavaScript (ES6+): variables, objects, control flow statements, DOM, events, EventListener, Fetch API
    • Frontend AI tools: Figma AI, DeepCode
    Bootstrap &JQuery
    •  Introduction to Bootstrap and setup
    •  Grid, containers, typography, box shadows, tables
    • Badges, pagination, carousel, glyphicon
    •  jQuery notations and DOM elements
    • Bootstrap & jQuery AI tools: Tabnine, Testim
    Backend Framework
    • Introduction to servlet, JSP, and ORM
    • JDBC limitations and need for Hibernate, Hibernate API, and query
    •  Hibernate CRUD operations and mapping annotations
    • Collection and association mapping
    •  Spring framework architecture, container, and beans
    •  Inversion of control/dependency injection
    • Spring AOP, property file reading, Spring JDBC
    • Spring MVC including JSTL, annotations, CRUD example
    •  REST APIs and service annotations
    • AI tools: GitHub Copilot, Swagger AI
    Live Projects
    • Capstone project
    • Overview of client projects and their architecture
    • Full-stack application development
    • Integrating with backend via REST APIs
    • Implementing CRUD endpoints
    • CI/CD integration
    • Testing
    • Deployment
    • Code review & performance optimization
    Job Preparation
    •  Resume & portfolio building
    • Mock interviews & coding challenges
    • Soft-skills & communication training

    Full‑stack e‑commerce application

    Blog or content‑management platform

    Real‑time chat application

    Portfolio website

    Online Job Portal

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