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Full Stack Java with AI Integration

Who this course is for

  1. Beginners & Students: Those who want to start a career in web development with no prior experience. College students looking to build strong programming foundations with Java.
  2. Aspiring Full Stack Developers: Developers who want to learn both frontend & backend technologies using Java. Those who want to master Spring Boot, Hibernate, REST APIs, and microservices.
  3. Working Professionals & Career Changers: Software engineers looking to shift to full-stack development. IT professionals who want to upgrade their skills for better career growth.
  4. Entrepreneurs & Freelancers: Business owners who want to build their own web applications. Freelancers looking to expand their skillset and increase job opportunities.

Why take this course

  • Java is used by top companies like Google, Amazon, Netflix, and Uber. Full Stack Java Developers are among the highest-paid professionals in the IT industry. Opens up opportunities in Enterprise Software, Cloud Computing, and AI-based applications.
  • This course covers everything you need to build complete web applications including AI, ML, Data Science, and Data Analytics to prepare you for modern, data-driven applications.

Course Content

Module 1: Front-End Web Development
  • HTML5
  • CSS3
  • JavaScript
  • Front-End Frameworks (React.js, Angular, Vue.js)
Module 2: Java for Back-End Development
  • Java Basics
  • Spring Framework (Spring Boot, Spring MVC)
  • RESTful API Development with Spring
Module 3: Databases and Back-End Integration
  • SQL with Java (JDBC)
  • ORM with Hibernate
  • NoSQL with Java (MongoDB)
Module 4: Web APIs and RESTful Services
Module 5: User Authentication and Authorization
Module 6: Front-End and Back-End Communication
  • AJAX and Fetch API
  • WebSockets
Module 7: Testing and Debugging
  • Unit Testing in JUnit
  • Front-End Testing
  • End-to-End Testing
Module 8: Deployment and Cloud Services
  • Web Application Deployment
  • Docker
  • CI/CD
Module 9: Project Development and Real-World Applications
  • Blogging Platform
  • E-Commerce Website
  • Social Media Application
  • Real-Time Chat Application
Module 10: Advanced Topics
  • Microservices Architecture with Spring Cloud
  • GraphQL
  • Machine Learning Integration