About Java Full Stack With AI

Java Full Stack with AI combines the strength of end-to-end Java development with the intelligence of Artificial Intelligence. This course covers both frontend and backend technologies like Core Java, Spring Boot, HTML, CSS, JavaScript, and React, while integrating AI tools and APIs to build intelligent and scalable web applications. Ideal for full stack development across web, mobile, and enterprise solutions, the course is led by industry experts with hands-on project experience. It offers a powerful blend of traditional development, modern frameworks, and AI capabilities to help learners build smart applications. Students will gain practical experience in building full stack applications with features like intelligent automation, recommendation systems, and data-driven interfaces.

Java Full Stack With AI Course Objectives

You will be expertise and eligible for:

  • Gain strong knowledge of Core Java, Object-Oriented Programming, and full stack development.
  • Build intelligent, end-to-end applications for web and enterprise platforms using frontend and backend technologies.
  • Master advanced Java concepts like Multithreading, Collections, Exception Handling, and Spring Boot.
  • Learn to integrate AI tools, libraries, and APIs into full stack applications for smarter solutions.
  • Understand how to connect frontend frameworks like React or Angular with Java-based backend and databases.
  • Develop AI-powered features such as recommendation engines, chatbots, and automation tools within full stack environments.

Pre-Requisites

This course can be learned by any IT professional or development enthusiast having basic knowledge of:

  • Computer fundamentals and logical thinking
  • Basic programming knowledge (Java, C, or C++) – not mandatory but helpful

Duration of the Course

  • "L" understands the challenges such as time constraints, security concerns, and travel limitations faced by students, professionals, and international learners.
  • Duration of 45 sessions.
  • 1 hour per session.
  • Soft copy of class material will be provided after each session.
  • Recorded sessions will be available for revision and later access.