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Generative AI Skills for Java & Spring Developers

Premium
IntermediateCourse

This hands-on, project-driven course gives you the skills to bring artificial intelligence (AI) to life using Java and the Spring Framework. In just 3 weeks, you’ll learn how to build intelligent apps that create text, images, or recommendations quickly and become the go-to developer employers are looking for.To start, you’ll set up your Java development environment and dive into the core principles of AI. You’ll then move straight to building hands-on experience using tools and techniques such as Deeplearning4j and Spring AI in practical projects.

Language

  • English

Topic

  • Artificial Intelligence

Industries

  • Computer Science: Software Development

Skills You Will Learn

  • Software Development, Java, Spring, Artificial Intelligence (AI), Java Development

Offered By

  • SkillUpEdTech

Estimated Effort

  • 3 weeks

Platform

  • SkillsNetwork

Last Update

  • December 9, 2025
About this Course
You’ll begin by setting up your Java development environment and exploring the fundamentals of AI. Further, you’ll build hands-on experience using tools and techniques such as Deeplearning4j and Spring AI in practical projects that employ powerful Java AI libraries. You’ll also learn to integrate your AI skills with Spring, leveraging its robust architecture to build smart applications.  
 
Designed for developers with a basic understanding of Java and Spring, this course is suitable for anyone looking to enter the AI space without switching ecosystems or learning a new language. 
 
Ready to build the highly sought-after GenAI skills employers are actively seeking in just 3 weeks? Enroll now! 

Course Outline
This course consists of three modules.

Course Syllabus 

Module 0: Welcome
  • Video: Course Introduction 
  • Reading: General Information 
  • Reading: Learning Objectives and Syllabus 
  • Reading: Grading Scheme 
  • Reading: How to Make the Most of This Course 
 
Module 1: AI Fundamentals with Java 
  • Reading: Module Introduction and Learning Objectives 
  • Video: Understanding AI Concepts in Java  
  • Video: Setting Up Your Java Environment for AI Development  
  • Lab: Environment Setup for AI Development in Java  
  • Video: Developing AI Algorithm in Java 
  • Lab: Basic Prediction Model 
  • Reading: Java Libraries for AI  
  • Video: Natural Language Processing with Java  
  • Lab: Sentiment Analysis for Product Reviews 
  • Video: Image Recognition Basics in Java  
  • Reading: Popular Libraries for Image Recognition  
  • Lab: Product Image Recognition 
  • Reading: Working with Deeplearning4j  
  • Module 1 Practice Quiz: AI Fundamentals with Java 
  • Reading: Module 1 Summary: AI Fundamentals with Java 
  • Reading: Glossary: AI Fundamentals with Java 
  • Reading: Cheat Sheet: AI Fundamentals with Java 
  • Module 1 Graded Quiz: AI Fundamentals with Java 
 
Module 2: Spring AI Integration 
  • Reading: Module Introduction and Learning Objectives 
  • Video: Introduction to Spring AI Framework  
  • Reading: Spring AI Architecture and Components  
  • Video: Setting Up Your First Spring AI Project  
  • Lab: Spring AI Service Layer: Customer Support Chatbot 
  • Video: AI Service Layer with Spring  
  • Video: Implementing AI APIs with Spring Part 1 
  • Video: Implementing AI APIs with Spring Part 2 
  • Lab: Building a Recommendation System with Spring AI  
  • Video: Testing and Debugging Spring AI Applications  
  • Lab: Support Response Template AI Text Generator 
  • Module 2: Practice Quiz: Spring AI Integration 
  • Reading: Module 2 Summary: Spring AI Integration 
  • Reading: Glossary: Spring AI Integration 
  • Reading: Cheat Sheet: Spring AI Integration 
  • Module 2 Graded Quiz: Spring AI Integration 
 
Module 3: Final Project and Assessment 
  • Reading: Final Project Overview  
  • Lab: Final Project: Part A: Java AI Implementation 
  • Lab: Final Project: Part B: Spring AI Framework Implementation 
  • Final Project Submission 
  • Final Exam 
 
Module 4: Course Wrap-up 
  • Reading: Module Introduction and Learning Objectives 
  • Video: Course Wrap-Up  
  • Reading: Congratulations and Next Steps 
  • Reading: Team and Acknowledgments 
  • Reading: Copyrights and Trademarks 
 
Course Rating and Feedback 
  • Reading: Course Rating and Feedback 

Recommended Background 
This course is designed for developers with a foundational understanding of Java and Spring. You should be familiar with core Java concepts such as variables, control flow, and object-oriented programming. A basic understanding of AI concepts is also recommended. 

Instructors

SkillUp

Instructor

JPS Kohli CEO SkillUp

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Ramanujam Srinivasan

Chief Architect

With over 24 years of experience, I have effectively led technology and architecture teams, driving digital transformation and business growth for Fortune 500 companies. My expertise includes managing strategic consulting engagements and implementing large-scale solutions that have achieved annual contract values between $10M and $300M, particularly in turnaround scenarios. As an engineering leader, I guide cross-functional teams in deploying distributed solutions across various domains, including Cloud, AI/ML, eCommerce, Microservices, DevSecOps, legacy modernization, performance optimization, Generative AI, and Machine Learning. I prioritize building exceptional technology teams by mentoring and inspiring top technical talent, fostering a culture of rapid innovation and collaboration. I serve as a trusted advisor, nurturing long-term relationships with C-Level executives and stakeholders to drive the implementation of strategic technology initiatives. My approach combines a big-picture perspective with attention to detail, providing hands-on guidance for creating highly scalable and efficient solutions. I assist in developing minimum viable products (MVPs), evaluating products, enabling developers, and advocating for open-source technologies. As an innovation catalyst, I lead the ideation and Go-to-Market strategies for intellectual property solutions that leverage cloud services, data analytics, and AI/ML to provide strategic advantages to enterprise customers. Additionally, I have authored successful technology courses on Coursera covering topics such as Microsoft security, front-end and back-end development, DevOps, and Generative AI, positively impacting over 70,000 learners.

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