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Generative AI Skills for Java & Spring Developers
Course
Generative AI Skills for Java & Spring Developers
Build AI-powered apps with Java and Spring. In 3 weeks, learn to generate text, images, and smart recommendations, and stand out as the developer everyone wants on their team.
Flexible Schedule
Intermediate Level
Mentor Support
Estimated Time
3 weeks
Youll begin by setting up your Java development environment and exploring the fundamentals of AI. Further, youll build hands-on experience using tools and techniques such as Deeplearning4j and Spring AI in practical projects that employ powerful Java AI libraries. Youll 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!
This course comprises three purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 3 weeks. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
After completing this course, you will be able to:
- Explain AI concepts and set up a Java dev environment optimized for developing AI-powered applications with Java.
- Build AI application features using Java and implement neural networks using Deeplearning4j for NLP, image recognition, and recommendation tasks.
- Design and integrate AI service layers, RESTful APIs, and components into Spring applications using best practices.
- Test, debug, deploy, and manage Spring AI apps with proper configuration, logging, and error handling strategies.
- Java and Spring developers wanting to add generative AI features to their apps.
- Software engineers exploring AI integration without leaving the Java ecosystem.
- Developers interested in building AI-powered text, image, or recommendation systems.
- 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.
Course Outline
Video: Course Introduction (3:39)
Reading: General Information
Reading: Learning Objectives and Syllabus
Reading: Grading Scheme
Reading: How to Make the Most of This Course
Reading: Module Introduction and Learning Objectives
Video: Understanding AI Concepts in Java (6:51)
Video: Setting Up Your Java Environment for AI Development (6:51)
Lab: Environment Setup for AI Development in Java
Video: Developing AI Algorithm in Java (5:19)
Lab: Basic Prediction Model
Reading: Java Libraries for AI
Video: Natural Language Processing with Java (6:13)
Lab: Sentiment Analysis for Product Reviews
Video: Image Recognition Basics in Java (6:17)
Reading: Popular Libraries for Image Recognition
Lab: Product Image Recognition
Reading: Working with Deeplearning4j
Practice Quiz: AI Fundamentals with Java
Module 1 Summary: AI Fundamentals with Java
Reading: Glossary: AI Fundamentals with Java
Reading: Cheat Sheet: AI Fundamentals with Java
Graded Quiz: AI Fundamentals with Java (7 Questions)
Reading: Module Introduction and Learning Objectives
Video: Introduction to Spring AI Framework (7:24)
Reading: Spring AI Architecture and Components
Video: Setting Up Your First Spring AI Project (7:13)
Lab: Spring AI Service Layer - Customer Support Chatbot
Video: AI Service Layer with Spring (6:12)
Video: Implementing AI APIs with Spring Part 1 (6:02)
Video: Implementing AI APIs with Spring Part 2 (4:54)
Lab: Building a Recommendation System with Spring AI
Video: Testing and Debugging Spring AI Applications
Lab: Support Response Template AI Text Generator
Practice Quiz: Spring AI Integration
Module 2 Summary: Spring AI Integration
Reading: Glossary: Spring AI Integration
Reading: Cheat Sheet: Spring AI Integration
Graded Quiz: Spring AI Integration (7 Questions)
Reading: Module Introduction and Learning Objectives
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: Generative AI Skills for Java & Spring Developers (10 Questions)
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
This course teaches developers how to integrate artificial intelligence into applications using Java and the Spring Framework. It covers AI fundamentals, Deeplearning4j, and Spring AI through practical, project-driven labs. By the end, learners will have hands-on experience building intelligent apps for text, image, and recommendation use cases.
This course is designed for developers with a foundational knowledge of Java and Spring who want to expand into AI development. Its ideal for anyone looking to transition from a Java developer to generative AI projects without switching to another programming language.
Yes, this is a project-driven program. Youll complete labs in Java AI fundamentals, natural language processing, image recognition, recommendation systems, and finish with a final project integrating both Java and Spring AI.
Youll develop expertise in using Deeplearning4j for AI in Java, implementing AI APIs with Spring, performing sentiment analysis, image recognition, and building recommendation systems. These are highly practical skills aligned with the demand for generative AI for Java developers.
The course provides structured Spring AI training for developers, focusing on service-layer integration, API implementation, debugging, and deploying AI-powered features. Youll learn to build and test AI-powered services inside Spring applications.
A basic understanding of AI concepts is helpful, but not mandatory. The course begins with AI fundamentals in Java before progressing to more advanced implementations with Spring.
Deeplearning4j is a key Java library youll use for building and training AI models. The course introduces how it supports deep learning with Java, powering tasks like product image recognition and predictive modeling.
Yes, one of the labs focuses on sentiment analysis for product reviews, giving you practical NLP skills in Java that can be extended to customer service and engagement applications.
Yes, the course includes a dedicated lab on building a recommendation system with Spring AI, showing you how to integrate intelligent suggestions into enterprise applications.
The final project brings together everything youve learnedfirst building a Java AI implementation, and then integrating it into the Spring AI framework. This ensures you finish with an end-to-end applied example.
Yes, completing the course earns you an IBM Certificate, validating your skills in applying AI to Java and Spring development.
Type of certificate
IBM Certificate
About this course
03 Modules
04 Skills
Includes
Discussion space
09 Hands-on labs
02 Practice quizzes
02 Graded quizzes
01 Final exam
01 Final project
Create
Environment Setup for AI Development in Java
Basic Prediction Model
Recommendation System with Spring AI
Exercises to explore
Sentiment Analysis for Product Reviews
Product Image Recognition
Spring AI Service Layer - Customer Support Chatbot
Support Response Template AI Text Generator
This course has been created by
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