Kickstart Java Programming Fundamentals

Become a Java Pro through Real, Hands-On Coding Experience.

Key Features

● Master Java through hands-on, real-world coding examples.
● Progress from core basics to AI-powered Java development.
● Build desktop, web, mobile, and intelligent Java applications.

Book Description

In today’s tech-driven world, applied Java programming with AI integration is a game-changer. Java remains a backbone of enterprise and application development—but its real power emerges when combined with hands-on skills and modern technologies like artificial intelligence.

Kickstart Java Programming Fundamentals offers a practical, real-world path to mastering Java—from basic syntax to building intelligent systems. Structured into three progressive sections, you'll begin with foundational topics such as variables, loops, OOP, and exception handling. Then, dive into core Java development with I/O operations, GUI programming, multithreading, and data structures. The final section guides you through advanced programming, including performance tuning, mobile and web development, design patterns, and incorporating AI techniques such as logic-based decision making and intelligent automation using Java.

Through examples, exercises, and a capstone project, this book empowers you to write robust, modern Java applications. Whether you're prepping for a job, certification, or real-world coding challenges—this is your complete roadmap to mastering Java with AI. Learn it. Apply it. Lead with it.

What you will learn

● Develop Java-based apps using object-oriented programming principles.
● Design interactive GUIs, multithreaded systems, and networked apps.
● Integrate relational databases and query them using JDBC & SQL.
● Apply design patterns and best practices for scalable development.
● Build intelligent apps by integrating AI concepts into Java projects.
● Gain job-ready experience through structured, project-based learning.

Who is this book for?

This book is tailored for students, aspiring developers, and professionals in computer science or software-related fields, especially where Java is a core subject. It is ideal for BCA, MCA, BTech, BE, and undergraduate learners or Java starters. No prior experience is required, just curiosity and a willingness to code.

1. Introduction to Java Programming
2. Variables, Data Types, Operators, and Control Structures
3. Object-Oriented Programming (OOP) Basics
4. Methods and Functions
5. File and Exception Handling
6. Input/Output Streams
7. GUI Programming
8. Concurrency and Mutli-Threading
9. Working with Collections and Data Structures
10. Networking in Java
11. Database Connectivity with JDBC
12. Java Performance Tuning and Optimization
13. Security, Testing, and Debugging
14. Exploring Popular Java Frameworks
15. Java for Web Development
16. Advanced Java Features
17. Mobile Development with Java
18. Design Patterns in Java
19. Using AI with Java Programming
20. Final Project and Next Steps
Index

Dr. Edward D Lavieri Jr. is a seasoned software developer and senior member of the Institute of Electrical and Electronic Engineers (IEEE). He holds a Doctor of Computer Science from Colorado Technical University, a Master of Science in Information Systems from Bowie State University, and additional Master of Science degrees from the University of Arkansas at Fayetteville and Capella University. His experience spans the military, the software industry, and academia.

He has a firm understanding of modern software systems, based on his diverse practical experience—from working with intelligence and communication systems in the U.S. Navy to leading a software design and development studio. His vast professional experience includes working on various software projects, including grants from the National Science Foundation (NSF) and the U.S. Department of Education.

ABOUT TECHNICAL REVIEWER

Abhinav Kumar Singh is a seasoned technology leader with over 12 years of experience architecting and engineering scalable, cloud-native applications using Java and modern DevOps practices. He has designed and managed large-scale distributed systems on Kubernetes, both on-premises and across major cloud platforms including AWS, Azure, and GCP. His expertise extends to optimizing infrastructure, enhancing developer productivity, and implementing cost-effective cloud solutions.