Modern Java using AI Coding Assistants
Certificate of Completion by Code.Hub
This hands-on course introduces Java programming fundamentals while integrating AI-assisted development practices throughout the learning journey. Participants build core Java skills, while leveraging AI as a pair programming tool for code generation, refactoring, review, and validation. The program emphasizes critical thinking, code quality, and responsible AI usage in modern software development workflows.
By the end of this module, participants will be able to:
- Develop structured Java applications using core language features, OOP principles, and modular project organization
- Use AI tools effectively for code generation, refactoring, debugging, and test creation
- Critically evaluate and verify AI-generated code for correctness, performance, and design quality
- Implement data persistence using file handling and JDBC-based database integration
- Apply testing, benchmarking, and code quality practices within an AI-assisted development workflow
Development Environment & AI-Assisted Coding
Java syntax
JVM
CLI projects
AI Practice: AI Pair programming intro, Verifying AI output
Git basics, commits, branches
Maven project structure & dependencies
AI Practice: AI-assisted Git/Maven setup
Java Language Fundamentals
Primitives
References
Loops
Conditionals
AI Practice: Using AI to generate alternative implementations, Code Clarity
Classes
Constructors
Access modifiers
Immutability
AI Practice: Using to generate domain model suggestions, Critique Design
Object-Oriented Programming
Inheritance
Interfaces
SOLID intro
Code smells
AI Practice: AI for code review, refactoring recommendations
Core Java APIs
Collections
Generics
Streams API
Functional style
AI Practice: Using AI to Convert loops -> streams, detect inefficiencies
Error Handling
Exception handling: checked/unchecked
Custom exceptions
AI Practice: Using AI to generate edge-case handling & validation
I/O & Serialization
File I/O
Manual JSON
Resource management
AI Practice: Using AI to optimize file ops, detect unsafe resource handling
Database Access with JDBC
JDBC basics
Connections
CRUD operations
AI Practice: Using AI to generate queries, DAOs, verify AI SQL suggestions
Testing Without Frameworks
Testing without frameworks
Assertions
Test harness
AI Practice: Using AI to generate unit tests, edge case coverage
Performance & Refactoring
Simple benchmarking
Big-O awareness
AI Practice: AI suggests algorithm improvements
Capstone Project
CLI system (domain + JDBC + I/O + tests)
AI Practice: Scaffold, generate tests, review code
- Roles: Software Engineers, Backend Developers, Java Developers
- Seniority: Junior Professionals
- Basic understanding of programming concepts
- No prior Java experience required (if positioned as foundation course)
Sessions can be delivered via the following formats:
- Live Online – Interactive virtual sessions via video conferencing
- On-Site – At your organization’s premises
- In-Person – At Code.Hub’s training center
- Hybrid – A combination of online and in-person sessions
Interested for
