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Learn Java in the Age of AI

Learn Java step-by-step with AI as your Copilot. Build real-world projects, practice prompting, and finish with portfolio-ready real-world apps.

4.6
17 Lessons
3h
Updated 1 month ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
  • The ability to leverage AI as a study partner for learning Java
  • A solid foundation in procedural Java programming with real-world examples
  • The ability to approach and solve problems using a coding and computational mindset
  • The ability to identify and debug errors through structured coding practices
  • Hands-on experience building multiple Java projects, culminating in a portfolio-ready capstone project
Why choose this course?

Learn Java Coding with AI

1. Write prompts → generate Java code instantly. 2. Run and verify in the built-in AI code editor. 3. AI Mentor reviews and nudges you toward clean solutions.

Start Writing Java Like a Developer

1. Think like a developer from day one. 2. Learn Java syntax through puzzles and small wins. 3. Build confidence step by step with real coding practice.

Understand the Building Blocks of Java

1. Variables: Store and reuse data 2. Loops: Repeat tasks with ease 3. Methods: Organize your logic 4. If/else: Make smart decisions in code 5. Arrays and HashMaps: Handle collections of data

Learn Coding and Debugging with AI Mentor

1. Practice debugging real code errors. 2. Review your own and AI-generated code. 3. Test your work with AI guidance and pass checklists. 4. Build everyday developer habits through hands-on projects.

Learning Roadmap

17 Lessons

1.

Getting Started

Getting Started

Learn to write your first Java program and use AI as your coding assistant, gaining confidence in prompting and basic syntax.

2.

Variables, Data Types, and Input

Variables, Data Types, and Input

Explore Java variables, strings, numbers, and operators. Practice input with Scanner and use print statements for clear program output.

3.

Logic with If/Else

Logic with If/Else

3 Lessons

3 Lessons

Master decision-making in Java with if/else and nested conditions. Learn to create your own methods and guide AI in refining logic.

4.

Loops and Repetition

Loops and Repetition

2 Lessons

2 Lessons

Use while loops for trackers and for loops with arrays. Automate repetition and build projects that effectively practice iteration.

5.

Data Structures

Data Structures

3 Lessons

3 Lessons

Work with arrays, HashMaps, and nested structures to organize and manage data. Practice real-world categorization tasks in Java.

6.

Capstone Project: Budget Tracker

Capstone Project: Budget Tracker

4 Lessons

4 Lessons

Design and build a Budget Tracker app with AI. Add error handling, refine code, and finish with a professional portfolio project.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Author NameLearn Java in theAge of AI
Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
ABOUT THIS COURSE
This course is about learning how to code in the age of AI. It balances the conceptual clarity beginner coders need with AI’s ability to solve computing problems like Java professionals. The approach is AI-enabled, hands-on, and project-based. You’ll start with print statements and variables, then move through decisions, loops, and data structures. Each step is anchored by real-world projects like a receipt generator, smartwatch step tracker, or meal planner. You’ll practice prompting AI to generate, refine, and debug code, building syntax knowledge and modern coding workflows. The course culminates in a capstone budget tracker app where you’ll gather client requirements, implement features, and add error handling. You’ll then refactor the app into professional-grade code. With guided lessons, interactive AI support, and six complete projects, you’ll finish with practical skills and a portfolio to showcase to the tech world.

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ML Engineer

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