• Format — 3,100+ free MCQs with instant explanations after every wrong answer.
• Duration — about 34.8 hours of focused practice; most learners finish over 6–10 weeks at 60–90 minutes a day.
• Level — beginner to comfortable. No prior Java required; basic programming familiarity (variables, functions, loops) helps.
• Cost — free, with a free completion certificate.
• Audience — engineering students prepping placements, devs from other languages picking up Java for a backend or Android role, bootcamp graduates, self-taught programmers transitioning into formal Java work.
• Adjacent courses — Python and C++ Fundamentals for learners comparing languages or doubling up on language depth.

Four audiences specifically. First, engineering students preparing for campus and off-campus placements — Java is still the lingua franca of Indian product-company interviews, and most placement DSA rounds are in Java or C++. Second, working developers from Python, JavaScript, or .NET who are switching into Java for a backend, Android, or Spring Boot role and need the language model in their head before they can be productive. Third, MERN-stack or bootcamp graduates whose first formal Java exposure is a job offer that just landed. Fourth, self-taught programmers who can write working Java but want to close the gap on the rules and idioms they have been guessing at — equals and hashCode contracts, checked vs unchecked exceptions, when an interface beats an abstract class.

This course does not assume Java experience. If you have written one or two Hello-World-level programs in any language and know what a variable, function, and loop are, you can start at Topic 1. If you have never programmed before, work through a beginner programming primer first and come back.

Foundations — the language core

• Getting Started with Java — Java platform concepts (JDK vs JRE vs JVM), program anatomy, the compile-to-bytecode and run-on-JVM pipeline.
• Variables and Data Types — primitive types (int, long, double, char, boolean) vs reference types, variables and literals, type conversion rules (widening, narrowing, casting, autoboxing).
• Operators and Expressions — arithmetic and assignment, comparison and logical, bitwise operators, and the operator precedence table you stop guessing at.
• Control Flow — if/else, classic and arrow-form switch, all loop variants (for, while, do-while, enhanced for), and break/continue with labelled loops.
• Methods — method declaration and overloading, parameter-passing semantics (value for primitives, reference-value for objects), recursion patterns and base-case discipline.

Object-oriented core — modelling code in Java

• Arrays and Strings — single and multi-dimensional arrays, String immutability and the pool, StringBuilder and StringBuffer (when each is right).
• Object Oriented Programming Basics — classes and objects, constructor chaining, encapsulation with getters and setters that earn their keep, static members and the this keyword.
• Enums — enum basics, enums with methods and abstract bodies, common patterns (state machine, strategy, singleton-by-enum).
• Inheritance and Polymorphism — inheritance rules, method overriding and dynamic dispatch, polymorphism in practice, and the Object-class methods you actually need to implement: equals, hashCode, toString.
• Interfaces and Abstract Classes — abstract classes, interfaces with default and static methods, sealed types and modern interface features, the abstract-vs-interface decision and the diamond problem.
• Packages and Modifiers — package organisation, the four access modifiers (public, protected, default, private) and when each is right, and where final is load-bearing.

Reliability and practice — code that survives prod

• Exception Handling — try/catch/finally, try-with-resources, the checked vs unchecked hierarchy, throwing and re-throwing exceptions, designing custom exceptions.
• Java Fundamentals in Practice — core comparisons (String vs StringBuilder, ArrayList vs array, abstract class vs interface), when-to-use-what decisions, and reading Java in real code.

Two of the most-asked language-choice questions for placement-prep candidates, and questions this course gives you a real answer to. Java vs Python: Python is faster to start (no types, no compile step) but Java forces you to learn the type system, OOP, and the compile/runtime separation up front — which is exactly what most product-company interviewers expect you to know. If your placement target uses Java DSA rounds, start here; if you are doing data science or scripting, Python is the better entry point.

Java vs C++: C++ is more powerful but harder — manual memory management, pointer semantics, and more footguns. Java is C++ with the dangerous parts removed (no pointers, garbage collection, no multiple class inheritance). If you have already done C++ Fundamentals, this course will feel familiar at the syntax level but covers a different set of idioms (interfaces, equals/hashCode, checked exceptions) you will not have met in C++.

Active recall on real code, not passive reading. Most people who say they have "learned Java" have watched a 40-hour video course and built a Hello World plus a calculator — then in an interview they cannot say what equals contract is, why String comparison with == sometimes works and sometimes does not, or when a switch fall-through bites. That is a recognition gap, not an understanding gap. MCQ-based retrieval practice closes it because every question forces you to produce the answer, not just nod along.

Spacing matters too. Java has a lot of rules (overloading vs overriding, checked vs unchecked, primitive vs reference equality, package-private vs protected) and they only stick after you have seen each one rephrased four or five times. The 3,100+ questions in this course are spread across the 13 topics so every concept comes back in different framings before the certificate is in reach.

One question at a time. You read a snippet (often a 5–15 line Java class or method), pick the option that matches what the snippet prints, returns, or throws, and submit. Wrong answers trigger an explanation that walks through the actual rule — overload resolution, dispatch order, exception propagation, equals/hashCode contract, whatever the trap was. Right answers move on fast.

The Abekus AI guide watches which topics you keep getting wrong and surfaces them more often. If you nail OOP basics but keep missing exception-hierarchy questions, the next session leans exception-heavy. The certificate at the end is gated on completing every top-level topic, not on a single end-of-course exam, so the depth signal is honest.

Plan on about 34.8 hours of focused practice. The math: 3,132 active questions × ~40 seconds per question (reading the snippet, picking an answer, skimming the explanation when wrong) = ~2,088 minutes = ~34.8 hours.

Most learners spread that across 6–10 weeks at 60–90 minutes a day. Some compress it into a month over a placement break; that works but retention is weaker than spacing it out. Trust the spacing — Java has enough small rules (overloading vs overriding, primitive vs autoboxed equality, when finally runs even if you return, what try-with-resources actually closes) that they only stick after the same trap has been rephrased multiple times.

Java Fundamentals is the entry point for several Java courses on Abekus: Java Collections (lists, sets, maps, the equals/hashCode contract in practice), Java Streams & Functional Programming, Java Concurrency & Multithreading, Java JVM & Performance, Java OOP & Design Patterns, and Java Interview Mastery. Those are not yet publicly listed; once they ship, this course is the recommended prerequisite for each.

For learners doubling up on languages, the Python and C++ Fundamentals courses on Abekus are useful adjacents — Python for scripting and interview breadth, C++ for the systems-and-pointers depth Java deliberately abstracts away. Most placement candidates who finish Java Fundamentals also work through a DSA practice track in Java before sitting interviews.