Core Java Course in Pune with Placement

Set up JDK 21+ on your machine, write your first program, and learn how the JVM actually executes Java — bytecode, class loading, garbage collection at a high level. Cover primitive vs reference types, control flow, methods, arrays, and exception handling. By the end of this module you'll be comfortable reading any Java codebase's basic flow and writing 100-line programs without lookup.

The types Java programs actually spend their time on. Strings get proper treatment — immutability and why it exists, the string pool, `equals` against `==` (the interview question that eliminates more candidates than any other), and `StringBuilder` for the loops where concatenation quietly becomes quadratic.

Wrapper classes and autoboxing follow, including the caching behaviour that makes `Integer` comparison with `==` work for small numbers and fail for large ones — a bug that survives code review because it passes the test data. Enums are taught as full types with fields, constructors and methods, not as named constants, because that is what makes them worth using.

The four pillars — encapsulation, inheritance, polymorphism, abstraction — taught with real refactoring exercises, not toy Animal/Dog examples. Build a small banking domain (Account, Customer, Transaction) and refactor it through three design iterations. Cover access modifiers, the records keyword (Java 16+), sealed classes (Java 17+), and how interfaces with default methods replaced abstract-class hierarchies in modern code.

The design half of object orientation, where most learners' understanding stops being syntax and starts being judgement. Abstract classes against interfaces, and the honest rule for choosing: an abstract class models what something *is*, an interface models what it *can do*. Default and static methods in interfaces, and why they were added.

Nested, inner, static-nested, local and anonymous classes are covered because you will meet all five in real codebases, and because the difference between a static nested class and an inner class — one holds a reference to the enclosing instance, one does not — is a genuine source of memory leaks. Functional interfaces close the module and set up lambdas.

Move from writing small programs to organising real Java code. Learn packages, imports, access control across packages, JAR structure, and the discipline of separating model, service and utility classes. Then go deep on exception handling — checked vs unchecked exceptions, custom exceptions, try-with-resources and meaningful error messages. File handling covers java.io and java.nio, text files, CSV-style data, serialization awareness, and safe resource management so your programs can read, write and recover cleanly.

Two everyday jobs that Java made genuinely pleasant only recently. The `java.time` API replaced a legacy design so error-prone that its replacement is one of the strongest arguments for keeping a codebase current: `LocalDate`, `LocalDateTime`, `Instant`, `Duration`, `Period`, time zones and formatting, all immutable and thread-safe.

Regular expressions cover pattern syntax, groups, quantifiers, greedy versus lazy matching, and the `Pattern` and `Matcher` API — plus the discipline of knowing when a regex is the wrong tool, which is more often than enthusiasts admit. You build a text-processing utility that parses, validates and reformats real input.

The shift from writing loops to describing transformations, and the foundation the Stream API is built on. Lambda syntax and the type inference behind it; method references in all four forms; and the built-in functional interfaces — `Function`, `Predicate`, `Consumer`, `Supplier`, `BiFunction` and the primitive specialisations that exist to avoid boxing in hot code.

Effectively-final capture is covered carefully, because it is the source of the compiler error every learner hits and few can explain. The module closes on composing functions with `andThen` and `compose`, and writing your own functional interface when the built-in set does not fit.

The Collections Framework — List, Set, Map, Queue, Deque — with practical guidance on which to choose for which use case. Generics in depth (bounded wildcards, type erasure). Stream API for declarative data processing — filter, map, reduce, collect — and how it interacts with parallel streams. Sequenced collections (Java 21) for proper ordering guarantees on Set and Map. We finish the module by re-implementing a small subset of Collections from scratch so you understand the cost trade-offs.

Threads, ExecutorService, synchronisation, the volatile and atomic primitives, and the modern alternative — virtual threads (Java 21). We teach when classic threads are right (CPU-bound parallel work) versus when virtual threads are right (I/O-bound services handling thousands of concurrent requests). Includes the structured concurrency API (preview in Java 21, stable in Java 25) which is the recommended pattern for new code.

What the JVM is doing while your program runs, and why it matters in interviews and in production. The runtime memory areas — heap, stack, metaspace — and what lives where; object lifecycle and reachability; and generational collection with the young and old generations and why most objects die young.

The collectors are compared as engineering choices rather than trivia: G1 as the default, ZGC and Shenandoah for low-pause requirements, and what each trades away. Memory leaks in a garbage-collected language get their own section, because they absolutely happen — static collections that grow, listeners never removed, inner classes holding an enclosing reference — and finding one is a genuine skill.

Connect Core Java programs to relational databases using JDBC. Learn the driver model, Connection, Statement, PreparedStatement, ResultSet, transactions, commit / rollback, and connection-pool awareness. The goal is not to hide SQL behind a framework; it is to understand how Java talks to a database before you ever touch Hibernate or Spring Data. You will build a small DAO layer for a student or inventory database and practise the SQL queries that Pune junior Java interviews commonly test.

How frameworks do what they appear to do by magic. Annotations — built-in, custom, retention policies and targets — then reflection: inspecting classes at runtime, reading annotations, and instantiating objects dynamically. Once you have written a tiny dependency-injection container of your own, Spring stops being mysterious, and that is the point of this module.

Modern Java closes it: records for data carriers, sealed classes for closed hierarchies, pattern matching for `instanceof` and `switch`, text blocks, and `var`. These are the features a 2026 interview panel expects you to have used, and the ones that make current Java read very differently from Java 8.

Use Java to solve the patterns that appear in fresher and junior-developer screening rounds. This is not random LeetCode grinding. We connect data-structure theory to Java implementation: arrays, strings, lists, stacks, queues, hash maps, sets, recursion, sorting, searching and basic tree traversal. Each problem is reviewed for time complexity, space complexity, edge cases, naming and testability. By the end of the module, students can explain not only the answer but why the chosen collection or algorithm is appropriate.

The working practices that separate someone who writes Java from someone employable as a Java developer. Debugging as a method — breakpoints, conditional breakpoints, watches, stepping, evaluating expressions live, and reading a stack trace properly instead of pasting it into a search engine.

JUnit 5 covers test structure, assertions, parameterised tests and lifecycle; Mockito covers mocking collaborators without pretending it is a substitute for design. Maven and Gradle are then taught as what they are — dependency management, the build lifecycle, and reproducible builds — because "it works on my machine" stops being acceptable the moment you join a team.

The habits that make your work reviewable, and your portfolio credible. Git as collaboration rather than as three memorised commands: branching, merging, rebasing, resolving conflicts calmly, pull requests and review etiquette, and a commit history a stranger can follow.

Professional practice covers Java naming and code conventions, package structure, Javadoc worth writing, static analysis with SonarLint or SpotBugs, and the readability habits that get code approved rather than sent back. You finish with a public repository containing a README that explains how to build and run the project — which is the artefact a Pune hiring panel actually opens.

Bring the Core Java syllabus together in a reviewed capstone project. Pick a student management system, inventory and billing application, banking transaction simulator, library management system or file-backed utility. The trainer reviews class design, package structure, exception handling, collections usage, JDBC layer, test cases and README quality. Interview preparation covers Core Java viva questions, coding rounds, OOP design explanations, collection internals, multithreading basics, JDBC questions, resume cleanup and GitHub portfolio polish.