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Programming Languages & Software Development

Java Programming Course: OOP, DSA and Backend

EG

EduGlobal Masterclass

1-on-1 Remote Mentorship

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For
Class 9 - Graduate
Level
Beginner to Advanced
Duration
30 weeks
Each week
4 hours
Batch
Small group, up to 8
Mode
Online
Mentor
Edu Global Institute faculty

This Java programming course teaches the version students will actually meet: Java 25 LTS, released on 16 September 2025 with eighteen JDK Enhancement Proposals. It runs from first principles through data structures to a deployed backend service.

Why an LTS release matters for teaching

Java ships a new version every six months, but only Long-Term Support releases get years of support — and those are the versions universities and employers standardise on. Teaching the newest release would mean teaching something a student's first workplace has not adopted.

Java 25 is also a natural teaching target because two long-running language projects finished in it: pattern matching is complete, now including primitive types, and virtual threads became the default model. Both simplify what has to be taught.

Stage 1: the language and genuine OOP

Java is where object-oriented design is best learned, because the language makes the structure explicit rather than optional.

The emphasis is on design that survives change: interfaces as contracts, composition preferred over inheritance with the cases where inheritance is genuinely right, records for data carriers, and sealed types for closed hierarchies. Students learn why a deep inheritance tree is usually a mistake — by being given one to modify.

Generics come with type erasure taught honestly, including what erasure prevents, since this is a recurring source of confusion that a clear explanation removes permanently.

Collections are taught by cost. ArrayList against LinkedList, HashMap against TreeMap — each with its complexity guarantee, and each chosen by access pattern. Alongside it, equals and hashCode as a correctness problem, with a demonstration of exactly what breaks in a HashMap when they are wrong.

Stage 2: data structures and algorithms

Every structure is implemented by hand before the library version is permitted. A student who has written a hash table understands collision handling and load factor as real constraints rather than vocabulary.

Then the techniques: recursion, two pointers, sliding window, binary search on an answer, greedy reasoning with a proof, dynamic programming built from states and transitions, and graph algorithms including shortest paths and union-find.

Modern Java arrives here too — lambdas, streams and Optional, taught with judgement about when a stream is clearer than a loop and when it is merely fashionable. Pattern matching, completed in Java 25, replaces a great deal of older defensive code.

Concurrency, much simpler than it used to be

Concurrency is where Java teaching has aged worst, because the right answer changed.

Students start with threads and the memory model, enough to understand why shared mutable state is dangerous. Then virtual threads, the default model in Java 25. Because blocking IO is no longer expensive, most of the reason teams adopted reactive and callback-heavy styles has gone.

The practical consequence is that students learn the straightforward blocking style — which is also now the performant one — and meet structured concurrency for managing related tasks. This is substantially easier to teach correctly than the reactive patterns it displaces, and it is what new Java code should look like.

Stage 3: backend engineering

The final stage builds a service: layered architecture with dependency injection, a Spring Boot REST API with validation, error handling and OpenAPI documentation.

Persistence is treated as an engineering problem rather than an annotation exercise — relational modelling, SQL and indexes, JPA together with its costs, transactions and isolation levels, and migrations kept in version control.

Then operation: containers, externalised configuration and secrets, caching, logging and metrics, and reading a profile to locate the actual bottleneck rather than the suspected one.

What you build

The capstone is a tested, documented, containerised REST service backed by a real database — plus a short written note on its limits and how it would scale.

That note is assessed. A student who can state where their own service would fail under load is showing the judgement that distinguishes an engineer from someone who has completed a tutorial.

Who this suits

Students from Class 9 upward, and undergraduates aiming at backend, enterprise or Android development. Java is also a reasonable first language: the compiler catches mistakes that would otherwise ship, at the cost of more ceremony before the first working program.

Classes are online in small groups of up to eight. Students who already program in another language can skip the opening weeks after a short diagnostic.

What students will be able to do

  • Write clear object-oriented Java using interfaces, composition, records and sealed types
  • Use the collections framework by complexity guarantee rather than by habit
  • Implement core data structures and algorithms and analyse their cost
  • Handle errors and resources correctly with try-with-resources and a sane exception policy
  • Write tests with JUnit and reason about what a test actually proves
  • Use pattern matching, including over primitive types, as completed in Java 25
  • Write concurrent code with virtual threads, now the default model, and structured concurrency
  • Build, test and document a REST service with Spring Boot and a real database

Course structure

  1. Stage 1 - The language
    The JVM, compilation and the classpath. Types, control flow, methods, arrays and strings. Why Java is statically typed and what that buys you.
  2. Object-oriented design that holds up
    Classes and objects, encapsulation, interfaces, polymorphism. Composition over inheritance, with the cases where inheritance is correct. Records for data, sealed types for closed hierarchies.
  3. Generics and the type system
    Generic classes and methods, bounded types, wildcards, and type erasure - including what erasure prevents you from doing.
  4. Collections, by cost
    ArrayList, LinkedList, HashMap, TreeMap, HashSet, ArrayDeque and PriorityQueue, each with its complexity guarantee. Equals and hashCode done correctly, and what breaks when they are not.
  5. Errors, resources and tests
    Checked versus unchecked exceptions and a policy you can defend. try-with-resources. JUnit, assertions that constrain behaviour, and mocking only where it earns its place.
  6. Stage 2 - Data structures and algorithms
    Implementing lists, stacks, queues, heaps, hash tables and trees from scratch, then mapping them onto the collections framework. Sorting and searching, and why Java sorts the way it does.
  7. Algorithmic technique
    Recursion, two pointers, sliding window, binary search on an answer, greedy with proof, dynamic programming, and graph algorithms including shortest paths and union-find.
  8. Modern Java
    Lambdas, method references, the Stream API and Optional used well rather than everywhere. Text blocks, switch expressions, and pattern matching including record patterns and primitive types as completed in Java 25.
  9. Concurrency on Java 25
    Threads and the memory model, then virtual threads, which became the default model in Java 25 LTS. Structured concurrency, and why blocking IO stopped being expensive.
  10. Stage 3 - Backend engineering
    Build tooling with Maven or Gradle. Layered architecture and dependency injection. A Spring Boot REST service with validation, error handling and OpenAPI documentation.
  11. Data and persistence
    Relational modelling, SQL and indexes, JPA and its costs, transactions and isolation, and migrations as code.
  12. Running it
    Containers, configuration and secrets, caching, logging and metrics, and reading a profile to find the real bottleneck.
  13. Capstone
    A tested, documented, containerised REST service backed by a real database, with a written note on its limits.

Who this is for

No prior programming needed. Students who know another language can skip the first three weeks after a diagnostic.

Students join this programme from India, United States, United Kingdom, United Arab Emirates, Singapore, Canada and Australia.

Common questions

Why Java 25 specifically?

Because it is the current Long-Term Support release, published on 16 September 2025 with 18 JDK Enhancement Proposals. LTS matters for teaching: it is the version students will actually meet in industry and university, and it will be supported for years rather than superseded in six months.

What changed with virtual threads?

In Java 25 LTS virtual threads became the default model. Blocking IO stopped being expensive, which removes most of the reason teams previously adopted complicated reactive or callback-based styles. Students learn the straightforward blocking style first, which is now also the performant one.

Is Java a reasonable first language?

It is a good one, with a real trade-off. Static typing and explicit structure mean the compiler catches mistakes a beginner would otherwise ship, and the error messages teach. The cost is more ceremony before the first working program than Python requires. For a student who wants backend or Android work, that cost is repaid quickly.

How much Spring Boot is covered?

Enough to build and ship a real service: layering, dependency injection, a REST API with validation and error handling, OpenAPI documentation, JPA persistence with transactions, and migrations. Not every Spring module - the goal is a service you understand end to end rather than a tour of the ecosystem.

Does the DSA stage overlap the Python course?

The algorithms are the same, as they are in any language. The difference is idiom: Java students implement against interfaces, meet equals and hashCode as a correctness problem, and learn the collections framework guarantees. Taking both is not useful; pick the language you intend to work in.

End of Syllabus. Apply for Admission

Book a trial

Three sessions with the mentor who would teach the full course. Nothing is charged until your slot is confirmed.

Fee on enquiry
Language, DSA and backend stages · We quote after the diagnostic, so you pay for the plan your child needs
INR 599 from, by class
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  • A diagnostic, a taught class and written feedback
  • Taught by the mentor who leads the course
  • You pick the slot from our live calendar
  • Pay only after the slot is confirmed
For
Class 9 - Graduate
Level
Beginner to Advanced
Duration
30 weeks
Each week
4 hours
Batch
Small group, up to 8
Mode
Online
Mentor
Edu Global Institute faculty
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Tell us about the student and we will reply with an honest view of whether this programme fits. If you would like to see the teaching first, add a trial class.

  • No obligation - send the enquiry without booking anything
  • Three sessions if you do book: a diagnostic, a taught class and feedback
  • Taught by the mentor who would lead the full course
  • You choose the slots from our calendar after payment
Trial fee by class, if you book
Class 1 to 5 3 sessions INR 599
Class 6 to 8 3 sessions INR 799
Class 9 and 10 3 sessions INR 899
Class 11 and 12 3 sessions INR 999
Graduation and above 4 sessions INR 1,099

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