Kotlin : Advance Course

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Module 17 – Advanced Coroutines & Flow
  • Coroutine Lifecycle
  • Channels vs Flow
  • Backpressure Handling
  • Cancellation Mechanisms
  • Concurrency Patterns
Module 18 – Memory, JVM & Performance
  • JVM Memory Model
  • Stack vs Heap
  • Garbage Collection
  • Kotlin Performance Optimization Tips
  • Profiling Basics
Module 19 – Design Patterns in Kotlin
  • Singleton (Kotlin-Style Implementation)
  • Factory Pattern
  • Strategy Pattern
  • Observer Pattern
  • Avoiding Java Pattern Misuse in Kotlin
Module 20 – Architecture & Code Organization
  • Clean Architecture in Kotlin
  • Layered vs Feature-Based Design
  • Dependency Injection Concepts
  • Configuration-Driven Systems
Module 21 – Testing & Quality
  • Unit Testing with JUnit
  • Mocking with MockK
  • Parameterized Tests
  • Code Coverage
  • Quality Engineering Mindset
Module 22 – Security
  • Secure Coding Practices
  • Input Validation
  • Authentication Basics
  • Authorization Patterns
  • OWASP Overview
Module 23 – DevOps & Deployment
  • Building Kotlin/JVM Applications
  • Packaging and JAR Creation
  • Dockerizing Kotlin Applications
  • Environment Configuration Management
  • Logging
  • Monitoring
Course Detail

The Kotlin Advanced course is designed for experienced developers who want to master modern Kotlin development for large-scale, production-ready applications. This course focuses on advanced architecture patterns, performance optimization, concurrency, and clean system design using Kotlin.

Participants will explore advanced coroutine patterns, structured concurrency, Flow, and reactive programming concepts. The course dives deep into memory management, performance tuning, and writing highly efficient Kotlin code for both Android and backend environments.

Learners will implement clean architecture principles, SOLID design patterns, dependency injection (Hilt/Koin), and modular project structuring. For Android-focused paths, the course includes Jetpack components, Compose, advanced state management, offline-first architecture, and secure data handling. For backend-focused paths, it covers Ktor/Spring Boot with Kotlin, microservices architecture, REST APIs, authentication (JWT/OAuth2), caching, and distributed systems concepts.

The course also introduces testing strategies (unit testing, integration testing, mocking frameworks), CI/CD practices, Docker basics, monitoring, and deployment strategies.

By the end of this course, developers will be capable of architecting scalable Kotlin applications, optimizing performance-critical systems, implementing secure coding standards, and leading production-level development projects with confidence.

This course is ideal for senior Android developers, backend engineers, and professionals aiming for technical architect or lead developer roles.