What will you learn in Mastering Kotlin Essentials Course
Understand Kotlin’s core syntax and null-safe type system to write concise, expressive code
Work with variables, values, and basic types, plus control structures:
if/when, loops, and exception handling
Define and use classes, interfaces, inheritance, and sealed/data/enum/annotation classes for robust domain modeling
Leverage object expressions, declarations, and extension functions to extend existing APIs without inheritance
Program Overview
Module 1: Variables, Values & Types
⏳ 30 minutes
Topics:
valvs.var, primitive and nullable types, type inferenceHands-on: Declare and use variables safely, handle nullable operations with
?.and?:
Module 2: Control Flow & Null Safety
⏳ 45 minutes
Topics:
ifexpressions,whenstatements, loops (for,while), null-checksHands-on: Write control-flow logic for a simple calculator and safely navigate nullable data
Module 3: Classes, Interfaces & Inheritance
⏳ 1 hour
Topics: Primary/secondary constructors, inheritance modifiers, interfaces, abstract classes
Hands-on: Model a vehicle hierarchy with shared behavior and polymorphic dispatch
Module 4: Advanced Class Types & Objects
⏳ 1 hour
Topics: Data classes, sealed classes, enum classes, annotation classes, object declarations
Hands-on: Create a sealed class hierarchy for API responses and use data classes for DTOs
Module 5: Functions & Extension Functions
⏳ 45 minutes
Topics: Top-level functions, default and named parameters, extension functions, higher-order functions
Hands-on: Write utility extensions for
StringandCollectionto streamline common tasks
Module 6: Collections & Generics
⏳ 1 hour
Topics: List/Set/Map APIs, lambdas,
map/filter/reduce, variance, and generic functions/classesHands-on: Process a list of user objects to filter, transform, and aggregate data
Module 7: Operator Overloading & DSLs
⏳ 30 minutes
Topics: Overloading arithmetic, comparison, and invocation operators; building Kotlin DSLs
Hands-on: Define a mini-DSL for HTML generation or mathematical expressions
Module 8: Exception Handling & Advanced Topics
⏳ 30 minutes
Topics:
try/catch/finally, custom exceptions, inline functions,reifiedtype parametersHands-on: Implement and handle custom error types in a file-processing utility
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Job Outlook
Android Developer: $80,000–$120,000/year — leverage Kotlin for native Android applications on JVM
Backend Engineer (Kotlin): $85,000–$130,000/year — build server-side applications using Kotlin/Java frameworks
Full-Stack Developer: $90,000–$140,000/year — apply multiplatform Kotlin for web, desktop, and mobile applications
Kotlin’s rising adoption in Android, server, and multiplatform projects makes these skills highly sought after.
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Specification: Mastering Kotlin Essentials Course
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FAQs
- Strong programming background recommended but not mandatory.
- Introduces graph representations: adjacency lists and matrices.
- Teaches BFS, DFS, shortest paths, MSTs, and network flow algorithms.
- Includes practical coding exercises to reinforce concepts.
- Provides step-by-step guidance for implementing graph algorithms in real-world scenarios.
- Apply algorithms to recommendation engines and social networks.
- Implement shortest path solutions for logistics and route planning.
- Use graph coloring for scheduling and resource allocation problems.
- Detect strongly connected components for network analysis.
- Build capstone projects combining multiple algorithms for end-to-end solutions.
- Max-flow and min-cut algorithms (Ford-Fulkerson, Edmonds-Karp).
- Bipartite matching using flow reduction techniques.
- Strongly Connected Components (Kosaraju’s/Tarjan’s algorithms).
- Graph coloring strategies for optimization problems.
- Planarity checks and graph embeddings for complex networks.
- Learn scalable graph-processing techniques applicable to software and AI pipelines.
- Build portfolio-ready projects demonstrating algorithm mastery.
- Prepare for technical interviews with graph and network problems.
- Gain skills relevant for backend, ML, and network analytics roles.
- Strengthen problem-solving for high-performance computing and social platform applications.
- Hands-on exercises for BFS, DFS, shortest paths, and MSTs.
- Solve flow problems and implement bipartite matching algorithms.
- Detect SCCs and apply graph coloring in practice.
- Prototype recommendation and shortest-route engines.
- Capstone project combines all skills to build a full-featured graph-analysis tool.
