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Clean Code Training

Live Online & Classroom Enterprise Training

Clean Code focuses on writing software that is easy to read, understand, maintain, and extend. This course introduces proven coding principles, best practices, and refactoring techniques to help developers produce high-quality, professional code.

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  • Lifetime Access

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  • Real-time code analysis and feedback

What is Clean Code Training about?

This course provides a practical understanding of clean coding standards, naming conventions, code structure, and design principles. Participants learn how to reduce technical debt, improve readability, and write maintainable code through real-world examples and best practices applicable across programming languages.

What are the objectives of Clean Code Training ?

  • Understand the principles of clean and maintainable code
  • Write readable and self-explanatory code
  • Apply best practices for naming, formatting, and structure
  • Identify and eliminate code smells
  • Improve code quality through refactoring techniques

Who is Clean Code Training for?

  • Software developers and programmers
  • Junior to mid-level engineers
  • Application maintenance teams
  • Technical leads and architects
  • Computer science students

What are the prerequisites for Clean Code Training?

Prerequisites:

  • Basic programming knowledge
  • Familiarity with any one programming language
  • Understanding of basic control structures
  • Exposure to functions and classes
  • Interest in improving code quality


Learning Path:

  • Programming Fundamentals
  • Object-Oriented Programming (OOP)
  • Clean Code Principles
  • Refactoring and Code Reviews
  • Design Patterns and Best Practices


Related Courses:

  • Object-Oriented Programming Concepts
  • Design Patterns Fundamentals
  • Refactoring Techniques
  • Software Development Best Practices

Available Training Modes

Live Online Training

4 Days

Course Outline Expand All

Expand All

  • Welcome to the Course
  • Clean Code – Key Pain Points & How To Write Clean Code
  • How Is This Course Structured?
  • Course Prerequisites
  • Clean Code & Strongly Typed Languages
  • About The Course Code Examples
  • Join Our Learning Community!
  • Functional, OOP, Procedural: The Course Concepts Always Apply!
  • Clean Code, Principles & Patterns & Clean Architecture
  • Clean Code vs Quick Code
  • Module & Course Resources
  • Module Introduction
  • Why Good Names Matter
  • Choosing Good Names
  • Casing Conventions & Programming Languages
  • Naming Variables & Properties – Theory
  • Naming Variables & Properties – Examples
  • Naming Functions & Methods – Theory
  • Naming Functions & Methods – Examples
  • Naming Classes – Theory
  • Naming Classes – Examples
  • Exceptions You Should Be Aware Of
  • Common Errors & Pitfalls
  • Module Introduction
  • Bad Comments
  • Good Comments
  • Vertical Formatting
  • Formatting: Language-specific Considerations
  • Horizontal Formatting
  • Module Introduction
  • Analyzing Key Function Parts
  • Keep The Number Of Parameters Low!
  • Refactoring Function Parameters – Ideas & Concepts
  • When One Parameter Is Just Right
  • Two Parameters & When To Refactor
  • Dealing With Too Many Values
  • Functions Should Be Small & Do One Thing!
  • When Should You Split?
  • Demo & Challenge
  • Stay DRY – Don’t Repeat Yourself
  • Splitting Functions To Stay DRY
  • Don’t Overdo It – Avoid Useless Extractions
  • Understanding & Avoiding (Unexpected) Side Effects
  • Side Effects – A Challenge
  • Why Unit Tests Matter & Help A Lot!
  • Module Introduction
  • Useful Concepts – An Overview
  • Introducing
  • Guards In Action
  • Extracting Control Structures & Preferring Positive Phrasing
  • Extracting Control Structures Into Functions
  • Writing Clean Functions With Control Structures
  • Inverting Conditional Logic
  • Embrace Errors & Error Handling
  • Creating More Error Guards
  • Extracting Validation Code
  • Error Handling Is One Thing!
  • Using Factory Functions & Polymorphism
  • Working with Default Parameters
  • Module Introduction
  • Important: This is NOT an OOP or
  • Objects vs Data Containers / Data Structures
  • Why The Differentiation Matters
  • Classes & Polymorphism
  • Classes Should Be Small!
  • Understanding
  • The SOLID Principles
  • The Single-Responsibility Principle (SRP) & Why It Matters
  • The Open-Closed Principle (OCP) & Why It Matters
  • The Liskov Substitution Principle
  • The Interface Segregation Principle
  • The Dependency Inversion Principle

Who is the instructor for this training?

The trainer for this Clean Code Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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