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Coding Course
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Coding Course

4.5

Learn to code from the ground up and build real, deployable applications using industry-standard tools and practices. This course takes you from setting up your first development environment all the way to writing tests, consuming APIs, and launching production-ready software. Every concept is grounded in hands-on coding so you build genuine skills, not just theory.

Dedika for students

What your team will master:

You will start with core programming concepts like variables, control flow, and functions, then advance to object-oriented design, data structures, and algorithms. You will learn how to read and write files, make HTTP requests to external APIs, and handle asynchronous code cleanly. The course covers professional practices including unit testing, test-driven development, version control with Git, and continuous integration. You will also explore databases, security fundamentals, and performance optimisation. By the end, you will have planned, built, and deployed a complete application from scratch.

How your team learns in practice Coding Course

How your team practises Coding Course

Professionals from these companies study at Dedika

ActemiumFR
Nunner LogisticsNL
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Sydel StarBR
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Aguas AndinasCL
DSMIN
MeridianbetRS
CDHCN

Course content

8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Programming Fundamentals and Environment Setup

  • Lesson 1 • How Computers Execute Code

    Explains the path from source code to machine instructions, covering compilers, interpreters, and runtimes. Grounds all later syntax study in a concrete execution model.

  • Lesson 2 • Control Flow Essentials

    Covers conditional statements and loops that direct programme execution. Students gain the ability to write programmes that make decisions and repeat actions.

  • Lesson 3 • Setting Up Your Development Environment

    Guides installation of a code editor, language runtime, and terminal tools. Ensures every student has an identical, reproducible workspace before writing any code.

  • Lesson 4 • Reading and Debugging Error Messages

    Teaches how to interpret syntax errors, runtime errors, and stack traces. Establishes a systematic debugging mindset from the very first day of coding.

  • Lesson 5 • Core Programming Concepts

    Introduces variables, data types, operators, and expressions as the atomic building blocks of any programme. Connects abstract concepts to concrete, runnable examples.

Chapter 2See details

Functions, Scope, and Code Organization

  • Lesson 1 • Scope and Variable Lifetime

    Explains local, global, and block scope and how the runtime resolves variable names. Prevents common bugs caused by unintended variable shadowing or leakage.

  • Lesson 2 • Defining and Calling Functions

    Covers function syntax, parameters, return values, and call mechanics. Establishes functions as the primary tool for encapsulating reusable logic.

  • Lesson 3 • Organising Code into Modules

    Demonstrates how to split code across files using import and export mechanisms. Prepares students for working in multi-file projects and open-source libraries.

  • Lesson 4 • Higher-Order Functions and Callbacks

    Introduces functions as first-class values that can be passed and returned. Enables functional programming patterns used throughout modern codebases.

Chapter 3See details

Data Structures: Arrays, Objects, and Collections

  • Lesson 1 • Nested Structures and JSON

    Handles deeply nested arrays and objects and serialises them to JSON format. Prepares students to consume and produce the data format used by most web APIs.

  • Lesson 2 • Arrays and Indexed Collections

    Covers array creation, indexing, mutation, and iteration. Arrays are the foundation for nearly every list-processing task in real applications.

  • Lesson 3 • Transforming and Filtering Collections

    Applies map, filter, reduce, and similar methods to process data declaratively. Builds the functional data-pipeline skills used in analytics and UI rendering.

  • Lesson 4 • Sets and Maps for Unique Data

    Introduces Set and Map structures for deduplication and keyed lookups. Expands the student's toolkit beyond arrays and plain objects.

  • Lesson 5 • Objects and Key-Value Stores

    Explains object literals, property access, and dynamic key manipulation. Objects model real-world entities and serve as the basis for JSON data exchange.

Chapter 4See details

Object-Oriented Programming Principles

  • Lesson 1 • Polymorphism and Interfaces

    Demonstrates how different classes can satisfy a common interface and be used interchangeably. Enables flexible, plug-in-style architectures.

  • Lesson 2 • Encapsulation and Access Control

    Covers public, private, and protected members and getter/setter patterns. Teaches students to hide implementation details and expose clean interfaces.

  • Lesson 3 • Composition Over Inheritance

    Contrasts deep inheritance hierarchies with mixin and composition patterns. Guides students towards designs that are easier to test and refactor.

  • Lesson 4 • Classes and Constructors

    Introduces class syntax, constructors, and instance creation. Provides the structural foundation for all object-oriented patterns covered in this chapter.

  • Lesson 5 • Inheritance and the Prototype Chain

    Explains class extension, method overriding, and prototype-based delegation. Enables code reuse across related classes without duplication.

Chapter 5See details

Algorithms and Problem-Solving Techniques

  • Lesson 1 • Problem Decomposition and Pseudocode

    Teaches breaking a problem into sub-problems and expressing solutions in plain language before coding. Reduces errors by separating thinking from syntax.

  • Lesson 2 • Big-O Complexity Analysis

    Introduces time and space complexity notation and teaches how to evaluate algorithm efficiency. Enables informed decisions when performance matters.

  • Lesson 3 • Searching Algorithms

    Covers linear search and binary search with complexity analysis. Students choose the right search strategy based on data size and sortedness.

  • Lesson 4 • Recursion and the Call Stack

    Explains recursive thinking, base cases, and how the call stack manages recursive calls. Unlocks tree traversal and divide-and-conquer patterns.

  • Lesson 5 • Sorting Algorithms

    Implements bubble, selection, insertion, merge, and quicksort and compares their performance. Builds intuition for algorithm design through hands-on coding.

Chapter 6See details

Working with Files, APIs, and Asynchronous Code

  • Lesson 1 • Callbacks, Promises, and Async/Await

    Traces the evolution from callback-based to promise-based to async/await asynchronous code. Students write clean, non-blocking logic without callback nesting.

  • Lesson 2 • Error Handling and Resilient Code

    Applies structured error handling, custom error types, and fallback strategies to I/O operations. Produces programmes that degrade gracefully under failure.

  • Lesson 3 • Reading and Writing Files

    Covers synchronous and asynchronous file I/O, path handling, and error management. Enables programmes to persist and retrieve data from the local filesystem.

  • Lesson 4 • Authentication and Secure API Access

    Covers API keys, token-based authentication, and safe credential storage. Prevents common security mistakes when integrating external services.

  • Lesson 5 • Making HTTP Requests to APIs

    Demonstrates GET, POST, PUT, and DELETE requests and response handling. Connects programmes to live data sources and third-party services.

Chapter 7See details

Testing, Debugging, and Code Quality

  • Lesson 1 • Test-Driven Development Workflow

    Applies the red-green-refactor cycle to drive feature implementation through tests. Produces cleaner interfaces because tests define expected behaviour first.

  • Lesson 2 • Unit Testing Fundamentals

    Introduces test structure, assertions, and test runners for verifying individual functions. Builds the habit of writing tests alongside production code.

  • Lesson 3 • Mocking, Stubs, and Test Isolation

    Replaces external dependencies with controlled fakes to isolate the unit under test. Enables fast, deterministic tests that do not require network or database access.

  • Lesson 4 • Code Quality and Static Analysis

    Applies linters, formatters, and type checkers to enforce consistent style and catch bugs statically. Reduces review friction and prevents entire classes of runtime errors.

  • Lesson 5 • Integration and End-to-End Testing

    Tests interactions between components and full user workflows from input to output. Catches defects that unit tests miss by exercising real system boundaries.

Chapter 8See details

Building and Deploying Real Applications

  • Lesson 1 • Continuous Integration and Deployment

    Automates testing and deployment pipelines so every code push is validated and released safely. Reduces manual steps and human error in the release process.

  • Lesson 2 • Monitoring and Post-Launch Maintenance

    Implements logging, error tracking, and performance monitoring for live applications. Ensures issues are detected and resolved before users are significantly impacted.

  • Lesson 3 • Project Architecture and Planning

    Covers requirements gathering, folder structure design, and technology selection. Prevents costly rework by establishing clear architecture before writing code.

  • Lesson 4 • Build Tools and Dependency Management

    Configures package managers, bundlers, and build scripts to automate repetitive tasks. Produces optimised, production-ready output from development source files.

  • Lesson 5 • Version Control with Git

    Applies branching, committing, merging, and pull request workflows to manage code changes. Enables safe collaboration and a full history of every decision.

Certification

Your valid completion certificate

This course is for you:

  • Career changers: ready to pivot into a software development role professionally.

  • Marketing professionals: wanting to automate reports and understand developer teammates better.

  • Entrepreneurs: aiming to prototype their own app ideas without hiring a developer.

  • Recent graduates: seeking practical coding skills to strengthen their job applications.

  • Hobbyists: curious about how software works and eager to build personal projects.

  • IT support staff: looking to move from troubleshooting systems into writing actual code.

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