
Junior Software Developer Course
Launch your software development career with a comprehensive programme that takes you from writing your first line of code to shipping production-ready applications. You will master the tools, workflows, and engineering practices that real development teams use every day. This course builds the technical foundation employers actually look for in junior developers.
What you will learn:
You will learn core programming concepts, data structures, and object-oriented design before moving into databases, REST APIs, and software testing. The course covers Git-based team workflows, Docker containerisation, and CI/CD pipelines so you can contribute to professional codebases from day one. You will also gain practical exposure to web security, agile collaboration, and system design thinking. By the end, you will have a portfolio of real projects and the skills to succeed in your first developer role.
How you study in practice Junior Software Developer Course
How you practise Junior Software Developer Course
For companies looking to train their teams
With Dedika for Businesses, the course includes exercises and examples tailored to your own business and the specific needs of your company.
Course content
8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsProgramming Foundations and Developer Mindset
Programming Foundations and Developer Mindset
Lesson 1 • How Computers Execute Code
Covers binary representation, CPU instruction cycles, and memory hierarchy. Grounds all later coding concepts in hardware reality.
Lesson 2 • Debugging and Problem-Solving Strategies
Teaches systematic error diagnosis using print statements and a debugger. Develops the analytical habits required for all subsequent coding work.
Lesson 3 • Core Programming Concepts
Introduces variables, data types, operators, and control flow. These primitives underpin every program written in later chapters.
Lesson 4 • Setting Up a Development Environment
Installs and configures a code editor, runtime, and terminal. Establishes the toolchain used throughout the entire course.
Chapter 2HideHide detailsSee detailsVersion Control and Collaborative Workflows
Version Control and Collaborative Workflows
Lesson 1 • Git Fundamentals
Covers the working tree, staging area, and commit history model. Establishes the mental model required for every branching operation ahead.
Lesson 2 • Remote Repositories and Pull Requests
Pushes branches to a remote host and opens pull requests for review. Introduces the code review gate that governs all team contributions.
Lesson 3 • Team Workflow and Repository Hygiene
Establishes commit message conventions, branch naming, and protected-branch rules. Prepares students for contributing to real open-source and enterprise repos.
Lesson 4 • Branching and Merging Strategies
Creates feature branches, merges them, and resolves conflicts systematically. Mirrors the daily workflow used in professional development teams.
Chapter 3HideHide detailsSee detailsData Structures and Algorithmic Thinking
Data Structures and Algorithmic Thinking
Lesson 1 • Arrays and Linked Lists
Contrasts contiguous and pointer-based storage with real performance trade-offs. Provides the baseline for understanding all other structures.
Lesson 2 • Sorting and Searching Algorithms
Implements and benchmarks common sorting and search strategies. Builds intuition for algorithm selection based on data size and shape.
Lesson 3 • Stacks, Queues, and Hash Tables
Covers LIFO and FIFO abstractions plus hash-based key-value storage. These structures appear in parsers, schedulers, and caches throughout the course.
Lesson 4 • Recursion and Dynamic Programming
Solves problems by breaking them into overlapping subproblems with memoization. Extends algorithmic range beyond iterative solutions introduced earlier.
Lesson 5 • Trees and Graphs
Introduces hierarchical and network data models with traversal algorithms. Prepares students for database indexing and dependency resolution topics ahead.
Chapter 4HideHide detailsSee detailsObject-Oriented Programming in Practice
Object-Oriented Programming in Practice
Lesson 1 • SOLID Design Principles
Applies five OOP design rules to evaluate and refactor class designs. Provides the vocabulary used in code reviews in all remaining chapters.
Lesson 2 • Polymorphism and Duck Typing
Enables a single interface to operate on multiple types at runtime. Reduces coupling between components built throughout the chapter project.
Lesson 3 • Inheritance and Code Reuse
Models is-a relationships through class hierarchies to eliminate duplication. Connects directly to polymorphism covered in the next section.
Lesson 4 • Building a Multi-Class Project
Integrates all OOP concepts into a cohesive mini-application with multiple interacting classes. Validates design decisions through peer code review.
Lesson 5 • Classes, Objects, and Encapsulation
Defines classes as blueprints and objects as instances with private state. Establishes the encapsulation boundary that protects data integrity.
Chapter 5HideHide detailsSee detailsDatabases and Data Persistence
Databases and Data Persistence
Lesson 1 • Connecting a Database to an Application
Integrates a database driver and ORM into application code with connection pooling. Completes the persistence layer of the running project.
Lesson 2 • SQL Querying Essentials
Writes SELECT, INSERT, UPDATE, and DELETE statements with filtering and sorting. These queries form the data access layer of the chapter project.
Lesson 3 • Indexes, Transactions, and Constraints
Adds indexes for query performance and wraps mutations in ACID transactions. Ensures data integrity under concurrent access scenarios.
Lesson 4 • Relational Database Concepts
Explains tables, primary keys, foreign keys, and normalization up to third normal form. Provides the schema design vocabulary used throughout the chapter.
Lesson 5 • NoSQL and Document Stores
Contrasts document, key-value, and column-family models with relational databases. Guides students in choosing the right persistence model for a given workload.
Chapter 6HideHide detailsSee detailsWeb Development and REST APIs
Web Development and REST APIs
Lesson 1 • HTTP and the Web Request Cycle
Traces a browser request through DNS, TCP, and HTTP to a server response. Establishes the protocol knowledge required to design correct API endpoints.
Lesson 2 • Authentication and Authorization
Implements token-based authentication and role-based access control on API routes. Secures the project API before it is exposed to external consumers.
Lesson 3 • Input Validation and Error Handling
Validates request payloads with schemas and maps domain errors to HTTP codes. Prevents malformed data from corrupting the database layer.
Lesson 4 • API Documentation and Testing
Generates interactive API docs and writes automated endpoint tests. Ensures the API contract is verifiable and consumable by other developers.
Lesson 5 • Building a REST API
Implements resource-oriented routes, controllers, and response serialization. Applies database skills from the previous chapter to persist API data.
Chapter 7HideHide detailsSee detailsSoftware Testing and Quality Assurance
Software Testing and Quality Assurance
Lesson 1 • Testing Fundamentals and Test Pyramid
Defines the three testing layers and their cost-to-feedback trade-offs. Frames the testing strategy applied across all remaining sections.
Lesson 2 • Unit Testing with Mocks and Stubs
Isolates units under test by replacing dependencies with test doubles. Enables fast, deterministic tests for business logic written in earlier chapters.
Lesson 3 • Code Coverage and Continuous Quality
Measures coverage, enforces thresholds, and integrates tests into a CI pipeline. Connects testing practice to the deployment workflow introduced next.
Lesson 4 • Integration and Database Testing
Tests component interactions against a real or in-memory database. Validates that the ORM and query logic from the database chapter work correctly.
Lesson 5 • End-to-End and API Testing
Drives the full application stack through automated HTTP and browser tests. Catches integration failures invisible to unit tests.
Chapter 8HideHide detailsSee detailsDeployment, CI/CD, and Cloud Basics
Deployment, CI/CD, and Cloud Basics
Lesson 1 • Continuous Delivery and Deployment
Extends the CI pipeline to push verified artifacts to staging and production. Introduces deployment strategies that minimise downtime and risk.
Lesson 2 • Monitoring and Observability
Instruments the application with logs, metrics, and traces to detect production issues. Closes the feedback loop between deployment and code quality.
Lesson 3 • Containerisation with Docker
Packages an application and its dependencies into a portable container image. Eliminates environment inconsistencies encountered throughout earlier chapters.
Lesson 4 • Continuous Integration Pipelines
Configures automated lint, test, and build jobs triggered on every code push. Enforces the quality gates established in the testing chapter.
Lesson 5 • Cloud Infrastructure Fundamentals
Provisions compute, storage, and networking resources on a public cloud platform. Provides the infrastructure context for hosting the deployed application.
Your valid completion certificate
This course is for you:
Career changer: wants structured training to transition into a developer role.
Self-taught coder: has gaps in fundamentals and needs a cohesive learning path.
Recent graduate: studied an unrelated field and is pivoting toward software development.
IT support professional: ready to move from maintaining systems to building them.
Hobbyist programmer: builds small scripts but wants to work on real-world applications.
Marketing or data analyst: uses tools daily and wants to automate and build independently.
What our students say
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