
Software Developer Course
Go from writing your first line of code to deploying production-ready applications. This course covers the full software development stack — front-end, back-end, databases, DevOps, and security. You'll build real projects, follow industry standards, and graduate with the skills employers actually hire for.
What you will learn:
You'll start with programming fundamentals and version control, then advance through object-oriented design, web development, and database management. You'll build and secure RESTful APIs, apply software architecture patterns, and automate deployments using CI/CD pipelines and containers. The course also covers testing strategies, Agile team workflows, data engineering basics, and security engineering. You'll finish by building a professional portfolio and preparing for technical interviews. Every topic is grounded in real-world tools and professional standards used in the industry today.
How you study in practice Software Developer Course
How you practice 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 way your company needs.
Course Content
8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Software Development
Foundations of Software Development
Lesson 1 • Setting Up a Development Environment
Installs and configures essential tools: code editor, terminal, and runtime. Ensures every student has a functional workspace before writing code.
Lesson 2 • Core Programming Concepts
Introduces variables, data types, control flow, and functions as universal building blocks. Provides the conceptual base for all language-specific work ahead.
Lesson 3 • How Software Development Works
Covers the role of a software developer, types of software, and industry expectations. Anchors all subsequent technical learning in professional context.
Lesson 4 • Reading and Writing Documentation
Trains students to read API docs, write inline comments, and produce README files. Documentation literacy accelerates learning throughout the course.
Lesson 5 • Version Control with Git
Teaches committing, branching, and merging using Git. Establishes collaborative and safe coding habits from day one.
Chapter 2HideHide detailsSee detailsProgramming Logic and Problem Solving
Programming Logic and Problem Solving
Lesson 1 • Computational Thinking Techniques
Introduces decomposition, pattern recognition, abstraction, and algorithmic design. These four pillars guide every coding decision made in later chapters.
Lesson 2 • Debugging and Error Handling
Covers reading error messages, using debuggers, and writing defensive code. Systematic debugging reduces time lost to unresolved issues in all future projects.
Lesson 3 • Algorithms and Complexity Basics
Teaches sorting, searching, and Big-O notation to evaluate algorithm performance. Students gain vocabulary to discuss and optimize code quality.
Lesson 4 • Working with Data Structures
Covers arrays, lists, stacks, queues, and hash maps with practical use cases. Choosing the right structure directly impacts code efficiency and readability.
Lesson 5 • Writing Clean and Readable Code
Applies naming conventions, formatting rules, and refactoring techniques to improve code quality. Clean code reduces bugs and eases team collaboration.
Chapter 3HideHide detailsSee detailsObject-Oriented Programming
Object-Oriented Programming
Lesson 1 • Object-Oriented Design Principles
Applies SOLID principles to evaluate and improve class designs. Students can critique and refactor object-oriented code to meet professional standards.
Lesson 2 • Polymorphism and Interfaces
Covers method overloading, runtime polymorphism, and interface contracts. These tools enable flexible, extensible system design.
Lesson 3 • Inheritance and Code Reuse
Demonstrates parent-child class relationships and method overriding. Inheritance reduces duplication and enforces consistent behavior across related types.
Lesson 4 • Classes and Objects
Defines classes as blueprints and objects as instances, with attributes and methods. This is the entry point to all object-oriented design patterns covered later.
Lesson 5 • Encapsulation and Access Control
Teaches public, private, and protected access levels and getter/setter patterns. Encapsulation protects data integrity across large codebases.
Chapter 4HideHide detailsSee detailsWeb Development Fundamentals
Web Development Fundamentals
Lesson 1 • Front-End Build Tools
Covers package managers, module bundlers, and task runners used in modern workflows. Build tools automate repetitive tasks and prepare code for production.
Lesson 2 • JavaScript in the Browser
Introduces DOM manipulation, event handling, and fetch API for dynamic pages. Connects programming logic from earlier chapters to visible user interactions.
Lesson 3 • Responsive and Accessible Design
Applies mobile-first design, color contrast, and keyboard navigation standards. Accessibility compliance expands the audience for every application built.
Lesson 4 • HTML Structure and Semantics
Covers document structure, semantic tags, forms, and accessibility attributes. Semantic HTML improves SEO and assistive-technology compatibility.
Lesson 5 • Styling with CSS
Teaches selectors, the box model, flexbox, and responsive design techniques. CSS skills directly determine the visual quality of every project built in this course.
Chapter 5HideHide detailsSee detailsDatabases and Data Management
Databases and Data Management
Lesson 1 • Database Performance and Indexing
Teaches query execution plans, index strategies, and normalization trade-offs. Performance tuning prevents bottlenecks as data volume grows.
Lesson 2 • Data Security and Compliance
Applies encryption at rest, access controls, and data retention policies to protect user data. Compliance with data protection principles is mandatory in production systems.
Lesson 3 • Advanced SQL Techniques
Covers joins, subqueries, window functions, and transactions for complex data needs. These skills unlock the full power of relational databases used in enterprise systems.
Lesson 4 • Data Migration and Versioning
Covers schema migration scripts, rollback strategies, and seed data management. Safe migrations prevent data loss during application updates.
Lesson 5 • NoSQL Databases and Use Cases
Explores document, key-value, and graph databases with appropriate use cases. Students select the right database type for a given application requirement.
Chapter 6HideHide detailsSee detailsBack-End Development and APIs
Back-End Development and APIs
Lesson 1 • Server-Side Programming Concepts
Explains request-response cycles, HTTP methods, and server architecture. Provides the conceptual foundation for all API and database work in this chapter.
Lesson 2 • Authentication and Authorization
Implements token-based authentication, password hashing, and role-based access. Secure auth is a non-negotiable requirement in every production application.
Lesson 3 • API Testing and Documentation
Uses API testing tools and automated test suites to validate endpoint behavior. Documented, tested APIs reduce integration errors for consuming teams.
Lesson 4 • Databases and Data Modeling
Covers relational and non-relational databases, schema design, and basic queries. Data modeling decisions made here affect application performance and scalability.
Lesson 5 • Building RESTful APIs
Teaches resource modeling, endpoint design, and JSON serialization for REST APIs. Students produce APIs that front-end clients and third-party tools can consume.
Chapter 7HideHide detailsSee detailsSoftware Architecture and Design Patterns
Software Architecture and Design Patterns
Lesson 1 • Common Design Patterns
Teaches creational, structural, and behavioral patterns with real implementation examples. Patterns provide a shared vocabulary for team communication and code review.
Lesson 2 • API Design and Integration Patterns
Covers GraphQL, webhooks, message queues, and API gateway patterns. Integration patterns determine how services communicate reliably at scale.
Lesson 3 • Architecture Decision Records
Teaches documenting architectural decisions with context, options, and rationale. ADRs create institutional memory and reduce repeated debates in growing teams.
Lesson 4 • Architectural Styles Overview
Compares monolithic, microservices, event-driven, and serverless architectures. Understanding trade-offs enables informed decisions for different project scales.
Lesson 5 • Scalability and Reliability Principles
Applies horizontal scaling, load balancing, caching layers, and fault tolerance strategies. These principles keep applications available under high traffic and failure conditions.
Chapter 8HideHide detailsSee detailsDevOps, Deployment, and Production Readiness
DevOps, Deployment, and Production Readiness
Lesson 1 • Continuous Integration and Delivery
Builds automated pipelines that run tests and deploy on every code push. CI/CD reduces manual errors and accelerates the feedback loop for development teams.
Lesson 2 • Containerization and Orchestration
Packages applications in containers and manages them with orchestration tools. Containers ensure consistent behavior across development, staging, and production.
Lesson 3 • Monitoring, Logging, and Alerting
Implements metrics dashboards, structured logging, and alert thresholds for production systems. Observability enables fast diagnosis and resolution of production incidents.
Lesson 4 • Security in Production Systems
Applies secrets management, dependency scanning, and network security controls. Production security prevents breaches that damage users and organizational reputation.
Lesson 5 • Cloud Infrastructure Fundamentals
Covers compute, storage, networking, and managed services on cloud platforms. Cloud literacy is required for deploying and maintaining modern applications.
Your valid completion certificate
This course is for you:
Career changer: wants structured training to break into software engineering professionally.
Marketing professional: builds internal tools and needs real development skills now.
Self-taught coder: has gaps in fundamentals and needs a comprehensive, organized curriculum.
Recent graduate: studied an unrelated field and is pivoting toward a tech career.
Entrepreneur: wants to build and maintain their own product without outsourcing development.
IT support specialist: ready to move from maintaining systems to actually building them.
What our students say
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