Web Developer Masters Course Program Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

An immersive, master-level program that equips aspiring developers with the full spectrum of skills to build, test, and deploy professional web applications. This structured, project-driven curriculum spans over 14 weeks of hands-on learning, combining foundational web technologies with advanced frameworks, back-end development, databases, DevOps, testing, and a capstone project. Learners will spend approximately 120–150 hours mastering modern full-stack development with real-world labs and production-grade deployment practices.

Module 1: Foundations of Web Development

Estimated time: 20 hours

  • HTML5 semantics and document structure
  • CSS3 selectors, box model, and styling fundamentals
  • Responsive design principles using media queries
  • Modern layout techniques: Flexbox and Grid
  • Building a responsive landing page with navigation and image galleries

Module 2: Advanced JavaScript & Tooling

Estimated time: 20 hours

  • ES6+ syntax: arrow functions, destructuring, and modules
  • Asynchronous JavaScript: Promises, async/await
  • Working with NPM and Yarn package managers
  • Data fetching from public APIs using fetch
  • Module bundling with Webpack

Module 3: Front-End Frameworks

Estimated time: 30 hours

  • React fundamentals: JSX, components, hooks, and context
  • Angular basics: components, services, and dependency injection
  • State management in single-page applications
  • Client-side routing with React Router and Angular Router
  • Implementing user authentication in SPAs

Module 4: Back-End Development

Estimated time: 20 hours

  • Node.js and Express.js app structure
  • Middlewares, routing, and error handling
  • Designing RESTful APIs
  • Implementing CRUD operations
  • Securing APIs with JWT-based authentication

Module 5: Databases & Persistence

Estimated time: 15 hours

  • MongoDB with Mongoose ODM
  • MySQL with Sequelize ORM
  • Schema design and data modeling
  • Indexing, queries, and pagination
  • Database migrations and version control

Module 6: DevOps & Deployment

Estimated time: 15 hours

  • Docker containerization with Dockerfile and Docker Compose
  • CI/CD pipelines using GitHub Actions or Terraform
  • Cloud deployment on AWS, Azure, or GCP
  • Automating builds, tests, and deployments
  • Deploying full-stack apps to AWS Elastic Beanstalk

Module 7: Testing & Quality Assurance

Estimated time: 15 hours

  • Unit and integration testing with Jest and Mocha
  • Testing React components using React Testing Library
  • API testing with Supertest
  • Code quality enforcement using ESLint and Prettier
  • Writing test coverage for frontend and backend code

Module 8: Capstone Project – Production-Ready Web App

Estimated time: 45 hours

  • Designing end-to-end application architecture
  • Implementing monitoring with Prometheus and Grafana
  • Setting up logging using ELK stack
  • Performance optimization and tuning
  • Deploying a collaborative project (e.g., task manager or e-commerce prototype)

Prerequisites

  • Familiarity with basic programming concepts
  • Basic understanding of command-line interface
  • Access to a computer with internet and code editor installed

What You'll Be Able to Do After

  • Build responsive, semantic web pages using HTML5, CSS3, and modern layouts
  • Create dynamic client-side experiences with JavaScript and ES6+ features
  • Develop full-featured single-page applications using React and Angular
  • Design and implement RESTful APIs with Node.js and Express
  • Deploy production-ready web applications using DevOps practices and cloud platforms
View Full Course Review

Course AI Assistant Beta

Hi! I can help you find the perfect online course. Ask me something like “best Python course for beginners” or “compare data science courses”.