Full Stack Web Development with AI Tools Training Course in Ahmedabad

Module 1: Web Development Fundamentals

• • How websites and web applications work.
• • Client, server, browser, domain, hosting, and HTTP concepts.
• • Setting up VS Code and browser developer tools.
• • Files, folders, terminal basics, and project structure.
• • Introduction to AI coding assistants and safe usage.
• • Understanding requirements and breaking problems into tasks.
• • Mini-project: create a personal profile webpage.

Module 2: HTML5 and Semantic Web Design

• • Document structure, headings, paragraphs, links, and lists.
• • Images, tables, audio, video, and embedded content.
• • Forms, labels, inputs, validation attributes, and buttons.
• • Semantic HTML and accessible page structure.
• • SEO-friendly headings, metadata, and page structure.
• • AI-assisted HTML generation and code review.
• • Mini-project: build a multi-page course or company website.

Module 3: CSS3 and Responsive Design

• • Selectors, cascade, specificity, and inheritance.
• • Box model, spacing, borders, typography, and colors.
• • Flexbox, CSS Grid, positioning, and layout.
• • Responsive design, media queries, and mobile-first principles.
• • Transitions, basic animations, and reusable styles.
• • Accessibility, contrast, and responsive testing.
• • Mini-project: create a responsive landing page and dashboard layout.

Module 4: JavaScript Programming Fundamentals

• • Variables, constants, data types, and operators.
• • Conditions, loops, and control flow.
• • Functions, parameters, return values, and scope.
• • Arrays, objects, strings, and common array methods.
• • DOM selection, event handling, and form interactions.
• • Error messages, debugging, and problem-solving exercises.
• • Mini-project: interactive calculator or student result application.

Module 5: Modern JavaScript and Browser APIs

• • ES modules, destructuring, spread syntax, and template literals.
• • Callbacks, promises, async/await, and error handling.
• • Fetch API and working with JSON.
• • Local storage and browser storage limitations.
• • JavaScript classes and object-oriented concepts.
• • npm, package management, and third-party libraries.
• • AI-assisted debugging and understanding unfamiliar code.
• • Mini-project: API-powered search application.

Module 6: Git, GitHub, and Professional Development Workflow

• • Version control and why teams use Git.
• • Repositories, commits, branches, and merge conflicts.
• • GitHub repositories, pull requests, and code reviews.
• • README files and project documentation.
• • Issue tracking and basic Agile workflow.
• • Using AI tools to explain code and review changes.
• • Practical assessment: publish a project and manage changes through Git.

Module 7: TypeScript Fundamentals

• • Type annotations and type inference.
• • Interfaces, type aliases, unions, and generics.
• • Arrays, objects, functions, and reusable types.
• • Type narrowing and handling nullable values.
• • Modules and TypeScript configuration.
• • Converting JavaScript components to TypeScript.

Module 8: React Fundamentals

• • React architecture and component-based development.
• • JSX, functional components, props, and state.
• • Event handling and conditional rendering.
• • Lists, keys, and reusable UI components.
• • Hooks: useState and useEffect.
• • Forms, controlled inputs, and basic validation.
• • AI-assisted component development with manual verification.

Module 9: React Application Development

• • Component composition and folder structure.
• • Routing and navigation with React Router.
• • Shared state and context fundamentals.
• • API integration, loading states, and error states.
• • Search, sorting, pagination, and filtering.
• • Reusable layouts, tables, dialogs, and notifications.
• • UI prototyping with AI-assisted design tools.

Module 10: Node.js and Backend Fundamentals

• • Backend development concepts and Node.js runtime.
• • npm packages, modules, and environment setup.
• • Asynchronous programming and event loop fundamentals.
• • File system, environment variables, and basic logging.
• • HTTP requests and responses.
• • Error handling and backend project structure.

Module 11: Express.js and REST API Development

• • Express application setup and middleware.
• • Routes, controllers, services, and request validation.
• • REST conventions and HTTP status codes.
• • CRUD APIs and consistent error responses.
• • API documentation and testing with Postman.
• • Pagination, filtering, and search endpoints.
• • AI-assisted API scaffolding and verification.
• • Mini-project: create a complete product or task management API.

Module 12: Authentication, Authorization, and Web Security

• • Registration, login, logout, and password hashing.
• • Sessions, cookies, and token-based authentication concepts.
• • JWT usage and token validation.
• • Role-based access control and protected routes.
• • Input validation, output encoding, and secure error handling.
• • CORS, XSS, injection risks, and common web vulnerabilities.
• • Secrets management, environment variables, and dependency hygiene.
• • Practical assessment: secure the application's authentication and authorization flows.

Module 13: PostgreSQL and Production Data Concepts

• • Relational modeling, tables, keys, and constraints.
• • SQL joins, aggregation, and transactions.
• • Integrating PostgreSQL with Node.js.
• • Data integrity and query performance fundamentals.
• • Choosing MongoDB or PostgreSQL for different use cases.
• • Introduction to database migrations and connection pooling.

Module 14: Full Stack Integration

• • Connecting React to backend APIs.
• • Managing API requests, responses, and loading states.
• • Authentication across frontend and backend.
• • Form submission, validation, and useful error messages.
• • File uploads and safe file handling.
• • Environment configuration and API URL management.

Module 15: AI-Assisted Development Workflows

• • Using ChatGPT, Claude, Cursor, and GitHub Copilot effectively.
• • Writing precise prompts for code generation and refactoring.
• • Generating components, API scaffolding, and documentation.
• • Using AI to explain errors and investigate unfamiliar code.
• • Creating unit tests and edge-case test scenarios with AI assistance.
• • Reviewing generated code for correctness, security, and maintainability.
• • Avoiding secret leakage, insecure suggestions, and unverified dependencies.
• • Assessment: complete a coding task using AI and explain every important change.

Module 16: Integrating AI Features into Web Applications

• • Calling an LLM API from a backend service.
• • Prompt templates, structured outputs, and response validation.
• • Building a summarization, classification, or content-assistance feature.
• • Keeping API keys on the server and protecting sensitive information.
• • Handling rate limits, timeouts, failures, and usage costs.
• • Adding human review where outputs affect important business actions.
• • Mini-project: integrate an AI-powered assistant into the full-stack application.

Module 17: Testing, Performance, and Code Quality

• • Unit, integration, and end-to-end testing concepts.
• • Testing React components and backend APIs.
• • Validating authentication, authorization, and input handling.
• • Debugging network requests and database errors.
• • Code formatting, linting, and reusable architecture.
• • Performance fundamentals, pagination, and efficient queries.
• • AI-assisted test generation and independent test verification.
• • Practical assessment: test and fix issues in an existing application.

Module 18: Deployment and Production Readiness

• • Frontend and backend build processes.
• • Deploying to a suitable cloud or application hosting platform.
• • Environment variables, domains, HTTPS, and configuration.
• • Database hosting, access controls, and backups.
• • Logging, monitoring, and basic troubleshooting.
• • CI/CD introduction and automated build/test workflows.
• • Production security checklist and deployment documentation.
• • Practical assessment: deploy the capstone to a test or staging environment.

Can I join this course without coding experience?

Yes. The course starts with HTML, CSS, and programming fundamentals before moving to frontend and backend development.

What is the difference between full stack development and MERN stack development?

Full stack development means building both the frontend and backend of an application. MERN is one particular full-stack combination: MongoDB, Express, React, and Node.js.

How are AI tools used in this course?

Students learn to use AI tools for code explanations, component generation, debugging, test creation, documentation, and selected application features. They must verify generated code rather than rely on it blindly.

Will I build a real project?

Yes. Students progressively build mini-projects and complete a capstone that combines a frontend, backend, database, authentication, testing, and deployment.

What jobs can I apply for after the course?

Depending on demonstrated skills and employer requirements, graduates can apply for junior full stack developer, frontend developer trainee, React developer trainee, Node.js developer trainee, and web application developer roles.