Software Developer with AI · WB Specialised Diploma · 8 Months
Software Developer with AI — 8 Months | 150+ Modules | Full Stack + AI | Apply Now →React, Node.js, Python, GitHub Copilot, Docker, AWS | Live Projects | Placement Support | Apply Now →Software Developer with AI — 8 Months | 150+ Modules | Full Stack + AI | Apply Now →
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🎓 WB Specialised Diploma Beginner to Pro 3 hrs/day Live Projects

Software Developer
with AI

The most comprehensive full-stack development program at White Banger — 150+ modules across 8 months. From HTML5 basics to React, Node.js, Python backends, MongoDB, AI-powered coding with GitHub Copilot, Docker deployment, and 3 real-world capstone projects.

⏱8 Months Duration
🚀150+ Modules, 3 hrs/day
💻Instructors: Dinesh, Tushar
🚀3 Live Projects + Portfolio
📅 Next batch: 1 July 2026·⚡ Limited seats — register early
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About This Course

The Diploma in Software Development with AI is White Banger Academy's flagship full-stack development program. Designed for complete beginners and re-skilling professionals alike, it takes you from zero to job-ready in 8 months — covering every layer of modern web development plus AI-assisted programming.

You'll study 3 hours a day across 9 structured modules — from web fundamentals and JavaScript to React, backend engineering with Node.js and Python, databases (SQL + MongoDB), AI tools like GitHub Copilot and OpenAI APIs, Docker deployment, automated testing, and three enterprise-scale live projects with real clients.

🚀150+ modules — one of the most comprehensive programs in Kaithal
🤖AI-assisted coding — GitHub Copilot, Cursor IDE, OpenAI API
📋3 capstone live projects — Task Manager, E-commerce, AI App
💼Internship application support and placement assistance
🎉Portfolio on GitHub with live deployment links
💻Mock technical interviews + LeetCode-style challenges

Course Curriculum

9 modules across 8 months. Each module has live coding sessions, assignments, and mini-projects. Delivery: 3 hrs/day classroom + self-paced practice.

  • HTML5: semantic elements, forms, tables, media, canvas, accessibility (ARIA)
  • CSS3: selectors, box model, flexbox, CSS Grid, transitions, animations, media queries, CSS variables
  • Responsive design: mobile-first approach, viewport meta tag
  • Git: init, commit, branch, merge, rebase, remote repositories, GitHub workflow, pull requests
  • Mini-project: Build a responsive portfolio website and push to GitHub
  • JS fundamentals: variables (let/const/var), data types, operators, control flow, functions, scope, closures, hoisting
  • ES6+: arrow functions, template literals, destructuring, spread/rest, modules, optional chaining, nullish coalescing
  • DOM manipulation: selectors, events, event delegation, form validation, localStorage/sessionStorage
  • Asynchronous JS: callbacks, Promises, async/await, Fetch API, AJAX, error handling
  • Mini-project: Interactive weather app consuming a public REST API
  • React fundamentals: JSX, functional components, props, state, event handling, conditional rendering, lists and keys
  • React Hooks: useState, useEffect, useContext, useReducer, useMemo, useCallback, useRef, custom hooks
  • React Router v6: SPA navigation, dynamic routing, nested routes, protected routes, lazy loading
  • State management: Redux Toolkit — store, slices, actions, reducers, createAsyncThunk, RTK Query; Zustand intro
  • Component patterns: compound components, HOC, Render Props, controlled/uncontrolled components
  • Mini-project: Job listing SPA with filters and saved jobs (React + Redux)
  • Node.js: event loop, modules (CommonJS/ESM), npm/yarn, fs module, streams, buffers
  • Express.js: routing, middleware (body-parser, cors, morgan), REST API design, MVC pattern, error handling
  • Authentication & Security: JWT, bcrypt, session management, OAuth2 basics, helmet.js, OWASP Top 10
  • Python backend: Flask — routes, templates (Jinja2), blueprints; FastAPI — async endpoints, Pydantic models, dependency injection
  • API design: RESTful conventions, versioning, Swagger/OpenAPI documentation
  • Mini-project: Full REST API for a blog with JWT authentication
  • SQL: MySQL/PostgreSQL — DDL, DML, DQL (SELECT, joins, subqueries), aggregation, indexes, transactions (ACID), stored procedures, views
  • ORM: Sequelize (Node.js) — models, associations, migrations; SQLAlchemy (Python) — declarative models, sessions
  • MongoDB: documents, collections, CRUD, aggregation pipeline ($match, $group, $lookup), Mongoose ODM, schema validation, indexing
  • Database design: ER diagrams, normalization, when to choose SQL vs NoSQL
  • AI coding tools: GitHub Copilot, Cursor IDE, Codeium — prompt-driven development, autocomplete, code explanation
  • Automated code review with AI: reviewing PRs, bug detection and security scanning
  • Building AI-powered features: integrating OpenAI API (GPT-4o) for text generation; Anthropic Claude API; streaming responses
  • Prompt engineering for developers: zero-shot, few-shot, function calling, structured outputs (JSON mode)
  • Introduction to ML for developers: scikit-learn, building a simple ML pipeline, deploying as a Flask/FastAPI
  • RAG (Retrieval Augmented Generation) basics — document Q&A systems
  • AWS: EC2 instance deployment, S3 static hosting, RDS managed database, Lambda functions, Elastic Beanstalk
  • Alternative platforms: Vercel (Next.js), Railway (Node/Python backends), Netlify (static sites)
  • Docker: Dockerfile creation, building images, running containers, docker-compose for multi-service dev
  • CI/CD: GitHub Actions — workflow YAML, build/test/deploy pipeline, secrets management, environment variables
  • Environment management: .env files, production vs development config, secrets best practices
  • Unit testing: Jest (JavaScript) — describe/test/expect, mock functions, snapshot testing; pytest (Python) — fixtures, parametrize
  • Integration testing: Supertest for Express API testing; integration test patterns
  • API testing: Postman/Thunder Client — collections, environments, test assertions
  • TDD basics; code coverage reports; testing best practices
  • Project 1: Full-stack CRUD application — React + Node/Express + MongoDB (e.g., task manager, blog platform)
  • Project 2: E-commerce web app with payment integration (Razorpay/Stripe), authentication, admin dashboard
  • Project 3: AI-powered application (e.g., AI resume builder, chatbot with RAG, document Q&A system)
  • Portfolio development: GitHub profile with pinned repos, README files, live deployment links
  • Resume and LinkedIn optimisation; mock technical interviews; LeetCode-style coding challenges
  • Internship application support and placement assistance

What You Will Learn

✅Build responsive front-ends with HTML5, CSS3, and JavaScript
✅Develop SPAs with React, Redux Toolkit and React Router
✅Build and secure REST APIs with Node.js/Express and Python/FastAPI
✅Design and query SQL (PostgreSQL/MySQL) and NoSQL (MongoDB) databases
✅Use GitHub Copilot and AI tools to code 3× faster
✅Integrate OpenAI and Claude APIs to build AI-powered features
✅Containerise apps with Docker and deploy via GitHub Actions CI/CD
✅Deploy to AWS (EC2, S3, RDS, Lambda) and Vercel/Railway
✅Write unit and integration tests with Jest and pytest
✅Build 3 portfolio projects and crack technical interviews

Tools & Technologies

HTML5 / CSS3 JavaScript ES6+ React.js Redux Toolkit Node.js Express.js Python Flask / FastAPI MongoDB / Mongoose MySQL / PostgreSQL Git & GitHub GitHub Copilot Cursor IDE OpenAI API Docker GitHub Actions AWS (EC2, S3, RDS) Vercel / Railway Jest / pytest Postman scikit-learn (intro)

Career Progression

Intern / Fresher After completing the program — portfolio + 3 live projects
Junior Software Developer 6 months–1 year — React, Node.js, Python roles
Software Developer 2–3 years — full-stack projects, team collaboration
Senior Developer 4–5 years — code review, mentoring, architecture
Tech Lead / Engineering Manager 6+ years — team leadership, product ownership

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Frequently Asked Questions

What will I learn in the Software Developer with AI Course program?

The Software Developer with AI Course program at White Banger Academy provides hands-on training with live projects, industry tools, and a curriculum designed with input from hiring partners. You will gain practical skills directly applicable to real-world job roles.

What certificate do I get after completing the course?

You receive a White Banger Specialised Diploma, widely recognised by our 500+ hiring partner network. The certificate is issued after successful completion of coursework and a final assessment.

What is the course fee and are there EMI options?

Course fees vary by duration (3 / 6 / 12 months). We offer flexible EMI payment options. Please fill our enquiry form or WhatsApp +91 97283-20132 for the current fee schedule.

Is placement guaranteed after completing the course?

White Banger provides 100% placement support — not a guarantee of employment, but active assistance including resume building, mock interviews, and direct referrals to our 500+ hiring partners. Our placement rate is 92%.

Do I need any prior experience to enroll?

No prior experience is required. The program is structured to take students from beginner to job-ready. Basic English literacy and access to a computer are sufficient to get started.

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8 Months · Full Stack + AI · Live Projects

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