


Node JS Express and MongoDB with AI training in Nepal
Code IT offers Nepal’s most affordable and practical Backend Development training course in Nepal
Backend Development Course in Nepal with Node.js, Express, MongoDB & AI – Best Affordable Training at Code IT
Code IT offers Nepal’s best and most affordable backend development course with full training in Node.js, Express.js, MongoDB, and AI integration. This career-focused course is ideal for IT students, job seekers, freelancers, and working professionals across Dharan, Itahari, Biratnagar, Kathmandu, and throughout Nepal.
If you're searching for backend training in Nepal, this program gives you hands-on experience through project-based learning, real-time AI applications, and free certification with job support.
What You’ll Learn in Our Backend Developer Course:
- JavaScript for backend development
- Node.js server-side development
- RESTful APIs with Express.js
- MongoDB database design and queries
- JWT authentication & backend security
- AI tools like chatbots and automation
- Real-world projects with Node, MongoDB & AI
Why Choose Code IT for Backend Development Training in Nepal?
- Most affordable backend course in Nepal
- Both online and offline classes available
- Free certification and guaranteed internship
- Learn Node.js, MongoDB, Express with AI integration
- Expert mentors with job placement support
- Project-based learning that builds your portfolio
Whether you're a beginner or looking to advance your backend skills, our Node.js and MongoDB course in Nepal prepares you for high-paying developer jobs and freelance work.
Start your tech career today with Nepal’s leading and budget-friendly backend training.
Enroll now at Code IT—Nepal’s top backend development course provider!
Materials included
Requirements
Course Syllabus
Introduction to Node.js
- Overview of Node.js and its architecture
- Installing Node.js and setting up the environment
- Understanding npm (Node Package Manager)
- Writing and running Node.js applications
- Core modules: fs, path, http, and os
- Creating and managing custom modules
- Event-driven architecture and EventEmitter
- Asynchronous programming: Callbacks, Promises, and async/await
- Error handling in asynchronous operations
- Building HTTP servers with Node.js
- Working with the file system (fs module)
- Creating RESTful APIs
Mastering Express.js
- Introduction to Express.js and its setup
- Middleware: Built-in, third-party, and custom middleware
- Request-response cycle in Express.js
- Routing: Query parameters, URL parameters, and forms
- Building RESTful APIs with Express.js
- Template engines: Working with EJS for dynamic content
- Error handling in Express.js
- Logging and debugging in Express.js applications
- Security best practices: Helmet.js, CORS, and sanitization
- Authentication basics: JWT (JSON Web Token) integration
MongoDB and Mongoose
- Overview of NoSQL and MongoDB fundamentals
- Installing MongoDB and connecting with Node.js
- Introduction to Mongoose: Schemas and models
- CRUD operations with Mongoose
- Data validation and schema design
- Relationships in MongoDB: One-to-Many and Many-to-Many
- Querying data: Filtering, sorting, and pagination
- Aggregation pipelines in MongoDB
- Authentication with JWT: Implementing signup and login functionality
- Password hashing and security best practices
- Optimizing MongoDB performance
Real-World Project
- Project planning and architecture design
- Implementing user authentication and authorization
- Protecting routes with middleware
- Creating RESTful API endpoints
- Connecting the backend to MongoDB
- Input validation and error handling middleware
- Securing the application with industry best practices
- Testing APIs using Postman or Thunder Client
- Deploying the application to a cloud platform (e.g., Heroku or Render)
- Finalizing the project and integrating feedback
Outcome
- A fully functional backend project using Node.js, Express, and MongoDB.
- Practical experience with backend development and deployment.
- Knowledge of best practices for building secure and scalable applications.
AI integration
- Use AI tools for code debugging and refactoring
- Integrate AI for generating product details, recommendations, etc.
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