Course Overview
About Course
This 40-hour MongoDB with Node.js training builds modern back-end proficiencies by combining Node.js, Express, and the official MongoDB driver (Mongoose) into hands-on learning. Starting with Node’s architecture—event loop, NPM, modular design—and NoSQL fundamentals, it moves to setting up MongoDB (local and Atlas), and developer tools like the mongo shell and Compass
Participants learn CRUD operations, schema modeling, middleware, and advanced querying using MongoDB’s aggregation framework and geospatial queries . Express is introduced for RESTful API design, covering routing, middleware, versioning, filtering, and pagination . Security is emphasized through JWT-based authentication, role-based access, validation, sanitization, and rate-limiting .
The curriculum includes error handling, testing (Jest/Mocha), CI/CD, file uploads, email integration, Stripe payments, and deployment to platforms like Heroku or AWS . Performance optimization through indexing, explain plans, and monitoring enhances real-world readiness .
A full-capstone project synthesizes all modules: designing and deploying a production-ready API with robust features—authentication, payments, file handling—with thorough testing and monitoring. Graduates emerge ready to architect, develop, secure, and scale complete backend systems using MongoDB and Node.js in professional environments.
Course Syllabus
- **Foundations of Node.js & NoSQL (4 h)
- Node.js architecture: event loop, modules, NPM basics
- NoSQL vs SQL and MongoDB overview
- **Environment Setup & Developer Tools (4 h)
- Installing Node.js, Express, MongoDB (local & Atlas)
- Developer tools: mongo shell, Compass, debugging tools
- **CRUD with MongoDB & Mongoose (6 h)
- Core CRUD operations from Node using Mongoose
- Data modeling, schema design, validation, middleware
- **Express & API Design (6 h)
- Express fundamentals: routing, middleware, controllers
- RESTful API patterns: filtering, pagination, versioning
- **Advanced MongoDB Queries (4 h)
- Aggregation pipelines, geospatial data, complex queries
- **Authentication & Security (4 h)
- JWT authentication, role-based access, password reset flows
- Security best practices: sanitization, rate-limiting
- **Error Handling & Validation (4 h)
- Centralized error middleware, input validation, logging
- **Testing & CI/CD (4 h)
- Unit and integration testing with Jest or Mocha
- CI/CD pipelines and deployment strategies
- **File Uploads, Emails & Payments (4 h)
- Handling file uploads, integrating Stripe, SendGrid
- **Deployment & DevOps (4 h)
- Deploying to Heroku, AWS, or similar; config and environment variables
- **Performance & Monitoring (4 h)
- Explain plans, indexes, query optimization
- Monitoring tools, logging best practices
- **Capstone Project (4 h)
- Build a full-stack REST API with authentication, payments, testing, deployment
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Key Features
- Project-driven labs: real-world use cases (e‑commerce, social apps)
- Deep dive into Mongoose features: schemas, validations, middleware
- Security workshops with JWT, sanitization, rate limiting
- Performance clinic leveraging explain and optimization, plus CI/CD pipelines
- Integration of file uploads, email, and Stripe payments
- Full Capstone: end-to-end build and deployment



