MongoDB is the world’s leading NoSQL database, known for its scalability, flexibility, and ease of use. It stores data in a JSON-like format (BSON), making it ideal for modern web, mobile, IoT, and big data applications. This course is designed for developers, data engineers, and backend professionals looking to master MongoDB from fundamentals to advanced concepts. Learn to design schemas, perform CRUD operations, write powerful queries, create indexes, implement data modeling, and work with MongoDB in real-world projects.
What is NoSQL?
Features of MongoDB
MongoDB vs RDBMS
Understanding BSON & JSON
Use Cases of MongoDB in Industry
Installing MongoDB (Community Edition)
Mongo Shell & Compass GUI
Creating Databases & Collections
Inserting Documents
Reading Documents (find, projection)
Updating & Deleting Documents
Working with Data Types & Operators
Query Operators ($gt, $in, $or, $exists, etc.)
Sorting & Limiting Results
Pagination Techniques
Aggregation Pipeline Framework
$match, $group, $sort, $lookup, $project
MapReduce (Intro Only)
Embedding vs Referencing
One-to-One, One-to-Many, Many-to-Many Relationships
Schema Design Patterns
Normalization vs Denormalization in MongoDB
Working with Arrays and Nested Documents
Index Types: Single Field, Compound, Multikey
Text and Geospatial Indexes
Explain Plans & Query Optimization
TTL Indexes
Covered Queries
Performance Best Practices
Authentication & Authorization
Role-Based Access Control (RBAC)
Database Users and Admin Roles
Encryption at Rest and in Transit
Backup & Restore Strategies (mongodump/mongorestore)
MongoDB Atlas Security (Cloud)
Connecting MongoDB to Node.js/Python App
MongoDB Drivers & ODM (Mongoose for Node.js)
CRUD Operations in Web Application
MongoDB with REST APIs
Transactions in MongoDB
Real-Time Integration Overview
Introduction to MongoDB Atlas
Creating Clusters and Deployments
Data Import/Export
Global Clusters and Backup Snapshots
Monitoring Tools and Alerts
Scaling on Cloud (Sharding & Replication Overview)
Build a Blog CMS with MongoDB
E-Commerce Cart System with Embedded Documents
Real-Time Chat App Data Storage
MongoDB API Backend with Node.js
Schema Design Challenge – Social Media App
MongoDB is the #1 NoSQL database used in modern web and cloud applications
High demand in MERN, MEAN, data engineering, and microservices stacks
Covers both MongoDB Core + MongoDB Atlas (Cloud)
Prepares you for MongoDB Associate Developer Certification
Hands-on, project-driven training with real-world data models
NoSQL Career Path Roadmap
MongoDB Certification Guide
Resume and LinkedIn Profile Optimization
Portfolio Building with GitHub Projects
Interview Preparation for MongoDB Developer/Data Engineer Roles
🔍 Roles You Can Apply For:
MongoDB Developer
Backend Developer (Node.js + MongoDB)
NoSQL Database Engineer
MERN/MEAN Stack Developer
Data Engineer (MongoDB + ETL)
💸 Expected Salary Range (India):
Experience | Role | Avg Salary |
---|---|---|
0–1 years | MongoDB Developer Intern | ₹3 – ₹4.5 LPA |
1–3 years | Backend Dev / NoSQL Specialist | ₹5 – ₹8 LPA |
3–5 years | Full Stack / MongoDB Architect | ₹9 – ₹15+ LPA |
✅ Real-Time Projects for Portfolio
✅ MongoDB Atlas Hands-on Practice
✅ Interview Q&A + Resume Support
✅ Certificate of Completion
✅ Community Group Access for Jobs & Help
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