Description

Course Description:

The MongoDB has become the most popular NoSQL database for modern high-performance applications. This course is designed to help developers master MongoDB for building scalable, secure, and flexible data-driven solutions. You will learn how to design efficient database schemas, perform advanced CRUD operations, implement indexing and aggregation pipelines, and integrate MongoDB with real-world applications using Node.js and Python. Through hands-on practice with Atlas Cloud, you will gain expertise in data modeling, replication, sharding, and performance optimization. By the end of the program, you will be fully prepared to develop full-stack applications using MongoDB as a primary database in production environments.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After MongoDB for Developers Certified Coures:

• MongoDB Developer
• Backend Developer
• Full Stack Developer
• Database Administrator (DBA) – NoSQL
• Data Engineer
• Big Data Developer
• Cloud Database Developer
• Application Support Engineer
• Software Engineer
• Technical Consultant

Essential Skills you will Develop MongoDB for Developers Certified Coures:

• NoSQL database schemas
• CRUD operations
• indexing and query optimization
• Aggregation Framework
• replication and sharding
• Node.js, Python,
• data modeling best practices
• authentication, authorization, and encryption.
• MongoDB Atlas
• performance issues

Tools Covered:

• MongoDB Community
• Enterprise Edition
• MongoDB Atlas
• Mongo Shell
• Compass
• Robo 3T (formerly Robomongo)
• Node.js
• Python (PyMongo)
• Mongoose
• Aggregation Framework
• MongoDB Drivers & API

Syllabus:

Module 1: Introduction to MongoDB Overview of NoSQL databases MongoDB architecture and features Installing MongoDB and connecting to the database.

Module 2: CRUD Operations Creating, reading, updating, and deleting documents Query operators and filters Bulk operations.

Module 3: Data Modeling Schema design in MongoDB Embedded documents vs references Best practices for data modeling.

Module 4: Indexing and Performance Optimization Types of indexes  Creating and managing indexes Query optimization techniques.

Module 5: Aggregation Framework Introduction to aggregation pipelines Stages, operators, and expressions Real-world examples of data aggregation.

Module 6: Replication and High Availability Replica sets setup and configuration Failover and recovery mechanisms Maintaining data consistency.

Module 7: Sharding and Scalability Sharding concepts and architecture Shard keys and balancing Scaling large databases horizontally.

Module 8: MongoDB Security Authentication and authorization Role-based access control (RBAC) Encryption and secure connections.

Module 9: MongoDB with Node.js and Python Using Node.js with Mongoose Using Python with PyMongo Building simple applications with MongoDB backend.

Module 10: MongoDB Atlas and Cloud Deployment Deploying databases on MongoDB Atlas Monitoring and backup strategies Best practices for production environments.

Industry Projects:

• E-commerce Product Catalog
• Real-Time Chat Application
• Social Media Analytics
• Inventory Management
• Blog Platform
• IoT Data Storage
• Online Booking System
• Recommendation Engine
• Healthcare Patient Database
• Financial Transaction Tracker

Who is this program for?

• Aspiring Backend Developers
• Full Stack Developers
• Software Engineers
• Data Engineers
• Database Administrators (DBAs)
• Cloud Developers
• Students & Freshers
• IT Professionals
• Startups & Entrepreneurs
• Anyone Interested in NoSQL Databases

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com