Veda IT

Who Should Join Mongo DB Course?

Job Switchers
Working Professionals
Engineering Graduates
University Students
Entry-Level Candidates

Keyskills of Mongo DB Developer

Proficiency in MySQL requires a strong understanding of database concepts, including schema design, normalization, and indexing. Key skills include writing complex SQL queries, joins, subqueries, and optimizing queries for performance. Developers should be familiar with stored procedures, triggers, and views for efficient database operations. Knowledge of database security, backup, and restoration processes is essential. Experience with tools like phpMyAdmin or MySQL Workbench, as well as integration with programming languages like PHP, Python, or Java, is valuable.

Key Features

Covers core MongoDB concepts, including data modeling, querying, and administration.
Real-world projects and exercises to develop practical NoSQL skills.
Learn from experienced MongoDB developers and database professionals.
Offline classes with optional online support.
Recognized certificate from Veda IT upon successful course completion.

What you'll learn

The Certificate Program in MongoDB Database Management at Veda IT is designed to provide a solid foundation in MongoDB, a leading NoSQL database widely used in modern applications due to its flexibility and scalability. This course is ideal for IT professionals, developers, and data enthusiasts who want to learn the fundamentals of NoSQL databases and gain hands-on experience in MongoDB. Covering core concepts such as document-based data modeling, CRUD operations, indexing, aggregation, and replication, this program equips students with practical skills to work with MongoDB in real-world applications.

Through hands-on labs and projects, students will learn to build, query, and optimize MongoDB databases, understand MongoDB’s scalability features, and implement best practices for database security and maintenance. By the end of the course, graduates will be proficient in MongoDB database management, preparing them for roles in backend development, data engineering, or further studies in advanced NoSQL database techniques.

Modules Covered

Overview of NoSQL Databases and MongoDB’s Role
Setting Up MongoDB Locally and with MongoDB Atlas
Document Structure: Collections and Documents
CRUD Operations (Create, Read, Update, Delete)
Working with Embedded and Referenced Data
Data Modeling Best Practices
Basic Coding Exercises with MongoDB

Querying Documents with Filters and Projections
Sorting, Limiting, and Pagination
Indexing for Query Optimization
Text Search and Geospatial Queries
Implementing Compound Indexes and Index Strategies
Monitoring and Analyzing Query Performance
Mini Project: Building a Searchable Data Application

Introduction to the Aggregation Framework
Building Pipelines for Data Transformation
Using Stages: Match, Group, Sort, Project
Performing Calculations and Conditional Aggregations
Data Analysis with Aggregated Results
Integrating MongoDB with Visualization Tools
Mini Project: Data Analysis with MongoDB Aggregation

User Management and Access Control in MongoDB
Backup and Restore Techniques
Configuring Replica Sets for High Availability
Sharding for Horizontal Scalability
Monitoring and Maintaining MongoDB Performance
Database Security Best Practices
Final Project: Designing a Scalable, Secure MongoDB Database

Learning Path

Basics of MongoDB and NoSQL Database Concepts

Learn the fundamentals of MongoDB and understand key NoSQL database principles.

Advanced Querying and Indexing Techniques

Master advanced querying, filtering, and indexing to optimize data retrieval.

Data Analysis with Aggregation Framework

Use MongoDB's Aggregation Framework to perform complex data analysis and transformation.

Database Administration, Replication, and Sharding

Explore MongoDB administration tasks, replication for high availability, and sharding for scalability.

Mini Projects for Hands-On Experience

Build practical projects to apply MongoDB concepts and solve real-world data challenges.

Resume Building and Career Guidance

Create a professional resume and gain career advice to advance in database and NoSQL technologies.

Potential Roles

MongoDB Developer
NoSQL Database Administrator
Data Engineer (MongoDB-Focused)
Backend Developer (MongoDB)
Data Analyst (MongoDB)
Application Support Specialist (NoSQL)
Technical Support Engineer (MongoDB)

Start Date20/05/2025
Enrolled100
Lectures50
Skill LevelBasic
LanguageEnglish,Telugu
Quizzes10
CertificateYes
Pass Percentage100%

Certificate Program in MongoDB Database Management

Upon successful completion of the Certificate Program in MongoDB Database Management, you will receive a certificate from Veda IT, validating your foundational skills in MongoDB data management, querying, and database scalability.

Enroll Now

Design and Developed by Colourmoon

Mongo DB

Who Should Join Mongo DB Course?

Job Switchers

Working Professionals

Engineering Graduates

University Students

Entry-Level Candidates

Keyskills of Mongo DB Developer

Key Features

What you'll learn

Modules Covered

Module 1: Introduction to MongoDB and NoSQL Basics 3 hours

Module 2: Advanced Querying and Indexing 3 hours

Module 3: Aggregation Framework and Data Analysis 3 hours

Module 4: Database Administration, Replication, and Sharding 3 hours

Learning Path

Potential Roles

Certificate Program in MongoDB Database Management