The MongoDB Certification Training Course is designed to help learners master the skills required to become a MongoDB professional, capable of building and managing scalable, high-performance applications. This course covers everything from database design and querying to indexing, aggregation, replication, and sharding. Ideal for developers, database administrators, and data engineers, it equips you with practical knowledge for working with NoSQL databases.

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Instructor led live online Classes

MongoDB Certification Training Course

Instructor led live online Training (Weekday/Weekend)

Why Enroll in the MongoDB Certification Training Course?

Master NoSQL Databases: Learn how to work with document-oriented data models.
Industry Demand: MongoDB skills are highly valued in modern web and big data applications.
Hands-On Learning: Build real-world projects using MongoDB’s powerful features.
Performance Optimization: Understand indexing, replication, and sharding for large-scale applications.
Certification Recognition: Add a trusted credential to your professional profile.

Course Description

This course is a comprehensive guide to MongoDB concepts including installation, CRUD operations, data modeling, schema design, aggregation, and performance tuning.

1. Developers working on web or mobile applications. 2. Database Administrators transitioning from RDBMS to NoSQL. 3. Data Engineers dealing with unstructured or semi-structured data. 4. System Architects designing scalable data-driven systems.

1. Provides in-depth technical knowledge and practical exposure. 2. Includes real-world use cases and capstone projects. 3. Prepares you for MongoDB certification exams and industry roles.

What you'll learn

MongoDB Basics: Installation, architecture, and document-based data modeling.

CRUD Operations: Create, Read, Update, Delete operations in MongoDB shell and drivers.

Indexing and Performance: Efficient query strategies and indexing.

Aggregation Framework: Data processing using pipelines and operators.

Data Replication and Sharding: High availability and horizontal scaling.

Backup and Recovery: Strategies for disaster recovery and data safety.

Security Features: Authentication, authorization, and auditing.

Requirements

Familiarity with basic programming concepts.
Understanding of databases and query languages is helpful but not required.

Curriculum Designed by Experts

Understanding the basic concepts of a Database
Database categories: What is NoSQL? Why NoSQL? Benefit over RDBMS
Types of NoSQL Database, and NoSQL vs. SQL Comparison, ACID & Base Property
CAP Theorem, implementing NoSQL and what is MongoDB?
Overview of MongoDB, Design Goals for MongoDB Server and Database, MongoDB tools
Understanding the following: Collection, Documents and Key/ Values, etc.
Introduction to JSON and BSON documents
Environment setup (live Hands-on) and using various MongoDB tools available in the MongoDB Package
Case study discussion

MongoDB Installation

Data Modelling Concepts
Why Data Modelling? Data Modelling Approach
Analogy between RDBMS & MongoDB Data Model, MongoDB Data Model (Embedding & Linking)
Challenges for Data Modelling in MongoDB
Data Model Examples and Patterns
Model Relationships between Documents
Model Tree Structures
Model Specific Application Contexts
Use Case discussion of Data modeling

HR Data Modeling in RDBMS

MongoDB Development Architecture
MongoDB Production Architecture
MongoDB CRUD Introduction, MongoDB CRUD Concepts
MongoDB CRUD Concerns (Read & Write Operations)
Concern Levels, Journaling, etc.
Cursor Query Optimizations, Query Behavior in MongoDB
Distributed Read & Write Queries
MongoDB Datatypes
MongoDB CRUD Syntax & Queries (Live Hands on)

MongoDB CRUD Operation

Index Introduction, Index Concepts, Index Types, Index Properties
Index Creation and Indexing Reference
Introduction to Aggregation
Approach to Aggregation
Types of Aggregation (Pipeline, MapReduce & Single Purpose)
Performance Tuning

Work with Aggregations

Administration concepts in MongoDB
Monitoring issues related to Database
Monitoring at Server, Database, Collection level, and various Monitoring tools related to MongoDB
Database Profiling, Locks, Memory Usage, No of connections, page fault etc.
Backup and Recovery Methods for MongoDB
Export and Import of Data to and from MongoDB
Run time configuration of MongoDB
Production notes/ best practices
Data Managements in MongoDB (Capped Collections/ Expired data from TTL), Hands on Administrative Tasks

Import and Export MongoDB® Data

Introduction to Replication (High Availability)
Concepts around Replication
What is Replica Set and Master Slave Replication?
Type of Replication in MongoDB
How to setup a replicated cluster & managing replica sets etc.
Introduction to Sharding (Horizontal Scaling)
Concepts around Sharding, what is shards, Key
Config Server, Query Router etc.
How to setup a Sharding
Type of Sharding (Hash Based, Range Based etc.), and Managing Shards

Replication setup
Set up Sharding

Security Introduction
Security Concepts
Integration of MongoDB with Jaspersoft
Integration of MongoDB with Pentaho
Integration of MongoDB with Hadoop/Hive
Integration of MongoDB with Java
Integration of MongoDB with GUI Tool Robomongo
Case Study MongoDB and Java

MongoDB Installation

Data Modelling Concepts
Why Data Modelling? Data Modelling Approach
Analogy between RDBMS & MongoDB Data Model, MongoDB Data Model (Embedding & Linking)
Challenges for Data Modelling in MongoDB
Data Model Examples and Patterns
Model Relationships between Documents
Model Tree Structures
Model Specific Application Contexts
Use Case discussion of Data modeling

HR Data Modeling in RDBMS

MongoDB Development Architecture
MongoDB Production Architecture
MongoDB CRUD Introduction, MongoDB CRUD Concepts
MongoDB CRUD Concerns (Read & Write Operations)
Concern Levels, Journaling, etc.
Cursor Query Optimizations, Query Behavior in MongoDB
Distributed Read & Write Queries
MongoDB Datatypes
MongoDB CRUD Syntax & Queries (Live Hands on)

MongoDB CRUD Operation

Index Introduction, Index Concepts, Index Types, Index Properties
Index Creation and Indexing Reference
Introduction to Aggregation
Approach to Aggregation
Types of Aggregation (Pipeline, MapReduce & Single Purpose)
Performance Tuning

Work with Aggregations

Administration concepts in MongoDB
Monitoring issues related to Database
Monitoring at Server, Database, Collection level, and various Monitoring tools related to MongoDB
Database Profiling, Locks, Memory Usage, No of connections, page fault etc.
Backup and Recovery Methods for MongoDB
Export and Import of Data to and from MongoDB
Run time configuration of MongoDB
Production notes/ best practices
Data Managements in MongoDB (Capped Collections/ Expired data from TTL), Hands on Administrative Tasks

Import and Export MongoDB® Data

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FAQ

Yes. Available as live instructor-led training or self-paced modules.

You can access recorded classes and other resources through the LMS.

Usually 4 to 6 weeks, including practice projects and assessments.

What Our Learners Say

D Daniel Foster, Database Developer

(4.0)

The MongoDB Certification Training Course provided a strong foundation in NoSQL...

O Olivia Grant, Full Stack Developer

I took this course to get more comfortable with NoSQL databases, and it didn’t d...

L Liam Turner, Data Engineer

This course offered a comprehensive overview of MongoDB with a good balance betw...

S Sophia Lane, Software Developer

Amazing experience! This course helped me get job-ready with MongoDB. The hands-...

MongoDB Certification Training Course

Read Review

Instructor led live online Classes

MongoDB Certification Training Course