MongoDB Online Training | MongoDB Certification Course | Edureka

MongoDB Certification Training

MongoDB training helps you gain expertise in leading document-oriented NoSQL database, designed with both Scalability and Developer agility. You'll master MongoDB Architecture, CRUD, Schema Design and Data Modelling, Indexing using real-life case studies. 

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Why this course ?

  • MongoDB has more than 900 customers, including 27 Fortune 100 companies like Cisco, eBay, eHarmony, MetLife &
  • More than 6.5 million downloads of MongoDB
  • Average salary of MongoDB Developer is $134k -
  • 14K + satisfied learners. Reviews

Instructor-led live online classes


Fri - Sat ( 4 Weeks )
09:30 PM - 12:30 AM ( EST )
10% Off


Sat - Sun ( 4 Weeks )
10:00 AM - 01:00 PM ( EST )
10% Off
Starts on 24th Nov 2017, 09:30 PM EST

Edureka's Full Stack Masters Program provides hands-on training to help you master front end and back end technologies and develop scalable web apps. The program starts with a training on HTML5, CSS3, JavaScript, followed by AngularJS, and Node.js. It also covers MongoDB, a matured NoSQL database, and makes sure that you master the complete MEAN Stack. Curated and led by industry experts, the exhaustive curriculum sets this program one step ahead of short-term certifications and transforms you into an expert Full Stack Developer.

jQuery UI DevelopmentWeb Development Certification Training Angular Certification TrainingNode.js Certification Training MongoDB Certification Training




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Edureka For Business

Train your employees with exclusive batches and offers and track your employee's progress with our weekly progress report.

Instructor-led Sessions

24 Hours of Online Live Instructor-Led Classes.
Weekend Class : 8 sessions of 3 hours each. 

Real-life Case Studies

Towards the end of the training, you will be working on a project where you will implement the concepts of Mongo DB.


Each class has practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class.

Lifetime Access

You get lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.


edureka certifies you as a Mongo DB Expert based on the project reviewed by our expert panel.


We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.

This MongoDB® Training Certification course will help you to master one of the most popular NoSQL databases. This course is designed to provide knowledge and skills to become a successful mongoDB® expert. The course covers a range of NoSQL and mongoDB® topics such as CRUD Operations, Schema Design and Data Modelling, Scalability etc.

After the completion of the mongoDB® Course at edureka, you should be able to: 

1. Gain an insight into the 'Roles' played by a mongoDB® expert. 

2. Learn how to design Schema using Advanced Queries.

3. Troubleshoot Performance issues.

4. Understand mongoDB® Aggregation framework

5. Learn mongoDB® Backup and Recovery options and strategies

6. Understand scalability and availability in mongoDB® using Sharding 

7. How to setup a replicated cluster, Managing ReplicaSets etc. 

8. What is shards, Key, ConfigServer, Query Router etc. 

9. How to setup Sharding 

10. Various MongoDB® tools to develop and deploy your applications

11. Learn MongoDB® Administration activities

12. Health Check, Backup, Recovery, Performance tuning, etc. 

13. Understand Hadoop and MongoDB Integration 

14. Data Migration in MongoDB with Hadoop (MongoDB to Hive)

15. Learn to integrate MongoDB with tools like Jaspersoft and Pentaho

16. Integration of MongoDB with GUI Tool Robomongo

MongoDB® is a matured NoSQL database product with an ever growing adoption. Many big enterprise and internet companies such as Cisco, EBay, Disney etc. are now running large scale mongoDB production deployments. With its increased adoption, mongoDB® has enabled developers to build new types of applications for cloud, mobile and social technologies. This makes mongoDB® developers an invaluable resource for companies looking to innovate in each of these areas. 

The following blogs will help you understand the significance of MongoDB training:

If you are a Software Architect, Database Professional, Project Manager, and Software Developer, DBA, System Administrator or a graduate interested in learning the most popular NoSQL database, this course is for you. 

After completing this course you will be able to produce database designs for mongoDB® applications, understand its usage in solving your business problem.

There are no prerequisites for attending this mongoDB® course. Understanding of any mainstream programming language such as Java, basic understanding of database concepts, and knowledge of a text editor such as 'VI editor' will be beneficial.

Your system should have 4GB RAM and i3 processor or above. 
For your practical work, we will help you set-up the Mongo DB environment on your system with local access. The detailed step by step installation guides will be present in your LMS which will help you to install and set-up the required environment. In case you come across any doubt, the 24*7 support team will promptly assist you.

In this Project you will be setting up MongoDB, creating clusters, loading bulk data, and use the development tool as Java to perform certain tasks. Below are the tasks that you need to perform:

·    Setup a MongoDB 2.4.10 or later version, 1 Primary and 4 secondary nodes Cluster depending upon the resources you have.

·   Setup a cluster of MongoDB 2.4.10 or later version, there should be 3 replica set, each replica set should have 3 nodes, 1 Primary and 2 secondary nodes, now create shared cluster, this cluster should have with replica set, each shard should have 1 replica set.

·   Load bulk data to MongoDB instance and perform the specified activities.

·   Configure an environment with MongoDB as a Database and Development tool as Java and perform certain activities.

Learning Objectives - In this module, you will get an understanding of Databases, Design Goals, Requirement of NoSQL/MongoDB, Architecture of mongoDB® etc. This Module will also cover installation of mongoDB® and associated tools.

Topics - Understanding Base Concepts of 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, and Implementing NoSQL, What is MongoDB? Overview of MongoDB, Design Goals for MongoDB Server and Database, MongoDB Tools, Depth Understanding of Database, Collection, Documents and Key /Values etc., Introduction to JSON and BSON Documents, Installation/Running MongoDB on various platforms Windows, Linux, MAC OS etc., Environment Setup (Live Hands on), Usage of various MongoDB Tools available with MongoDB Package, Project: Problem Statement.

Learning Objectives - In this module, you will get an understanding of CRUD Operations and their functional usage. Read/write operations with CRUD. 

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

Learning Objectives - In this module, you will learn Schema Design and Data Modelling in mongoDB®. Various data structure and tools available to manage Data Model in MongoDB.

Topics - Data Modelling Concepts, Type of Data Modelling, 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 One-to-One Relationships with Embedded Documents, Model One-to-Many Relationships with Embedded Documents, Model One-to-Many Relationships with Document References, Model Tree Structures: Model Tree Structures with Parent References, Model Tree Structures with Child References, Model Tree Structures with an Array of Ancestors, Model Tree Structures with Materialized Paths, Model Tree Structures with Nested Sets, Model Specific Application Contexts: Model Data for Atomic Operations, Model Data to Support Keyword Search, Data Model References, Use Case of Data modelling.

Learning Objectives - In this module you will learn MongoDB® Administration activities such as Health Check, Backup, Recovery, Data Import/Export, Performance tuning etc.

Topics - Administration Concept in MongoDB, Health Check of MongoDB Database, Monitoring of Various issues related with 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/Bets Practices, Data Managements in MongoDB (Capped Collections/ Expired data from TTL), Hands on Administrative Tasks.

Learning Objectives - In this module, you will understand the setup and configuration of mongoDB® High Availability, Disaster Recovery, and Load Balancing.

Topics - Introduction to Replication (High Availability), Concepts around Replication, What is ReplicaSet and Master Slave Replication? Type of Replication in MongoDB, How to setup a replicated cluster, Managing ReplicaSets etc., Introduction to Sharding (Horizontal Scaling), Concepts around Sharding, What is shards, Key, ConfigServer, Query Router etc.? How to setup a Sharding, Type of Sharding (Hash Based, Range Based etc.), and Managing Shards.

Learning Objectives - In this module, you will learn the Indexing and Aggregation Framework in mongoDB®.

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

Learning Objectives - In this module, you will learn mongoDB® tools to develop and deploy your applications. This module will also help you understand the multiple package components and advance concepts related with MongoDB integration, Hadoop and MongoDB integration.

Topics - MongoDB Package Components, Configuration File Options, MongoDB Limits and Thresholds, Connection String URI Format/ Integration of any compatible tool with MongoDB, API and Drivers for MongoDB, MMS (MongoDB Monitoring Service), HTTP and Rest Interface, Integration of MongoDB with Hadoop and Data Migration MongoDB with Hadoop (MongoDB to Hive).

Learning Objectives - In this module, you will learn security related with MongoDB, Integration with various tools and technology. Also you will see to integrate with various reporting and Analytical tools like Pentaho, Jaspersoft etc.

Topics - Security Introduction, Security Concepts, Security Tutorials, 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, Project on MongoDB and Java.

"You will never lose any lecture. You can choose either of the two options:
  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch."
edureka is committed to provide you an awesome learning experience through world-class content and best-in-class instructors. We will create an ecosystem through this training, that will enable you to convert opportunities into job offers by presenting your skills at the time of an interview. We can assist you in resume building and also share important interview questions once you are done with the training. However, please understand that we are not into job placements.
We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrolment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.
All our instructors are working professionals from the Industry and have at least 10-12 yrs of relevant experience in various domains. They are subject matter experts and are trained by Edureka for providing online training so that participants get a great learning experience.
You can give us a CALL at +91 88808 62004/1800 275 9730 (US Tollfree Number) OR email at

  • Once you are successfully through the project (Reviewed by a edureka expert), you will be awarded with edureka’s Data Analytics certificate.
  • edureka certification has industry recognition and we are the preferred training partner for many MNCs e.g.Cisco, Ford, Mphasis, Nokia, Wipro, Accenture, IBM, Philips, Citi, Ford, Mindtree, BNYMellon etc. Please be assured.

MongoDB Certification Training