MongoDB Certification Training Course by Simplilearn: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study, Virtual Classroom	Mode of Delivery Video and Text Based	Frequency of Classes Weekends

Course overview

The MongoDB certification course is an all-round learning experience that is designed to make the candidates job-ready as soon as the course is finished. MongoDB Certification Training Course by Simplilearn will take you through the whole nine yards of MongoDB – a premier, industry-based, cross-platform database program, and a leading NoSQL database.

This MongoDB certification course is developed to help young professionals and students master the concepts of MongoDB development services, an open-source document database and the most popular NoSQL database. Moreover, the MongoDB certification course offers hands-on learning via industry-specific projects such as E-learning industry, Telecom Industry, and Training centre.

Candidates will have an inside-out knowledge on how to deal with data modelling, data storage, ingestion, query, shading, and data replication with MongoDB. Also, in-depth knowledge of how to install and maintain MongoDB environments.

In addition, the MongoDB Certification course training will help candidates get a good grasp over practical concepts like MongoDB configuration and backup methods, monitoring, and operational strategies.

Course and certificate fees

Fees information

₹ 21,420

MongoDB Certification Training Course Fee Details -

Head	Amount
Course Fees	Rs. 21420

certificate availability

Yes

certificate providing authority

Simplilearn

Who it is for

Software developer Data administrator Database architect

The MongoDB Certification Training Course by Simplilearn is suitable for profiles such as –

Database Administrators who are responsible for the performance, integrity as well as the security of the database used in an organisation.
Database Architects who analyse client applications, operations as well as programming to determine the structural requirements.
Project Managers who plan and oversee an entire project to ensure that it’s completed on time and within the budget.
Analytics and Research professionals are responsible for researching, analysing, presenting as well as interpreting data related to markets, operations, finance and accounting.
IT Developers are required to analyse the needs of the users and eventually design, test and develop software to meet the needs of the users.
System Administrators who work to identify potential problems and provide a solution for the same for smooth functioning.
Software Developers who design, research, implement as well as manage software programs.
Software Architects who develop, design and lastly execute software solutions to address different business issues.

Eligibility criteria

Skills

Candidates must have a basic understanding of Databases, SQL, or any other query language. Working knowledge of Linux and Linux based operating systems is also a plus. Also, a fundamental knowledge of programming languages is recommended to apply for the MongoDB Certification Training Course by Simplilearn.

Certification Qualifying Detail

One will be able to get the qualifying certificate for MongoDB Certification Training Course by Simplilearn only if they fulfil the following criteria:

Online Classroom

At least one complete batch of MongoDB certification training.
Complete 1 project and 1 simulation test securing a minimum score of 60% or more.

Online Self-Learning

One must have completed 85% of the course.
Must have completed 1 project and 1 simulation test securing a minimum of 60% score.

What you will learn

Java Knowledge of mongodb Knowledge of crud operations

The candidates will acquire a plethora of skills by the course end, such as:

How to optimize performance via installation, maintenance, and configuration of the MongoDB environment with robust MongoDB tools.
Become proficient in writing optimized Java and NodeJS applications using MongoDB.
Learn how to modify data using MongoDB, Positional Array modifications, Bulk inserting, and Document retrieval.
Gain competence in index creation, removal, modification, listing along with proximity queries, pipeline operators and geospatial indexes.
Acquire an in-depth understanding of MongoDB configuration, backup methods, monitoring, and operational strategies.

The syllabus

MongoDB Developer and Administrator

Lesson 0 - Course Introduction

0.001 Course Introduction
0.002 Table of Contents
0.003 Objectives
0.004 Course Overview
0.005 Value to Professionals and Organizations
0.006 Course Prerequisites
0.007 Lessons Covered
0.008 Conclusion

Lesson 1 - Introduction to NoSQL databases

1.001 Lesson1 NoSQL database introduction
1.002 Objectives
1.003 What is NoSQL
1.004 What is NoSQL (contd.)
1.005 Why NoSQL
1.006 Difference Between RDBMS and NoSQL Databases
1.007 Benefits of NoSQL
1.008 Benefits of NoSQL (contd.)
1.009 Types of NoSQL
1.010 Key-Value Database
1.011 Key-Value Database (contd.)
1.012 Document Database
1.013 Document Database Example
1.014 Column-Based Database
1.015 Column-Based Database (contd.)
1.016 Column-Based Database (contd.)
1.017 Column-Based Database Example
1.018 Graph Database
1.019 Graph Database (contd.)
1.020 CAP Theorem
1.021 CAP Theorem (contd.)
1.022 Consistency
1.023 Availability
1.024 Partition Tolerance
1.025 Mongo DB as Per CAP
1.26 Quiz
1.027 Summary
1.028 Conclusion

Lesson 2 - MongoDB A Database for the Modern Web

2.001 Lesson 2 MongoDB-A Database for the Modern Web
2.002 Objectives
2.003 What is MongoDB
2.004 JSON
2.005 JSON Structure
2.006 BSON
2.007 MongoDB Structure
2.008 Document Store Example
2.009 MongoDB as a Document Database
2.010 Transaction Management in MongoDB
2.011 Easy Scaling
2.012 Scaling Up vs. Scaling Out
2.013 Vertical Scaling
2.014 Horizontal Scaling
2.015 Features of MongoDB
2.016 Secondary Indexes
2.017 Replication
2.018 Replication (contd.)
2.019 Memory Management
2.020 Replica Set
2.021 Auto Sharding
2.022 Aggregation and MapReduce
2.023 Collection and Database
2.024 Schema Design and Modeling
2.025 Reference Data Model
2.026 Reference Data Model Example
2.027 Embedded Data Model
2.028 Embedded Data Model Example
2.029 Data Types
2.030 Data Types (contd.)
2.031 Data Types (contd.)
2.032 Core Servers of MongoDB
2.033 MongoDB s Tools
2.034 Installing MongoDB on Linux
2.035 Installing MongoDB on Linux
2.036 Installing MongoDB on Windows
2.037 Installing MongoDB on Windows
2.038 Starting MongoDB On Linux
2.039 Starting MongoDB On Linux
2.040 Starting MongoDB On Windows
2.041 Starting MongoDB On Windows
2.042 Use Cases
2.043 Use Cases (contd.)
2.44 Quiz
2.045 Summary
2.046 Conclusion

Lesson 3 - CRUD Operations in MongoDB

3.001 Lesson 3 CRUD Operations in MongoDB
3.002 Objectives
3.003 Data Modification in MongoDB
3.004 Batch Insert in MongoDB
3.005 Ordered Bulk Insert
3.006 Performing Ordered Bulk Insert
3.007 Performing Ordered Bulk Insert
3.008 Unordered Bulk Insert
3.009 Performing Un-ordered Bulk Insert
3.010 Performing Un-ordered Bulk Insert
3.011 Inserts Internals and Implications
3.012 Performing an Insert Operation
3.013 Performing an Insert Operation
3.014 Retrieving the documents
3.015 Specify Equality Condition
3.016 Retrieving Documents by Find Query
3.017 Retrieving Documents by Find Query
3.018 dollar in, AND Conditions
3.019 dollar or Operator
3.020 Specify AND or OR Conditions
3.021 Retrieving Documents by Using FindOne, AND or OR Conditions
3.022 Retrieving Documents by Using FindOne, AND or OR Conditions
3.023Regular Expression
3.024 Array Exact Match
3.025 Array Projection Operators
3.026 Retrieving Documents for Array Fields
3.027 Retrieving Documents for Array Fields
3.028 dollar Where Query
3.029 Cursor
3.030 Cursor (contd.)
3.031 Cursor (contd.)
3.032 Retrieving Documents Using Cursor
3.033 Retrieving Documents Using Cursor
3.034 Pagination
3.035 Pagination Avoiding Larger Skips
3.036 Advance query option
3.037 Update Operation
3.038 Updating Documents in MongoDB
3.039 Updating Documents in MongoDB
3.040 dollar SET
3.041 Updating Embedded Documents in MongoDB
3.042 Updating Embedded Documents in MongoDB
3.043 Updating Multiple Documents in MongoDB
3.044 Updating Multiple Documents in MongoDB
3.045 dollar Unset and dollar inc Modifiers
3.046 Dollar inc modifier to increment and decrement
3.047 Dollar inc modifier to increment and decrement
3.048 Replacing Existing Document with New Document
3.049 Replacing Existing Document with New Document
3.050 dollar Push and dollar addToSet
3.051 Positional Array Modification
3.052 Adding Elements into Array Fields
3.053 Adding Elements into Array Fields
3.054 Adding Elements to Array Fields Using AddToSet
3.055 Adding Elements to Array Fields Using AddToSet
3.056 Performing AddToSet
3.057 Performing AddToSet
3.058 Upsert
3.059 Removing Documents
3.060 Performing Upsert and Remove Operation
3.061 Performing Upsert and Remove Operation
3.62 Quiz
3.063 Summary
3.064 Conclusion

Lesson 4 - Indexing and Aggregation

4.001 Lesson 4 Indexing and Aggregation
4.002 Objectives
4.003 Introduction to Indexing
4.004 Types of Index
4.005 Properties of Index
4.006 Single Field Index
4.007 Single Field Index on Embedded Document
4.008 Compound Indexes
4.009 Index Prefixes
4.010 Sort Order
4.011 Ensure Indexes Fit RAM
4.012 Multi-Key Indexes
4.013 Compound Multi-Key Indexes
4.014 Hashed Indexes
4.015 TTL Indexes
4.016 Unique Indexes
4.017 Sparse Indexes
4.018 Demo-Create Compound, Sparse, and Unique Indexes
4.019 Demo-Create Compound, Sparse, and Unique Indexes
4.020 Text Indexes
4.021 Demo-Create Single Field and Text Index
4.022 Demo-Create Single Field and Text Index
4.023 Text Search
4.024 Index Creation
4.025 Index Creation (contd.)
4.026 Index Creation on Replica Set
4.027 Remove Indexes
4.028 Modify Indexes
4.029 Demo-Drop and Index from a Collection
4.030 Demo-Drop and Index from a Collection
4.031 Rebuild Indexes
4.032 Listing Indexes
4.033 Demo-Retrieve Indexes for a Collection and Database
4.034 Demo-Retrieve Indexes for a Collection and Database
4.035 Measure Index Use
4.036 Demo-Use Mongo Shell Methods to Monitor Indexes
4.037 Demo-Use Mongo Shell Methods to Monitor Indexes
4.038 Control Index Use
4.039 Demo-Use the Explain, Dollar Hint and Dollar Natural Operators to Create Index
4.040 Demo-Use the Explain, Dollar Hint and Dollar Natural Operators to Create Index
4.041 Index Use Reporting
4.042 Geospatial Index
4.043 Demo-Create Geospatial Index
4.044 Demo-Create Geospatial Index
4.045 MongoDB s Geospatial Query Operators
4.046 Demo-Use Geospatial Index in a Query
4.047 Demo-Use Geospatial Index in a Query
4.048 Dollar GeoWith Operator
4.049 Proximity Queries in MongoDB
4.050 Aggregation
4.051 Aggregation (contd.)
4.052 Pipeline Operators and Indexes
4.053 Aggregate Pipeline Stages
4.054 Aggregate Pipeline Stages (contd.)
4.055 Aggregation Example
4.056 Demo-Use Aggregate Function
4.057 Demo-Use Aggregate Function
4.058 MapReduce
4.059 MapReduce (contd.)
4.060 MapReduce (contd.)
4.061 Demo-Use MapReduce in MongoDB
4.062 Demo-Use MapReduce in MongoDB
4.063 Aggregation Operations
4.064 Demo-Use Distinct and Count Methods
4.065 Demo-Use Distinct and Count Methods
4.066 Aggregation Operations (contd.)
4.067 Demo-Use the Group Function
4.068 Demo-Use the Group Function
4.69 Quiz
4.070 Summary
4.071 Conclusion

Lesson 5 - Replication and Sharding

5.001 Replication and Sharding
5.002 Objectives
5.003 Introduction to Replication
5.004 Master-Slave Replication
5.005 Replica Set in MongoDB
5.006 Replica Set in MongoDB (contd.)
5.007 Automatic Failover
5.008 Replica Set Members
5.009 Priority 0 Replica Set Members
5.010 Hidden Replica Set Members
5.011 Delayed Replica Set Members
5.012 Delayed Replica Set Members (contd.)
5.013 Demo-Start a Replica Set
5.014 Demo-Start a Replica Set
5.015 Write Concern
5.016 Write Concern (contd.)
5.017 Write Concern Levels
5.018 Write Concern for a Replica Set
5.019 Modify Default Write Concern
5.020 Read Preference
5.021 Read Preference Modes
5.022 Blocking for Replication
5.023 Tag Set
5.024 Configure Tag Sets for Replica set
5.025 Replica Set Deployment Strategies
5.026 Replica Set Deployment Strategies (contd.)
5.027 Replica Set Deployment Patterns
5.028 Oplog File
5.029 Replication State and Local Database
5.030 Replication Administration
5.031 Demo-Check a Replica Set Status
5.032 Demo-Check a Replica Set Status
5.033 Sharding
5.034 When to Use Sharding
5.035 What is a Shard
5.036 What is a Shard Key
5.037 Choosing a Shard Key
5.038 Ideal Shard Key
5.039 Range-Based Shard Key
5.040 Hash-Based Sharding
5.041 Impact of Shard Keys on Cluster Operation
5.042 Production Cluster Architecture
5.043 Config Server Availability
5.044 Production Cluster Deployment
5.045 Deploy a Sharded Cluster
5.046 Add Shards to a Cluster
5.047 Demo-Create a Sharded Cluster
5.048 Demo-Create a Sharded Cluster
5.049 Enable Sharding for Database
5.050 Enable Sharding for Collection
5.051 Enable Sharding for Collection (contd.)
5.052 Maintaining a Balanced Data Distribution
5.053 Splitting
5.054 Chunk Size
5.055 Special Chunk Type
5.056 Shard Balancing
5.057 Shard Balancing (contd.)
5.058 Customized Data Distribution with Tag Aware Sharding
5.059 Tag Aware Sharding
5.060 Add Shard Tags
5.061 Remove Shard Tags
5.62 Quiz
5.063 Summary
5.064 Conclusion

Lesson 6 - Developing Java and Node JS Application with MongoDB

6.001 Developing Java and Node JS Application with MongoDB
6.002 Objectives
6.003 Capped Collection
6.004 Capped Collection Creation
6.005 Capped Collection Creation (contd.)
6.006 Demo-Create a Capped Collection in MongoDB
6.007 Demo-Create a Capped Collection in MongoDB
6.008 Capped Collection Restriction
6.009 TTL Collection Features
6.010 Demo-Create TTL Indexes
6.011 Demo-Create TTL Indexes
6.012 GridFS
6.013 GridFS Collection
6.014 Demo-Create GridFS in MongoDB Java Application
6.015 Demo-Create GridFS in MongoDB Java Application
6.016 MongoDB Drivers and Client Libraries
6.017 Develop Java Application with MongoDB
6.018 Connecting to MonogDB from Java Program
6.019 Create Collection From Java Program
6.020 Insert Documents From Java Program
6.021 Insert Documents Using Java Code Example
6.022 Demo-Insert a Document Using Java
6.023 Demo-Insert a Document Using Java
6.024 Retrieve Documents Using Java Code
6.025 Demo-Retrieve Document Using Java
6.026 Demo-Retrieve Document Using Java
6.027 Update Documents Using Java Code
6.028 Demo-Update Document Using Java
6.029 Demo-Update Document Using Java
6.030 Delete Documents Using Java Code
6.031 Demo-Delete Document Using Java
6.032 Demo-Delete Document Using Java
6.033 Store Images Using GridFS API
6.034 Retrieve Images Using GridFS API
6.035 Remove Image Using GridFS API
6.036 Remove Image Using GridFS API (contd..)
6.037 Connection Creation Using Node JS
6.038 Insert Operations Using Node JS
6.039 Insert Operations Using Node JS (contd.)
6.040 Demo-Perform CRUD Operation in Node JS
6.041 Demo-Perform CRUD Operation in Node JS
6.042 Demo-Perform Insert and Retrieve Operations Using Node JS
6.043 Demo-Perform Insert and Retrieve Operations Using Node JS
6.044 Update Operations Using Node JS
6.045 Retrieve Documents Using Node JS
6.046 Using DB Cursor to Retrieve Documents
6.047 Mongoose ODM Module in Node JS
6.048 Defining Schema Using Mongoose
6.049 Defining Schema Using Mongoose (contd.)
6.050 Demo-Use Mongoose to Define Schema
6.051 Demo-Use Mongoose to Define Schema
6.052 Demo-How to Run Node JS Using Mongoose
6.053 Demo-How to Run Node JS Using Mongoose
6.54 Quiz
6.055 Summary
6.056 Conclusion

Lesson 7 - Administration of MongoDB Cluster Operations

7.001 Administration of MongoDB Cluster Operations
7.002 Objectives
7.016 Memory-Mapped Files
7.017 Journaling Mechanics
7.018 Storage Engines
7.019 MMAPv1 Storage Engine
7.020 WiredTiger Storage Engine
7.021 WiredTiger Compression Support
7.022 Power of 2-Sized Allocations
7.023 No Padding Allocation Strategy
7.024 Diagnosing Performance Issues
7.025 Diagnosing Performance Issues (contd.)
7.026 Diagnosing Performance Issues (contd.)
7.027 Demo-Monitor Performance in MongoDB
7.028 Demo-Monitor Performance in MongoDB
7.029 Optimization Strategies for MongoDB
7.030 Configure Tag Sets for Replica Set
7.031 Optimize Query Performance
7.032 Monitoring Strategies for MongoDB
7.033 MongoDB Utilities
7.034 MongoDB Commands
7.035 MongoDB Management service (MMS)
7.036 Data Backup Strategies in MongoDB
7.037 Copying Underlying Data Files
7.038 Backup with MongoDump
7.039 Fsync and Lock
7.040 MongoDB Ops Manager Backup Software
7.041 Security Strategies in MongoDB
7.042 Authentication Implementation in MongoDB
7.043 Authentication in a Replica set
7.044 Authentication on Sharded Clusters
7.045 Authorization
7.046 End-to-End Auditing for Compliance
7.47 Quiz
7.048 Summary
7.049 Conclusion

Admission details

Filling the form

To get admission into MongoDB Certification Course, follow these steps:

Step 1 - Visit https://www.simplilearn.com/big-data-and-analytics/mongodb-certification-training

Step 2- Click on Enroll now button mentioned top on the right side

Step 3 - After clicking on enrol now button, you will be redirected to a new page

Step 4 - If you have a coupon, apply this or click on the Proceed button.

Step 5 - Provide the learner's details i.e name, email, and contact number, and click on proceed

Step 6 - At last pay the fee and save the receipt of the transaction.

Evaluation process

Candidates need to pass the MongoDB Developer Certification exam to become a certified MongoDB professional. It is an online test with multiple choice questions. The cost of the exam is USD 150. Moreover, the result of the exam is declared within one week of the examination.

How it helps

Since the industries’ data demands are on the rise, more professionals are required to provide solutions for efficient data handling and storage. Thus, the MongoDB Certification course helps the candidates to become ready for the industries ever-increasing data-centric problems.

As MongoDB Certification holder, candidates will be able to land a plum job of their choice in sectors such as retail, healthcare, media, financial services, and more. They can work as Big Data Architect, Big Data Developer, and Big Data Engineer with an annual salary of Rs. 20 lakhs.

FAQs

How long is the MongoDB certification valid for?

The MongoDB certificate is an industry-recognized certificate and has lifelong validity.

What certificate will I receive after passing the MongoDB Developer certification exam?

Once you pass the MongoDB Developer certification exam, you will receive the MongoDB Developer certificate in a PDF format. You will also receive a digital badge and a license number for certificate verification.

What is the duration of MongoDB certification exam?

Candidates get a total of 90 minutes to complete the certification exam.

What is the exam format of MongoDB Developer certification exam?

The MongoDB Developer certification exam has a multiple-choice format.

What job profiles are available with a MongoDB Certification Training Course by Simplilearn?

As a certified MongoDB professional, you can find ample work opportunities in sectors like social media, finance, healthcare, etc. You can work as a Big Data Architect, Big Data Engineer, or Big Data Developer.

Which companies hire certified MongoDB professional?

Some of the top companies which hire MongoDB certificate holders are Accenture, VISA, Amazon, Deloitte, Hewlett Packard Enterprise, and more.

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MongoDB Certification Training Course

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₹ 21420

Quick Facts

Course overview

The highlights

Program offerings

Course and certificate fees

Fees information

certificate availability

certificate providing authority

Who it is for

Eligibility criteria

What you will learn

The syllabus

MongoDB Developer and Administrator

Lesson 0 - Course Introduction

0.001 Course Introduction

0.002 Table of Contents

0.003 Objectives

0.004 Course Overview

0.005 Value to Professionals and Organizations

0.006 Course Prerequisites

0.007 Lessons Covered

0.008 Conclusion

Lesson 1 - Introduction to NoSQL databases

1.001 Lesson1 NoSQL database introduction

1.002 Objectives

1.003 What is NoSQL

1.004 What is NoSQL (contd.)

1.005 Why NoSQL

1.006 Difference Between RDBMS and NoSQL Databases

1.007 Benefits of NoSQL

1.008 Benefits of NoSQL (contd.)

1.009 Types of NoSQL

1.010 Key-Value Database

1.011 Key-Value Database (contd.)

1.012 Document Database

1.013 Document Database Example

1.014 Column-Based Database

1.015 Column-Based Database (contd.)

1.016 Column-Based Database (contd.)

1.017 Column-Based Database Example

1.018 Graph Database

1.019 Graph Database (contd.)

1.020 CAP Theorem

1.021 CAP Theorem (contd.)

1.022 Consistency

1.023 Availability

1.024 Partition Tolerance

1.025 Mongo DB as Per CAP

1.26 Quiz

1.027 Summary

1.028 Conclusion

Lesson 2 - MongoDB A Database for the Modern Web

2.001 Lesson 2 MongoDB-A Database for the Modern Web

2.002 Objectives

2.003 What is MongoDB

2.004 JSON

2.005 JSON Structure

2.006 BSON

2.007 MongoDB Structure

2.008 Document Store Example

2.009 MongoDB as a Document Database

2.010 Transaction Management in MongoDB

2.011 Easy Scaling

2.012 Scaling Up vs. Scaling Out

2.013 Vertical Scaling

2.014 Horizontal Scaling

2.015 Features of MongoDB

2.016 Secondary Indexes

2.017 Replication

2.018 Replication (contd.)

2.019 Memory Management

2.020 Replica Set

2.021 Auto Sharding

2.022 Aggregation and MapReduce

2.023 Collection and Database

2.024 Schema Design and Modeling