MongoDB Course Online

15 Lesson

30 Hours

15K+ Learners

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Build practical MongoDB skills with igmGuru's MongoDB Course Online. The course progresses from NoSQL fundamentals, documents, CRUD operations, querying, and data modeling to aggregation, indexing, transactions, application development, replication, sharding, security, MongoDB Atlas, backup, and modern MongoDB capabilities.

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MongoDB Training Overview

MongoDB Course Online at igmGuru provides structured learning from beginner to advanced MongoDB concepts. You will learn how to design document-based data models, perform database operations, build aggregation pipelines, improve query performance with indexes, manage transactions, develop applications with MongoDB drivers, and work with replication, sharding, security, Atlas, backup, and recovery. The course also introduces current capabilities such as Change Streams, Time Series Collections, MongoDB Search, Atlas Search, and Vector Search.

Prerequisites

Basic understanding of databases
Basic programming knowledge
Familiarity with JSON is helpful
Basic command-line knowledge is helpful
Understanding of basic CRUD concepts
No prior MongoDB experience required

What Will You Learn

Understand MongoDB and NoSQL database concepts
Work with MongoDB databases, collections, documents, and BSON
Perform CRUD operations using MongoDB
Build queries using filters, operators, projections, sorting, and pagination
Design MongoDB data models using embedded and referenced documents
Build aggregation pipelines for data analysis
Create and manage MongoDB indexes
Analyze query plans and improve query performance
Implement MongoDB transactions
Connect applications to MongoDB using drivers
Configure replica sets and understand high availability
Design and manage sharded MongoDB deployments
Apply authentication, authorization, and security controls
Work with MongoDB Atlas
Perform backup, recovery, monitoring, and administration tasks
Explore Change Streams and Time Series Collections
Understand MongoDB Search, Atlas Search, and Vector Search fundamentals

Who Should Do This Course

Software Developers
Backend Developers
Web Developers
Database Administrators
Data Engineers
Data Analysts
Cloud Engineers
Application Developers
Solution Architects
DevOps and Cloud Professionals
IT Professionals
Professionals moving from relational databases to MongoDB
Beginners who want to build MongoDB skills
Professionals preparing for MongoDB certification paths

MongoDB Courses

MongoDB Associate Developer

MongoDB Data Modeling

MongoDB Atlas Admin

MongoDB Certified DBA Associate

Key Features of This Course

Hands-On Lab Sessions with Practical Demonstrations
100% Job Assistance and Career Support
Course Material and Recorded Sessions Provided
Small Batch Sizes for Personalized Attention
Industry Project Experience with Real-World Scenarios
Interview Preparation and Resume Building Support
Instructor-Led Live Training with Real-Time Faculty
24x7 Lifetime Access to Course Content

MongoDB Training Modules

Lesson 1 - MongoDB Fundamentals

1. Introduction to MongoDB

2. NoSQL database concepts

3. MongoDB architecture

4. Document-oriented database model

5. Databases, collections, and documents

6. BSON and JSON

7. MongoDB use cases

8. MongoDB Atlas overview

9. MongoDB Compass

10. MongoDB Shell (mongosh)

Lesson 2 - MongoDB Setup and Database Environment

1. Installing MongoDB

2. MongoDB Server

3. MongoDB Shell

4. MongoDB Compass

5. Connecting to MongoDB

6. Creating databases

7. Creating collections

8. Viewing database and collection information

9. Basic MongoDB commands

10. Connection strings

Lesson 3 - MongoDB Documents and Data Types

1. MongoDB document structure

2. BSON data types

3. ObjectId

4. Strings and numbers

5. Boolean values

6. Dates

7. Arrays

8. Embedded documents

9. Null values

10. Nested fields

11. Working with complex documents

Lesson 4 - MongoDB CRUD Operations

1. Create operations

2. insertOne()

3. insertMany()

4. Read operations

5. find()

6. Query filters

7. Update operations

8. updateOne()

9. updateMany()

10. replaceOne()

11. Delete operations

12. deleteOne()

13. deleteMany()

14. Upsert operations

15. Bulk write operations

Lesson 5 - MongoDB Queries and Query Results

1. Comparison operators

2. Logical operators

3. Element operators

4. Array query operators

5. Querying nested documents

6. Querying arrays

7. Projection

8. Sorting

9. Limiting results

10. Skipping results

11. Counting documents

12. Distinct values

13. Query result modification

Lesson 6 - MongoDB Data Modeling and Schema Design

1. MongoDB data modeling principles

2. Identifying application data requirements

3. Data relationships

4. One-to-one relationships

5. One-to-many relationships

6. Many-to-many relationships

7. Embedded documents

8. Referenced documents

9. Embedding versus referencing

10. Schema design patterns

11. Designing around application workloads

12. Scaling a data model

Lesson 7 - MongoDB Aggregation Framework

1. Aggregation concepts

2. Aggregation pipelines

3. Pipeline stages

4. $match

5. $project

6. $set

7. $addFields

8. $group

9. $sort

10. $limit

11. $skip

12. $unwind

13. $lookup

14. $count

15. Aggregation expressions

16. Building analytical pipelines

17. Transforming and summarizing data

Lesson 8 - MongoDB Indexes and Query Performance

1. Index fundamentals

2. Single-field indexes

3. Compound indexes

4. Multikey indexes

5. Text indexes

6. Geospatial indexes

7. Creating and removing indexes

8. Index selection

9. Query plans

10. explain()

11. Covered queries

12. Query optimization

13. Index performance considerations

Lesson 9 - MongoDB Transactions and Application Data Integrity

1. MongoDB transaction concepts

2. Atomicity

3. Single-document atomicity

4. Multi-document transactions

5. Sessions

6. Read concerns

7. Write concerns

8. Read preferences

9. Transaction workflows

10. Transaction limitations and considerations

11. Error handling

Lesson 10 - MongoDB Application Development

1. MongoDB drivers

2. Application connectivity

3. Connection strings

4. Database users

5. CRUD operations from applications

6. Querying from applications

7. Working with MongoDB drivers

8. Connection management

9. Error handling

10. Application data access patterns

11. MongoDB integration with programming languages

Lesson 11 - MongoDB Replication and High Availability

1. Replica set architecture

2. Replica set members

3. Primary and secondary members

4. Replication

5. Elections

6. Automatic failover

7. Read preferences

8. Write concerns

9. Replica set configuration

10. Replication monitoring

11. High-availability design

Lesson 12 - MongoDB Sharding and Horizontal Scaling

1. Sharding concepts

2. Sharded cluster architecture

3. Shard keys

4. Choosing an appropriate shard key

5. Config servers

6. mongos query routers

7. Data distribution

8. Balancing

9. Hashed sharding

10. Range-based sharding

11. Zones

12. Horizontal scaling

13. Sharding considerations

Lesson 13 - MongoDB Security and Administration

1. Authentication

2. Authorization

3. Role-Based Access Control

4. Database users

5. Built-in roles

6. Custom roles

7. TLS/SSL

8. Network security

9. Encryption concepts

10. Security configuration

11. Database administration

12. Monitoring

13. Logs and diagnostics

14. Database maintenance

Lesson 14 - MongoDB Atlas, Backup, and Cloud Operations

1. MongoDB Atlas

2. Atlas cluster deployment

3. Atlas database users

4. Network access

5. Atlas security

6. Atlas monitoring

7. Cluster configuration

8. Atlas UI

9. Atlas CLI

10. Backup and restore

11. Data export and import

12. Database recovery

13. Monitoring Atlas deployments

14. Operational maintenance

Lesson 15 - Advanced MongoDB Features and Modern Applications

1. Change Streams

2. Time Series Collections

3. MongoDB Search

4. Atlas Search

5. Search indexes

6. Search queries

7. Geospatial search

8. Vector Search fundamentals

9. Embeddings

10. Semantic search

11. Retrieval-Augmented Generation concepts

12. MongoDB for AI applications

13. Modern application architecture

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MongoDB Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 20 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 16 Nov 2026
Weekday Batch 16 Nov 2026
Weekend Batch 21 Nov 2026

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MongoDB Certification Training

After successfully completing MongoDB Course Online, igmGuru provides a Course Completion Certificate to recognize successful completion of the training program. This certificate is issued by igmGuru and is separate from an official MongoDB certification.

MongoDB Online Training FAQ's

What is MongoDB?

MongoDB is one of the top NoSQL databases. It stores data in a highly flexible and document-oriented format. This format is apt for handling gigantic volumes of unstructured data.

Who is this MongoDB course apt for?

This MongoDB course is best for data professionals, database administrators, developers, and anyone who is interested in learning more about NoSQL DBs.