DataBase
MongoDB Certification Training
The goal of MongoDB Certification Training is to instruct students in the use of MongoDB, a popular NoSQL database. It prepares participants for real-world projects and industry-recognized certification by covering database design, CRUD operations, indexing, aggregation, replication, sharding, and performance optimization.
5/5(4,890 Reviews)
Level
Intermediate
Duration
8 Weeks
What is MongoDB Certification Training?
The extensive MongoDB Certification Training program gives students the know-how to use MongoDB, one of the most well-liked NoSQL databases, to design, develop, and administer contemporary applications. MongoDB is perfect for managing unstructured, semi-structured, and quickly changing datasets because, in contrast to relational databases, it stores data in flexible, JSON-like documents.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks
The candidate will get access to the presentation taken-up during the session.
Notes
Consolidated notes in word document.
Assignments
Assignments for every module will be covered.
MCQs
MCQs for every module covered in the session would be provided.
Video Recording
Daily Session would be recorded and shared to the candidate.
Dumps for Certification
We will provide dumps for the certification exam, which will help you to prepare for the exam.
Updated Content
We provide Generative AI Driven content By experts.
Projects
3 Live Projects will be provided for practice.
MongoDB Certification Training Course Curriculum
.
Introduction to NoSQL & MongoDB
Section 1
Discover the foundations of NoSQL databases, how they differ from relational databases, and how MongoDB's document-oriented model works.
Overview of Databases
What is NoSQL?
Introduction to MongoDB
MongoDB vs. RDBMS
MongoDB Features & Advantages
MongoDB Architecture Basics
.
CRUD Operations
Section 2
Learn how to effectively create, read, update, and delete data using the robust query language offered by MongoDB.
Creating and Inserting Documents
Reading and Querying Data
Updating and Deleting Documents
Using Operators and Expressions
Working with Arrays and Embedded Documents
.
Data Modeling and Schema Design
Section 3
Learn how to effectively create, read, update, and delete data using the robust query language offered by MongoDB.
Understanding BSON and JSON
Designing Efficient Schemas
Data Relationships (Embedded vs Referenced)
One-to-One, One-to-Many, and Many-to-Many Modeling
Schema Validation and Best Practices
.
Indexing and Performance Optimization
Section 4
Optimize database performance by using performance analysis, query tuning, and efficient indexing strategies.
Index Types (Single, Compound, Multikey, Text, Geospatial)
Creating and Managing Indexes
Query Optimization and Explain Plans
Performance Tuning Techniques
Handling Large Data Sets
.
Aggregation Framework
Section 5
Utilize the MapReduce framework and MongoDB's aggregation pipelines to analyze and transform data.
Introduction to Aggregation Pipelines
Stages and Operators in Aggregation
Grouping, Filtering, and Sorting Data
MapReduce in MongoDB
Real-world Data Analysis Examples
.
Data Replication and Sharding
Section 6
Use sharding and replication techniques to guarantee high availability and scalability.
Concept of Replication in MongoDB
Setting Up Replica Sets
Failover and Election Process
Sharding Concepts and Architecture
Configuring and Managing Sharded Clusters
.
MongoDB Security and Backup
Section 7
Protect your MongoDB environment with strong backup options, encryption, and authentication.
Authentication and Authorization
Role-Based Access Control (RBAC)
Data Encryption and Auditing
Backup and Restore Strategies
MongoDB Atlas Security Features
.
MongoDB Atlas Security Features
Section 8
Learn how to effectively manage, monitor, and maintain MongoDB databases with practical experience.
Monitoring and Logging
Managing Databases and Collections
Upgrading and Scaling MongoDB
Troubleshooting and Diagnostics
Automation and Maintenance Best Practices
.
MongoDB with Programming Languages
Section 9
Integrate MongoDB with Python, Node.js, and other programming languages to create dynamic, data-driven applications.
MongoDB with Python (PyMongo)
MongoDB with Node.js (Mongoose)
MongoDB with Java and C#
Connecting MongoDB with Applications
Building REST APIs using MongoDB
.
MongoDB Cloud and Advanced Tools
Section 10
Use MongoDB Atlas and cutting-edge tools to scale, deploy, and visualize cloud databases.
Introduction to MongoDB Atlas
Managing Clusters on Atlas
Integrating with AWS, Azure, GCP
Using Charts and Compass for Visualization
Advanced Cloud Deployments
.
Capstone Project and Certification Preparation
Section 11
Use what you've learned in a practical project and get professional help to get ready for the MongoDB certification tests.
Real-world Project on MongoDB Implementation
Schema Design and Data Management Project
Query and Performance Optimization Task
Mock Tests and Interview Preparation
Certification Exam Tips and Practice
Key Projects
MongoDB Certification Training
E-Commerce Product Catalog
Create and put into use a database to handle orders, customers, categories, and products. Utilize MongoDB's adaptable schema to effectively manage user reviews, order histories, and product variations.
Content Management System (CMS)
Create a CMS database to hold authors, tags, comments, and articles. Use MongoDB's document model to facilitate quick search capabilities and dynamic content structures.
Real-Time Analytics Dashboard
Make a dashboard powered by MongoDB to monitor system logs, user activity, and website traffic. Create real-time reports and insights for decision-making by utilizing the aggregation framework.
MongoDB Certification Training – Associate Training Program
Category
Associate
Exam Name:
MongoDB Certification Training – Associate
Exam Code:
N.A.
Exam Duration:
N.A.
Exam Format:
N.A.
Passing Score:
N.A.
Our Testimonials
Frequently Asked Questions (FAQs)
What is MongoDB Certification Training?
A structured program called MongoDB Certification Training instructs students on how to use the well-known NoSQL database MongoDB. In order to prepare participants for real-world projects and MongoDB certification exams, it covers database design, CRUD operations, indexing, aggregation, replication, sharding, security, and performance optimization.
How is MongoDB different from traditional SQL databases?
MongoDB is perfect for managing large and complex data because it stores information in flexible documents that resemble JSON, as opposed to SQL databases that use tables and rows.
Is MongoDB a good career skill for 2026 and beyond?
yes! MongoDB developers and administrators are in great demand worldwide due to the growth of big data and cloud-based applications.
What career opportunities open up after completing MongoDB training with Tech Pratham?
Top IT companies offer positions like MongoDB Developer, Database Administrator, Data Engineer, and Backend Engineer.
What tools and environments are covered in this MongoDB Certification Training?
For application development, you'll work with MongoDB Compass, Atlas, Shell, and integration tools like PyMongo and Mongoose.
Is MongoDB suitable for both startups and enterprise-level applications?
Of course! Startups and multinational corporations like Adobe, Uber, and eBay favor MongoDB because of its scalability and flexibility.
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