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MongoDB Training in Pune

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  • Classes for Both Beginners and Experts.
  • Delivered by a 10+ Year Certified MongoDB Expert.
  • Recruiting 350+ Clients & Training 14302+ Students.
  • Unlimited Access to the Student Portal and Study Resources.
  • Low Costs and the Best Curriculum From an Expert in MongoDB.
  • Next MongoDB Batch to Begin this week – Enroll Your Name Now!


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08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session


Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session


Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session


Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

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Online Courses by Certified Experts

MongoDB Course: Building Modern and Scalable Databases

  • One of the most widely used NoSQL databases is MongoDB industry, making this course highly relevant for career growth.
  • It caters to programmers, data analysts, and database administrators, providing tools and techniques applicable to various roles.
  • With online availability, learners can access materials and lectures at their own pace, making it suitable for busy professionals and students.
  • The MongoDB Course emphasizes hands-on learning with real-world projects, ensuring practical experience and knowledge retention.
  • Enrolling in this course can provide a competitive edge in the job market and open up exciting career opportunities in database management.
  • The course offers access to an online community for interaction with instructors and peers, facilitating questions, discussions, and sharing insights.
  • The course offers a comprehensive understanding of MongoDB and its functionalities, making it suitable for both beginners and experienced professionals.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

What advantages does MongoDB offer?

  • Flexible Data Model
  • Horizontal Scalability
  • High Performance
  • Rich Query Language
  • JSON-Like Documents
  • MongoDB Fundamentals
  • Data Modeling
  • Query Optimization
  • Indexing Strategies
  • Replication and Sharding
  • Career Growth in Database Management
  • Proficiency in a Leading NoSQL Database
  • Industry-Recognized Certification
  • Building Scalable and High-Performance Databases
  • Keeping Abreast of Database Trends
  • Database Administrators
  • Database Developers
  • Data Engineers
  • Full-Stack Developers
  • DevOps Engineers
Yes, practical exercises are an integral part of MongoDB training. These exercises often involve tasks like database setup, data modeling, query optimization, and building real-world applications.
  • MongoDB Compass (GUI)
  • MongoDB Shell (CLI)
  • mongodump and mongorestore (Backup and Restore)
  • mongotop and mongostat (Performance Monitoring)
  • MongoDB Atlas (Cloud-Based Management)
  • MongoDB Ops Manager (Advanced Management)
  • Studio 3T (Third-Party GUI)
Most MongoDB courses do not have specific prerequisites, but having a basic understanding of database concepts and programming can be beneficial.
Yes, MongoDB training is an excellent choice for a career in database management and development, especially in the rapidly growing field of NoSQL databases.

Who should learn MongoDB?

MongoDB is valuable for anyone interested in database management and development, including aspiring and experienced database administrators, developers, and data professionals.

Is training in MongoDB absolutely necessary?

While not mandatory, MongoDB training can significantly accelerate your proficiency in using this powerful NoSQL database and help you excel in your career.

Mention some training resources for MongoDB

  • MongoDB Official Documentation
  • Online Courses and Tutorials
  • MongoDB Community Forums
  • MongoDB University (Certification)
  • MongoDB Books and eBooks
  • Practical Projects and Case Studies
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Learn MongoDB: Mastering NoSQL Database Management

The well-known and potent NoSQL database management system MongoDB was created for adaptability, scalability, and simplicity of use. Since MongoDB is a document-oriented database as opposed to conventional relational databases, it stores data in the adaptable, semi-structured BSON format (Binary JSON). Because of its structure, Learn MongoDB highly suited for big data, real-time data analytics, and current web applications. It can handle massive volumes of unstructured or semi-structured data. One of MongoDB's primary benefits is its ability to scale horizontally, which enables businesses to simply add extra servers to meet their expanding data and traffic needs.

Additional Info

Roles and Responsibilities of MongoDB:

Here's an overview of common MongoDB roles and their responsibilities:

Database Administrator (DBA):

  • Installation and Configuration: Install, configure, and maintain MongoDB servers and clusters.
  • Backup and Recovery: Set up and manage backup and recovery strategies to ensure data protection and availability.
  • Performance Optimization: Monitor server performance, and identify bottlenecks, and optimize MongoDB for efficient operations.
  • Security Management: Implement security measures, including authentication, authorization, and encryption, to safeguard data.
  • Scaling: Plan and execute scaling strategies, such as adding replica sets or sharding, to accommodate data growth.
  • Maintenance: Perform routine maintenance tasks like applying patches, managing indexes, and optimizing storage.

Database Developer:

  • Schema Design: Design and develop MongoDB data schemas that align with application requirements.
  • Query Optimization: Create and optimize queries for efficient data retrieval and manipulation.
  • Data Transformation: Use MongoDB's query and aggregation framework to perform data transformations and analysis.
  • Integration: Learn MongoDB with application code using appropriate drivers and libraries.
  • Performance Tuning: Collaborate with DBAs to fine-tune database performance based on application needs.
  • Data Migration: Plan and execute data migrations as necessary.

Data Architect:

  • Data Modeling: Design and architect data models that meet business and application needs.
  • Schema Validation: Implement schema validation rules to ensure data consistency and quality.
  • Indexing Strategy: Define indexing strategies to optimize query performance.
  • Scaling Strategy: Work with DBAs to plan and execute scaling strategies, including sharding and replica sets.
  • Data Governance: Establish data governance policies and ensure compliance with data regulations.

DevOps Engineer:

  • Deployment Automation: Automate MongoDB cluster deployment and scaling processes.
  • Continuous Integration/Continuous Deployment (CI/CD): Integrate MongoDB into CI/CD pipelines for automated testing and deployment.
  • Monitoring and Alerting: Set up monitoring solutions to track database health and performance, and configure alerts.
  • Infrastructure Management: Manage the underlying infrastructure, including cloud-based resources if applicable.
  • Security Compliance: Ensure database security and compliance with organizational policies.

Application Developer:

  • API Integration: Use MongoDB drivers to interact with the database within the application code.
  • Data Access Layer: Develop and maintain the data access layer of applications, including CRUD operations.
  • Error Handling: Implement error handling and exception management for database interactions.
  • Optimization: Write efficient code that leverages MongoDB features for improved performance.
  • Security: Adhere to security best practices when interacting with the database.

Security Administrator:

  • Access Control: Manage user roles, permissions, and authentication mechanisms within MongoDB.
  • Security Auditing: Monitor and audit database activities to detect and respond to security threats.
  • Data Encryption: Implement encryption for data at rest and data in transit.
  • Compliance: Ensure compliance with industry and regulatory security standards.

Data Analyst:

  • Data Retrieval: Query MongoDB databases to extract relevant data for analysis.
  • Reporting: Create reports and visualizations based on MongoDB data.
  • Data Transformation: Perform data transformations and aggregations to prepare data for analysis.
  • Performance Analysis: Analyze database performance and provide insights for optimization and decision-making.

Data Scientist:

  • Advanced Analytics: Utilize MongoDB's data for advanced analytics, machine learning, and predictive modeling.
  • Data Exploration: Explore large datasets, extract insights, and generate data-driven recommendations.
  • Model Building: Develop and train machine learning models using MongoDB data.
  • Visualization: Create visualizations and dashboards to communicate analytical findings effectively.

Tools used in MongoDB:

MongoDB offers a variety of tools and utilities to help users manage, develop, and administer MongoDB databases effectively. Here are some of the commonly used MongoDB tools:

MongoDB Compass:

  • MongoDB's official GUI (Graphical User Interface) tool.
  • Provides a visual interface for database exploration, query building, and data manipulation.
  • Offers features for schema visualization, performance optimization, and real-time data monitoring.

Mongo Shell:

  • MongoDB's native command-line interface (CLI) for interacting with the database.
  • Allows users to execute queries, manage databases, and perform administrative tasks.

Mongodump and Mongorestore:

  • Command-line tools for creating database backups (mongodump) and restoring data from backups (mongorestore).
  • Useful for data migration, backup, and recovery tasks.

Mongotop and Mongostat:

  • Command-line utilities for monitoring MongoDB server performance.
  • mongotop provides real-time information on disk I/O usage, while mongostat offers various server statistics.

MongoDB Atlas:

  • MongoDB's cloud-based database service that provides automated database management, scaling, and backups.
  • Offers a web-based user interface for managing MongoDB clusters in the cloud.

MongoDB Ops Manager:

  • A management platform for MongoDB that provides monitoring, automation, and backup features.
  • Helps with performance optimization, scaling, and troubleshooting.

NoSQLBooster for MongoDB:

  • A third-party GUI tool for MongoDB with features like query building, code generation, and schema visualization.
  • Supports multiple platforms, including Windows, macOS, and Linux.

Robo 3T (formerly Robomongo):

  • A free and open-source GUI tool for MongoDB.
  • Offers a user-friendly interface for database management, query execution, and data visualization.

Studio 3T:

  • A commercial MongoDB GUI tool that provides advanced features for database development and administration.
  • Includes a SQL to MongoDB query translator and schema exploration tools.


  • A web-based MongoDB administration tool that can be installed on a web server.
  • Provides a browser-based interface for managing MongoDB databases.
  • MMS (MongoDB Monitoring Service):

    • A monitoring and alerting service provided by MongoDB, Inc. (now part of MongoDB Atlas).
    • Offers real-time performance monitoring, automated alerts, and historical data analysis.

    Percona Monitoring and Management (PMM):

    • While not specific to MongoDB, PMM is a popular open-source monitoring and management tool that can be used to monitor MongoDB along with other databases.
    • Offers detailed performance metrics, query analysis, and alerting capabilities.

    Future Trends of MongoDB:

    MongoDB continues to evolve, and several future trends are expected to shape its development and adoption. Here are some key trends to watch for in the future of MongoDB:

    • Multi-Model Databases: MongoDB has been primarily known as a document-oriented NoSQL database, but future trends may see it expanding its support for other data models, such as key-value, graph, or column-family, within a single database platform. This would provide more flexibility in data modeling and access.
    • Enhanced Security Features: Security is a top concern for organizations, and MongoDB is expected to continually enhance its security features. This may include improved encryption options, access control, auditing, and integration with authentication protocols like OAuth.
    • Advanced Analytics and Machine Learning: MongoDB is likely to integrate more closely with analytics and machine learning frameworks, allowing organizations to perform advanced Teradata and predictive modeling directly within the database, reducing data movement.
    • IoT and Time-Series Data: As the Internet of Things (IoT) continues to grow, MongoDB is expected to provide better support for time-series data storage and analysis. This will enable organizations to efficiently manage and analyze large volumes of IoT data.
    • Serverless Computing Integration: Integration with serverless computing platforms like AWS Lambda or Azure Functions may become more seamless, allowing developers to build serverless applications that interact with MongoDB without managing server infrastructure.
    • Global Data Distribution: With an increasing need for data to be available globally, MongoDB is likely to improve its support for multi-region and multi-cloud deployments, enabling better data distribution and replication across different geographic locations.
    • Kubernetes and Containerization: MongoDB's compatibility with containerization technologies like Docker and orchestration platforms like Kubernetes is expected to become more robust, simplifying database deployment and management in containerized environments.
    • Performance and Scalability: MongoDB will likely continue to invest in performance optimizations and scalability enhancements, ensuring it can handle ever-increasing workloads efficiently.
    • Integration with Cloud Services: MongoDB's integration with cloud services like AWS, Azure, and Google Cloud will deepen, allowing organizations to leverage cloud-native features and benefits seamlessly.
    • Data Lake Integration: MongoDB's integration with data lakes and data warehouses is expected to improve, enabling Using a combination of organised and semi-structured data, and organizations can more comprehensive analytics.
    • Community and Ecosystem Growth: The MongoDB community and ecosystem are likely to grow further, leading to more third-party tools, libraries, and extensions that enhance MongoDB's capabilities.
    • Low-Code/No-Code Integration: MongoDB may introduce low-code/no-code development features and tools to simplify application development and database management for users with varying levels of technical expertise.
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Key Features

ACTE Pune offers MongoDB Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


Syllabus of MongoDB Training in Pune
Module 1: Introduction to NoSQL & MongoDB
  • NoSQL
  • Key Value Stores
  • Document Databases
  • Wide - Column Stores
  • Graph Stores
  • What Drives NoSQL
  • Evalution of NoSQL
  • NoSQL vs RDBMS
  • MongoDB
  • MongoDB Features
Module 2: MongoDB - Installation
  • MongoDB Installation
Module 3: MongoDB SES2 Database
  • Mongo Shell & Mongo Compass
  • MongoDB Database
  • MongoDB Collection
  • List of Options
  • MongoDB Documents
  • Introduction to JSON and BSON Documents
  • MongoDB DataTypes
Module 4: MongoDB SES3 Datatypes & Curd Operators
  • MongoDB Datatypes
  • Basic Commands
  • Insert Document
  • Difference between Insert, insert One, and Insert Many
  • Query Document
  • Query Document with Conditions
  • Update Document
  • Delete Document
Module 5: Data Modeling And Model Tree Structures
  • DataModeling
  • Why use DataModel
  • Types of Data Models
  • MongoDB Data Model
  • Challenges for Data Modeling in MongoDB
  • Model Relationships
  • Model Tree Structures
  • Model Specific Application Contexts
Module 6: Projections & Indexing
  • Model Specific Application Contexts
  • Projection
  • Limit & Skip Method
  • MongoDB sort method
  • MongoDB count method
Module 7: Aggregation
  • Aggregation
  • Aggregation Pipeline
Module 8: Replication
  • Replication
  • Why Replication
  • How Replication Works in MongoDB
  • Automatic Failover
  • How to setup Replication in MongoDB
Module 9: Sharding
  • Sharding
  • Sharded Cluster
  • Query Router
  • Hashed Sharding
  • Ranged Sharding
Module 10: Database Management
  • Dump MongoDB Data
  • Practical Demonstration of how to backup MongoDB Data
  • Mongo import with JSON
  • Practical explanation how to import with JSON
  • Mongo import with CSV
  • Practical explanation Mongo import with CSV
  • MongoExport with JSON or CSV
Module 11: Runtime Database Management
  • Runtime Database Configuration
  • Runtime Database Configuration
  • Upgrade to the Latest Version of MongoDB
  • Major and Minor Upgrades
  • MongoDB Ops Manager
Module 12: Authentication, User & Roles
  • Authentication & Authorization
  • Authentication Methods
  • Authentication
  • User Management Methods
  • Role-Based Access Control
  • Built-in-Roles
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Need customized curriculum?

Hands-on Real Time MongoDB Projects

Project 1
Payroll Management System Database Project

This Project deals with the financial aspects of the employees of the organization like salary, allowances, deduction etc.

Project 2
Health Care Organization Database Project

This Project manage the information of the patients, doctors, billing and payment processing.

Obtain Our Inventive MongoDB Job Opportunities

ACTE Pune offers placement opportunities as add-on to every student / professional who completed our classroom or online training.
  • Our candidates have excellent employment possibilities in reputable companies like Wipro, Accenture, CTS, Siemens, and Dell.
  • Working on actual projects gives MongoDB Placement participants a chance to make a difference and produce tangible results.
  • With MongoDB Job opportunity, you may get practical exposure to this cutting-edge technology while working with one of the most inventive and potent databases.
  • MongoDB Placement increases participants' chances of securing top employment by exposing them to potential employers and fostering industry relationships.
  • For anyone interested in a career in database management, knowing how to use MongoDB's versatile and scalable platform to manage massive volumes of data is an invaluable ability.
  • The program gives participants access to a group of seasoned professionals who offer direction, technical support, and career counseling, assisting participants while they seek employment.
  • The demand for knowledgeable database management specialists is growing as MongoDB becomes more well-known, making MongoDB Placement a doorway to intriguing work prospects in the sector.

Sustain Our Intelligent MongoDB Certification

MongoDB Certification is a prestigious program offered by MongoDB, Inc. It serves as a validation of an individual's expertise in MongoDB, one of the most prominent NoSQL databases in the industry. This certification program is tailored for professionals who seek to solidify their MongoDB skills and gain recognition for their knowledge in the field of data management. Covering a wide array of critical topics such as data modeling, indexing, query optimization, replication, sharding, and security, MongoDB ensures that certified individuals possess a comprehensive understanding of MongoDB's robust features and capabilities. A Certification not only enhances one's credibility but also paves the way for exciting career opportunities.

  • Industry Recognition
  • Validation of Proficiency
  • Enhanced Career Prospects
The duration of MongoDB certification courses varies depending on the specific certification and prior knowledge. However, here are some general timeframes:
  • MongoDB Developer Certification: Usually takes around 2-3 months of preparation.
  • Advanced MongoDB Certification: This may require an additional 1-2 months of in-depth training.
  • MongoDB Certified Developer
  • Advanced MongoDB Certified Developer
  • MongoDB Certified Administrator
  • MongoDB Certified Database Administrator
  • MongoDB Certified Solutions Architect
  • MongoDB Certified Data Engineer
While MongoDB Certifications enhance job opportunities and showcase your skills, securing a job also depends on various factors such as the job market, interview performance, and overall qualifications.

Generally, professional MongoDB Certification courses do not have strict educational prerequisites. However, having a background in database management, programming, and general IT knowledge can be beneficial. Specific requirements may vary based on the certification level and course content.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

Get Certified

Enhance Your Career With Our MongoDB Experts

  • MongoDB trainers are highly skilled professionals with in-depth knowledge of the database, ensuring they can provide comprehensive training.
  • MongoDB Experts focus on real-world scenarios, offering hands-on exercises and examples to help learners apply MongoDB concepts effectively.
  • Recognizing diverse learning styles, trainers customize their teaching methods to meet the unique needs and preferences of each student.
  • They have a talent for simplifying complex concepts, making MongoDB easy to understand, and they stay updated with the latest advancements.
  • They are passionate about MongoDB and create engaging, interactive, and enjoyable MongoDB Training in Pune that encourage questions, exploration, and creativity.
  • MongoDB trainers are patient, supportive, and dedicated to helping students succeed in their MongoDB journey, fostering a positive learning environment.
  • MongoDB trainers cater to learners of all levels, from beginners to experienced developers, ensuring personalized guidance based on individual skill levels.

MongoDB Course Reviews

Our ACTE Pune Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

Farzana J


i had completed Mongo DB courses here the overall experience was too good. The staffs were very well equipped. Their attitude towards the students was very humble . It is a very nice place to learn. I had spent a quality time over there .


I had attended MongoDB training at ACTE in Pune. Based one of my friend suggested that if you want to learn from scratch to advance level with clear concept then go for this institute. So I joined here at the time of training assignments and interview questions are helpful for regular practice and helpful to crack interviews.

David Thilak

The training for "Mongo DB" was detailed and elaborate . The trainer Mr.Sakthi was very good in explaining the concepts . He provided insights about many concepts that were tough to understand. Good learning experience ?

Meera Gokul


I just had Mongo DB training in ACTE @ Porur . All sessions went well and training was intreractive and intresting. They have covered all concepts relating to Mongo DB it was a good experience. Thanks to ACTE at Bangalore.

Seetha Eshwar

Software Testing

I have joined Mongo DB course here..The trainer was excellent! He has an in in-depth understanding and experience in Mongo DB... It is use full to learn great amount of information about this course... Very good training taken here..

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MongoDB Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire MongoDB training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn MongoDB Course At ACTE?

  • MongoDB Course in ACTE is designed & conducted by MongoDB experts with 10+ years of experience in the MongoDB domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each MongoDB batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in MongoDB. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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