CMA512

Certified MongoDB Associate Developer Course

Q: What will I learn in this MongoDB and Node.js course?

This comprehensive course covers the integration of MongoDB and Node.js for building robust applications. You'll learn NoSQL database fundamentals, MongoDB architecture and installation, Node.js setup and development, CRUD operations, data modeling, indexing strategies, building RESTful APIs with Express.js, user authentication with JWTs, testing with Mocha and Chai, and performance optimization. The course culminates in a capstone project where you'll build a complete application from scratch.

Q: What are the prerequisites for this course?

This is a beginner-level course designed for students, entry-level professionals, and engineers. While no specific MongoDB or Node.js experience is required, having basic programming knowledge and familiarity with JavaScript concepts will be beneficial. An undergraduate-level qualification is recommended to fully grasp the technical concepts covered.

Q: Will I receive a certification upon completion?

Yes, this course is certified and upon successful completion, you will earn the 'Certified MongoDB Associate Developer' certification. This certification validates your skills in MongoDB development and Node.js integration, making you more competitive in the job market.

Q: How long does the course take to complete and what is the format?

The course is designed as a 5-day intensive program. It combines multiple learning methodologies including lectures, slide presentations, hands-on labs, group assignments, Q&A sessions, and a final exam. This varied approach ensures both theoretical understanding and practical application of the concepts.

Q: What practical skills will I gain from this course?

You'll gain hands-on experience in designing efficient data models, integrating MongoDB with Node.js applications, implementing CRUD operations, building RESTful APIs, optimizing query performance through indexing, implementing authentication and authorization mechanisms, and developing secure, scalable applications. The course emphasizes practical application through labs and real-world scenarios.

Q: How does this course prepare me for real-world development?

The course is structured to provide practical, industry-relevant skills through hands-on labs, real-world scenarios, and a comprehensive capstone project. You'll learn essential development practices including error handling, testing methodologies, performance tuning, and security implementation. By the end, you'll have built a complete application demonstrating your ability to leverage MongoDB and Node.js for scalable application development.

Q: What makes this course different from other MongoDB or Node.js courses?

This course uniquely focuses on the integration of MongoDB and Node.js, rather than teaching them separately. It provides a comprehensive journey from NoSQL fundamentals to advanced topics like performance optimization and security. The combination of theoretical knowledge, practical labs, group assignments, and a capstone project ensures you gain both depth and breadth in these technologies, preparing you for professional development roles.

Q: Where is the training conducted?

Our online trainings are conducted usually using Zoom or Google Meet. Our physical trainings are normally held in Common Ground, Bangsar South .

Q: Can international participants join this course?

Please check the Available in section to see which countries the course is available in. If your country is not listed, please contact us.

Q: What is the difference between public, corporate, and training provider pricing?

Public pricing : applies for individuals signing up from different companies. Corporate pricing : applies if a company wants to have an intake for its employees only. Training provider pricing : applies only for other training providers looking to hire our trainers and use our content. Our content has a licensing fee.

Master MongoDB development skills under expert guidance. Join our all-encompassing training program designed specifically for this course to gain a complete skill set in database management and application development.

Available in:
Malaysia

Created: December 17th 2024, 10:10 AM MYT Last Modified: October 27th 2026, 6:00 AM MYT

beginner

We price match

Public Pricing

MYR 8750

Corporate Pricing

Pax:

Training Fees: MYR 6500/day

Total Fees: MYR 32500 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day

Material Fees: MYR 400

Total Fees: MYR 12400 ++

Certification

Certified MongoDB Associate Developer

MongoDB

Validity: 2 years

Features

5 days

40 modules

Full life-time access

English

Technical: 25 pax

Target Audience

students

engineers

Methodologies

lecture

slides

labs

group assignment

exam

q&A

Subsidies

What you'll learn

Design efficient data models following best practices for schema design.
Integrate MongoDB with Node.js applications using the appropriate drivers.
Optimize query performance through effective indexing strategies.
Understand the differences between SQL and NoSQL databases.
Install and configure MongoDB and Node.js for development purposes.
Implement basic CRUD operations within a Node.js environment.
Build RESTful APIs using Express.js integrated with MongoDB.
Develop secure applications by implementing authentication and authorization mechanisms.

Why should you attend?

This course provides a comprehensive journey through the world of MongoDB and Node.js, focusing on their integration to build robust applications. Beginning with an overview of NoSQL databases, learners will understand the fundamental differences between SQL and NoSQL, alongside the unique benefits that NoSQL databases offer. This foundational knowledge sets the stage for a deep dive into MongoDB, where participants will explore its architecture, features, and installation process. As the course progresses, students are introduced to Node.js, learning about its architecture and how to set it up effectively. The integration of MongoDB with Node.js is a key focus area, equipping learners with the skills to connect these technologies seamlessly using the MongoDB Node.js driver. Practical sessions on setting up development environments using npm and IDEs ensure that participants can efficiently manage their projects. The curriculum also covers essential topics such as JSON and BSON formats, CRUD operations in MongoDB, data modeling principles, indexing strategies, and advanced querying techniques. Through hands-on labs and real-world scenarios, students gain practical experience in implementing these concepts. Advanced modules delve into building RESTful APIs with Express.js, user authentication using JWTs, data validation techniques, error handling, testing methodologies with Mocha and Chai, and performance tuning strategies. The course culminates in a capstone project where learners apply their acquired skills to develop a full-fledged application from scratch. By the end of this course, participants will have a solid understanding of how to leverage MongoDB and Node.js for scalable application development while ensuring optimal performance and security.

Course Syllabus

Day 1 - NoSQL and MongoDB Fundamentals

Module 1

Module 2

Short Break

15 mins

Module 3

Module 4

Recap and Q&A

15 mins

Lunch

1 hour

Module 5

Module 6

Short Break

15 mins

Module 7

Module 8

Recap and Q&A

15 mins

End of Day 1

Day 2 - Node.js Integration Setup

Module 9

Module 10

Short Break

15 mins

Module 11

Module 12

Recap and Q&A

15 mins

Lunch

1 hour

Module 13

Module 14

Short Break

15 mins

Module 15

Module 16

Recap and Q&A

15 mins

End of Day 2

Day 3 - CRUD Operations and Modeling

Module 17

Module 18

Short Break

15 mins

Module 19

Module 20

Recap and Q&A

15 mins

Lunch

1 hour

Module 21

Module 22

Short Break

15 mins

Module 23

Module 24

Recap and Q&A

15 mins

End of Day 3

Day 4 - Advanced Querying and Indexing

Module 25

Module 26

Short Break

15 mins

Module 27

Module 28

Recap and Q&A

15 mins

Lunch

1 hour

Module 29

Module 30

Short Break

15 mins

Module 31

Module 32

Recap and Q&A

15 mins

End of Day 4

Day 5 - Compass and Optimization

Module 33

Module 34

Short Break

15 mins

Module 35

Module 36

Recap and Q&A

15 mins

Lunch

1 hour

Module 37

Module 38

Short Break

15 mins

Module 39

Module 40

Recap and Q&A

15 mins

End of Day 5

Ratings and Reviews

( 0 ratings )

( 0 reviews )

Instructor

Mohammad Mehdi Lotfinejad Chief Data Officer & Data Science Trainer

Trainer Profile

TTT Certificate

Mohammad Mehdi Lotfinejad is a distinguished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science training. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, he leads the development of sophisticated graph databases, data warehouses, and API solutions that power AI-driven legal case analysis systems. His expertise spans the entire data ecosystem, from architecture design to workflow automation and team leadership. With a robust background encompassing more than a decade of hands-on experience in data engineering and data science, Mohammad has successfully implemented enterprise-scale data processing pipelines across multiple industries and geographies. His professional journey includes senior roles at Axiata Digital Advertising (ADA) in Malaysia, where he designed and deployed data pipelines using AWS Redshift, Snowflake, Apache Spark, and Apache Airflow, and at The Center of Applied Data Science, where he led teams delivering training solutions to major corporations including CIMB, PETRONAS, SHELL, and TNB. Mohammad's technical proficiency is comprehensive and current, encompassing cloud platforms (AWS, Google Cloud), data warehousing solutions (Redshift, Snowflake), big data technologies (Apache Spark, Hadoop, Hive), workflow orchestration (Apache Airflow), and multiple database systems (MySQL, PostgreSQL, MongoDB). He holds a Harvard Business School certification in Business Analytics and multiple AWS certifications, including specialized credentials in Big Data, Data Warehousing, and Practical Data Science with Amazon SageMaker. As an educator, Mohammad brings exceptional depth to his training delivery. His academic career includes faculty positions at Payame Noor University and Islamic Azad University, where he served in leadership roles including Chancellor and Department Head. He has authored three technical books and published numerous peer-reviewed papers in international journals. His teaching repertoire covers data engineering, data science, machine learning, software development, and computer architecture, delivered through engaging, hands-on methodologies that bridge theoretical concepts with practical industry applications. Mohammad's unique combination of executive leadership, technical expertise, and proven training capabilities makes him an invaluable resource for organizations seeking to develop their data science and engineering capabilities. His ability to translate complex technical concepts into actionable learning outcomes, coupled with his extensive real-world implementation experience, ensures that training participants gain immediately applicable skills that drive business value.

8 Students

108 Courses

18 Years

( 3 ratings )

100%

( 3 reviews )

Instructor Reviews

Mohammad Mehdi Lotfinejad

Chief Data Officer & Data Science Trainer

"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."

"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."

"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."

FAQ

Frequently Asked Questions About This Course

What will I learn in this MongoDB and Node.js course?

What are the prerequisites for this course?

Will I receive a certification upon completion?

How long does the course take to complete and what is the format?

What practical skills will I gain from this course?

How does this course prepare me for real-world development?

What makes this course different from other MongoDB or Node.js courses?

Where is the training conducted?

Can international participants join this course?

What is the difference between public, corporate, and training provider pricing?

Do I have to pay right away?

I just enrolled in an intake. Does that mean I can attend the course on that date?

What happens if quorum for an intake is not reached?

Why should you attend?

What you'll learn

Design efficient data models following best practices for schema design.
Integrate MongoDB with Node.js applications using the appropriate drivers.
Optimize query performance through effective indexing strategies.
Understand the differences between SQL and NoSQL databases.
Install and configure MongoDB and Node.js for development purposes.
Implement basic CRUD operations within a Node.js environment.
Build RESTful APIs using Express.js integrated with MongoDB.
Develop secure applications by implementing authentication and authorization mechanisms.

Course Syllabus

Day 1 - NoSQL and MongoDB Fundamentals

Module 1

Module 2

Short Break

15 mins

Module 3

Module 4

Recap and Q&A

15 mins

Lunch

1 hour

Module 5

Module 6

Short Break

15 mins

Module 7

Module 8

Recap and Q&A

15 mins

End of Day 1

Day 2 - Node.js Integration Setup

Module 9

Module 10

Short Break

15 mins

Module 11

Module 12

Recap and Q&A

15 mins

Lunch

1 hour

Module 13

Module 14

Short Break

15 mins

Module 15

Module 16

Recap and Q&A

15 mins

End of Day 2

Day 3 - CRUD Operations and Modeling

Module 17

Module 18

Short Break

15 mins

Module 19

Module 20

Recap and Q&A

15 mins

Lunch

1 hour

Module 21

Module 22

Short Break

15 mins

Module 23

Module 24

Recap and Q&A

15 mins

End of Day 3

Day 4 - Advanced Querying and Indexing

Module 25

Module 26

Short Break

15 mins

Module 27

Module 28

Recap and Q&A

15 mins

Lunch

1 hour

Module 29

Module 30

Short Break

15 mins

Module 31

Module 32

Recap and Q&A

15 mins

End of Day 4

Day 5 - Compass and Optimization

Module 33

Module 34

Short Break

15 mins

Module 35

Module 36

Recap and Q&A

15 mins

Lunch

1 hour

Module 37

Module 38

Short Break

15 mins

Module 39

Module 40

Recap and Q&A

15 mins

End of Day 5

Instructor Reviews

Mohammad Mehdi Lotfinejad

Chief Data Officer & Data Science Trainer

"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."

We price match

Public Pricing

MYR 8750

Corporate Pricing

Pax:

Training Fees: MYR 6500/day

Total Fees: MYR 32500 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day

Material Fees: MYR 400

Total Fees: MYR 12400 ++

Certification

Certified MongoDB Associate Developer

MongoDB

Validity: 2 years

Features

5 days

40 modules

Full life-time access

English

Technical: 25 pax

Target Audience

students

engineers

Methodologies

lecture

slides

labs

group assignment

exam

q&A

Subsidies

Ratings and Reviews

( 0 ratings )

( 0 reviews )

Instructor

Mohammad Mehdi Lotfinejad Chief Data Officer & Data Science Trainer

Trainer Profile

TTT Certificate

8 Students

108 Courses

18 Years

( 3 ratings )

100%

( 3 reviews )

FAQ

Frequently Asked Questions About This Course

What will I learn in this MongoDB and Node.js course?

What are the prerequisites for this course?

Will I receive a certification upon completion?

How long does the course take to complete and what is the format?

What practical skills will I gain from this course?

How does this course prepare me for real-world development?

What makes this course different from other MongoDB or Node.js courses?

Where is the training conducted?

Can international participants join this course?

What is the difference between public, corporate, and training provider pricing?

Do I have to pay right away?

I just enrolled in an intake. Does that mean I can attend the course on that date?

What happens if quorum for an intake is not reached?

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201601037204 (1208145-P)

Certified MongoDB Associate Developer Course

Share this course

Public Pricing

Corporate Pricing

Training Provider Pricing

Certification

Certified MongoDB Associate Developer

MongoDB

Features

Target Audience

Methodologies

Subsidies

What you'll learn

Why should you attend?

Course Syllabus

Day 1 - NoSQL and MongoDB Fundamentals

Overview of NoSQL Databases

Introduction to MongoDB

Short Break

Introduction to Node.js

MongoDB and Node.js Integration

Recap and Q&A

Lunch

Setting Up Development Environment

Introduction to JSON and BSON

Short Break

Basic CRUD Operations - Part 1

Basic CRUD Operations - Part 2

Recap and Q&A

End of Day 1

Day 2 - Node.js Integration Setup

Data Modeling Principles

Advanced Data Modeling Patterns

Short Break

Indexing in MongoDB

Advanced Querying Techniques

Recap and Q&A

Lunch

Aggregation Framework - Part 1

Aggregation Framework - Part 2

Short Break

Introduction to MongoDB Compass

Indexing and Query Optimization Lab

Recap and Q&A

End of Day 2

Day 3 - CRUD Operations and Modeling

Introduction to MongoDB Transactions

Transactions in Node.js

Short Break

Building RESTful APIs

User Authentication with JWT

Recap and Q&A

Lunch

Authorization and Access Control

Data Validation and Sanitization

Short Break

Error Handling and Debugging

Testing Node.js Applications

Recap and Q&A

End of Day 3

Day 4 - Advanced Querying and Indexing

Introduction to Atlas Search

Creating and Managing Atlas Search Indexes

Short Break

Writing Search Queries

Performance Tuning in MongoDB

Recap and Q&A

Lunch

Scaling Node.js Applications

Caching Strategies

Short Break

Backup and Recovery Strategies

Monitoring and Maintenance

Recap and Q&A

End of Day 4

Day 5 - Compass and Optimization

Capstone Project Introduction

Project Development Phase 1

Short Break

Project Development Phase 2