Database Administration · PPL

MongoDB Database Certification

A specialist program designed to develop practical MongoDB skills for document database design, querying, indexing, aggregation, administration, performance optimization, and scalable applications.

  • 3 DaysDuration
  • PPLAccredited
  • 3 LanguagesArabic · English · Hindi
  • ₹13,999.00 Per delegate

This course is accredited by PPL

This is for all ppl accredited courses
2M+ Delegates trained worldwide
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4.8 ★ Average learner rating
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— The journey

Course Outline

What the programme covers, module by module.

Module 1: Introduction to MongoDB

  • MongoDB fundamentals
  • NoSQL databases
  • Document databases
  • MongoDB use cases
  • Relational vs document databases
  • MongoDB ecosystem

Module 2: MongoDB Architecture

  • MongoDB server
  • Databases
  • Collections
  • Documents
  • BSON
  • MongoDB architecture components

Module 3: MongoDB Environment Setup

  • MongoDB installation
  • MongoDB Shell
  • MongoDB Compass
  • Server connection
  • Database creation
  • Development environment

Module 4: Documents & Collections

  • Document structure
  • BSON data types
  • Collections
  • Embedded documents
  • Arrays
  • ObjectId

Module 5: CRUD Operations

  • insertOne()
  • insertMany()
  • find()
  • updateOne()
  • updateMany()
  • Delete operations

Module 6: Querying MongoDB

  • Query filters
  • Comparison operators
  • Logical operators
  • Element operators
  • Array queries
  • Query conditions

Module 7: Projection, Sorting & Pagination

  • Field projection
  • Sorting documents
  • Limiting results
  • Skipping documents
  • Pagination
  • Query result management

Module 8: MongoDB Data Modelling

  • Schema design
  • Flexible schemas
  • Relationships
  • Embedding
  • Referencing
  • Data modelling decisions

Module 9: Advanced Document Modelling

  • One-to-one relationships
  • One-to-many relationships
  • Many-to-many relationships
  • Document growth
  • Data duplication
  • Schema design patterns

Module 10: Aggregation Framework

  • Aggregation concepts
  • Aggregation pipeline
  • $match
  • $project
  • $group
  • $sort

Module 11: Advanced Aggregation

  • $lookup
  • $unwind
  • $addFields
  • $facet
  • Pipeline expressions
  • Multi-stage analytics

Module 12: MongoDB Indexing

  • Index fundamentals
  • Single-field indexes
  • Compound indexes
  • Multikey indexes
  • Text indexes
  • Index selection

Module 13: Query & Index Optimization

  • Query execution
  • explain()
  • Query plans
  • Index utilization
  • Covered queries
  • Performance optimization

Module 14: MongoDB Transactions

  • Transaction concepts
  • ACID properties
  • Multi-document transactions
  • Sessions
  • Commit operations
  • Rollbacks

Module 15: MongoDB Security

  • Authentication
  • Authorization
  • Users
  • Roles
  • Role-based access
  • Security practices

Module 16: Replication

  • Replica sets
  • Primary nodes
  • Secondary nodes
  • Elections
  • Automatic failover
  • Data redundancy

Module 17: Sharding

  • Horizontal scaling
  • Sharded clusters
  • Shard keys
  • Config servers
  • Mongos
  • Data distribution

Module 18: Backup & Recovery

  • Backup strategies
  • mongodump
  • mongorestore
  • Backup planning
  • Recovery procedures
  • Data restoration

Module 19: MongoDB Monitoring

  • Database metrics
  • Server status
  • Connections
  • Memory utilization
  • Storage utilization
  • Performance monitoring

Module 20: Performance Tuning

  • Slow query identification
  • Index optimization
  • Query optimization
  • Schema optimization
  • Memory considerations
  • Workload analysis

Module 21: MongoDB Application Integration

  • MongoDB drivers
  • Application connections
  • Connection strings
  • Connection pooling
  • Error handling
  • Application data access

Module 22: Practical MongoDB Database Project

  • Database design
  • Collection creation
  • CRUD implementation
  • Aggregation development
  • Index optimization
  • Performance analysis
— 01.2 · Is it right for you?

Who it's for & what's included

Pick a delivery method to see exactly who it suits and everything you receive.

Who it's for

Classroom

Best for learners who want face-to-face tuition and to network with peers in person.

What's included

Everything you get

  • Live instructor on-site
  • Printed workbook & materials
  • Group exercises & case studies
Who it's for

Online Instructor-Led

Best for learners who want a live instructor and a fixed schedule, without the travel.

What's included

Everything you get

  • Live instructor via video call
  • Digital workbook & resources
  • Session recordings
Who it's for

Self-Paced

Best for self-motivated learners who need maximum flexibility around work and life.

What's included

Everything you get

  • On-demand video lessons
  • Interactive quizzes
  • 24/7 access on any device
— What you will master

Course Objectives

01

Understand MongoDB architecture and document-oriented database concepts.

02

Create and manage MongoDB databases, collections, and documents.

03

Perform CRUD operations and build advanced MongoDB queries.

04

Design effective document schemas using embedding and referencing approaches.

05

Develop aggregation pipelines for data processing and analysis.

06

Implement indexing and query optimization techniques.

07

Understand transactions, security, replication, and sharding.

08

Monitor, troubleshoot, back up, recover, and optimize MongoDB environments.

— Questions answered

Frequently Asked Questions

What is MongoDB?
MongoDB is a document-oriented NoSQL database that stores information in flexible BSON documents rather than traditional relational tables.
Who should attend this course?
The course is suitable for database administrators, database developers, backend developers, software engineers, data engineers, and technical working professionals.
Do I need previous database experience?
Basic database knowledge is recommended, but the program introduces MongoDB fundamentals before progressing to specialist administration and optimization topics.
Which MongoDB topics are covered?
The course covers document modelling, CRUD operations, querying, aggregation pipelines, indexing, transactions, security, replication, sharding, backup, monitoring, and performance tuning.
What practical skills will I develop?
You will develop skills in designing MongoDB databases, managing documents, creating queries and aggregation pipelines, optimizing indexes, implementing security, scaling databases, and monitoring performance.
— Trusted by learners

What our delegates say

★★★★★

"The structure, the practice exams, the instructor — all top tier. Passed first try."

AS
Aarti SharmaSenior Project Manager · TCS
★★★★★

"Best training I have attended. The content is exactly what modern projects need."

JD
James DonovanProgramme Director · Capgemini
★★★★★

"24/7 support actually means 24/7 — got help on my mock exam at 2am. Worth every dollar."

MO
Maya OkaforPMO Lead · Standard Bank

★ 4.8 / 5 from 12,000+ verified learner reviews on Trustpilot & Google.

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