← Back to the catalogueMongoDB
Beginner to Advanced
Level
Classroom . Online . Hybrid
Mode
Course overview
A MongoDB course covering document modelling, the aggregation framework and cluster operations. Schema design gets the most attention, because document modelling decisions determine everything downstream: embedding versus referencing, cardinality patterns, and index support for the actual query set. Aggregation, transactions, replica sets and sharding follow.
Learners model and operate a database for a real application workload.
Who it is for
- Backend and full stack developers
- Data engineers
- Developers on MERN or MEAN stacks
- Administrators supporting MongoDB
Prerequisites
Basic programming and data modelling awareness.
How it runs
Learn → Practise → Build → Experience → Demonstrate, ending in a capstone. Delivered by practitioners from the engineering bench, in Madurai, Coimbatore and online.
Final project
Modelled and Operated Application Database
Programme sheet
The printed sheet carries the full module breakdown, labs, project work and certification path. Fees, dates and formats for the next intake are confirmed by the education team on enquiry.
Learning outcomes
01
Model documents around query patterns.
02
Write CRUD and aggregation pipelines.
03
Use transactions where they are needed.
04
Plan shard keys and understand their consequences.
05
Choose between embedding and referencing.
06
Design indexes including compound and text.
07
Deploy replica sets and understand elections.
08
Operate MongoDB Atlas with backups and alerts.
Module structure
8 modulesModule 01
MongoDB Foundations
Documents and BSON . Databases and collections . Shell and Compass . Drivers . Atlas setup
Module 02
CRUD and Queries
Insert, find, update, delete . Query operators . Projections . Sorting and pagination . Array queries . LAB
Embedding vs referencing . One-to-few, one-to-many, many-to-many . Bucket and outlier patterns . Schema validation
Module 04
Aggregation Framework
match, group, project . lookup . unwind . facet . Window functions . Pipeline optimisation
Module 05
Indexes and Performance
Single and compound indexes . Multikey . Text and geospatial . Working set
Module 06
Transactions and Consistency
Write concern . Read concern and preference . Multi-document transactions . Idempotency
Module 07
Replication and Sharding
Replica set architecture . Elections . oplog . Shard keys . Zones
Backups and restore . Monitoring and alerts . Users and roles . Field-level encryption basics . Migration from SQL
Assessment & certification
Module assignments and labs
25%
Final project and review
40%
Learners who complete all modules, submit the final project and clear the review receive a course completion certificate from Kaizen Infinities Private Limited. Project work is documented for the learner's portfolio, and interview preparation is included in the closing sessions.
Career outcomes . Roles this programme prepares for
MongoDB DeveloperBackend DeveloperFull Stack DeveloperData EngineerDatabase Administrator
