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Backend, APIs & databases · Corporate training

Sample curriculum

MongoDB

Model document data and build reliable queries, aggregations, and application integrations.

  • Foundation to intermediate
  • Live online and in person
Explore the curriculum Discuss your team’s training

At a glance

Who it’s for

Freshers or teams building a foundation in this technology, with the starting knowledge listed here.

Starting point: Foundation to intermediate

Bring these foundations

  • Basic programming and JSON objects.
Foundation sessions can be included when needed.

Technologies & tools

  • MongoDB
  • MongoDB Compass
  • Node.js
  • Mongoose
Setup and versions agreed for your environment.

A practical destination

Skills to practise.

The sample path works towards these capabilities. Final goals reflect your team’s starting point and agreed scope.

  1. 01

    Use document queries and updates deliberately.

  2. 02

    Choose embedding or references for a workload.

  3. 03

    Connect aggregation and indexing to application needs.

Sample curriculum

Follow the learning route.

Each module connects the concepts to practical work. Open a module to explore both.

01Module 1

Document database foundations

Concepts to understand

  • Collections, documents, and BSON
  • CRUD operations and filters
  • Working with arrays and nested data

Practical work

Store and query sample documents with nested fields and arrays. Explain which query conditions select each result.

Show the result. Explain one decision. Identify what you would improve.
02Module 2

Data modeling

Concepts to understand

  • Embedding versus references
  • Schema validation and application constraints
  • Modeling access patterns

Practical work

Model a related-data feature using embedding and references. Compare update, retrieval and growth trade-offs.

Show the result. Explain one decision. Identify what you would improve.
03Module 3

Aggregation & performance

Concepts to understand

  • Aggregation pipelines
  • Grouping, lookups, and transformations
  • Indexes and query inspection

Practical work

Build an aggregation pipeline for a reporting question and inspect an index strategy with representative queries.

Show the result. Explain one decision. Identify what you would improve.
04Module 4

Application integration

Concepts to understand

  • Drivers and Mongoose models
  • Error handling and database configuration
  • Testing and data integrity checks

Practical work

Connect an application resource to MongoDB with validation and useful errors. Test valid, missing and malformed input.

Show the result. Explain one decision. Identify what you would improve.

A sample project

Bring the skills together.

Build a document-backed application feature with validation, aggregation reports, and useful indexes.

Shorter engagements can focus on selected exercises. A larger, learner-owned capstone can be scoped for a longer programme.

Review the work & reasoning

Four useful questions.

  1. 01

    Does the work meet the agreed requirements?

  2. 02

    Can the learner explain the key decisions and trade-offs?

  3. 03

    What happens with invalid input, failure or an unexpected condition?

  4. 04

    What would they change or explore next?

Designed & delivered by Ragav Kumar V.

Training since 2016 · 100+ batches · 3,000+ professionals trained

Live demonstrations, guided exercises, pair work and project reviews connect the concepts to implementation. We agree the goals, starting knowledge, cohort size, delivery and schedule before shaping the final curriculum.

Shape this for your team

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