MongoDB

A complete MongoDB path covering BSON and document modeling, CRUD, aggregation, indexes, query planning, transactions, replication, consistency, sharding, change streams, time-series, geospatial, search/vector retrieval, encryption, WiredTiger internals, backup, operations, drivers, and production architecture.

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27chapters

135lesson paths

Beginner → Advancedlearning level

Publishedcourse state

Coverage baselineModern MongoDB 8.x concepts across self-managed deployments and Atlas capabilities

Course brief

Model for documents first, then scale and operate the cluster with evidence.

This syllabus deliberately separates foundations, data modeling, query behavior, internals, reliability, security, performance, operations, and production design so advanced material is not compressed into generic catch-all chapters.

By the end

You will be able to

Design MongoDB documents around access patterns, cardinality, document growth, schema evolution, validation, and consistency requirements
Write efficient CRUD and aggregation workloads and verify them with indexes, explain plans, profiling, and realistic datasets
Operate replica sets and sharded clusters with explicit read/write concerns, shard-key strategy, balancing, change streams, and failure handling
Use time-series, geospatial, search/vector, encryption, security, WiredTiger, backup, monitoring, and upgrades as production capabilities rather than isolated features
Build resilient applications with official drivers, sessions, transactions, retryability, pooling, observability, capacity planning, and a tested production runbook

Complete syllabus

27 chapters · 135 lessons.

Every lesson path was reserved in the planned syllabus and is now linked because its lesson HTML is available. The sequence moves from foundations through advanced implementation, architecture, operations, reliability, security, tuning, and a production capstone.

Chapter 1

MongoDB Foundations, Editions, Deployment Models, mongosh, and Lab Setup

5 lessons

What MongoDB Is: Document Database Architecture, Common Workloads, and TradeoffsPublished lesson · Chapter01/Lesson1.html

MongoDB

Model for documents first, then scale and operate the cluster with evidence.

You will be able to

27 chapters · 135 lessons.

MongoDB Foundations, Editions, Deployment Models, mongosh, and Lab Setup

BSON, Documents, Collections, Flexible Schema, and Data Types

CRUD Fundamentals: Insert, Find, Projection, Sort, Limit, and Delete

Query Operators, Arrays, Nested Fields, Null/Missing Semantics, and Expressions

Updates, Array Mutations, Upserts, findAndModify, and Bulk Writes

Document Modeling: Embedding, References, Cardinality, and Aggregate Boundaries

Schema Validation, Evolution, Versioning, and Data Quality

Aggregation Pipeline Fundamentals

Advanced Aggregation: Joins, Facets, Windows, Reshaping, and Write-Back

Index Fundamentals: Single, Compound, Multikey, Unique, and Index Prefixes

Advanced Indexes: Partial, Sparse, TTL, Wildcard, Hashed, Text, and Geospatial

Query Planning, explain(), Plan Cache, Profiling, and Slow Query Diagnosis

Sessions and Multi-Document Transactions

Replica Sets: Replication, Oplog, Elections, and Failover

Read Concern, Write Concern, Read Preference, and Causal Consistency

Sharded Cluster Architecture, mongos Routing, Config Servers, and Chunks/Ranges

Shard Keys, Zones, Balancing, Resharding, and Evolving Distribution

Change Streams, CDC, Resumability, and Event-Driven Integration

Time-Series Collections, Bucketing, Retention, and Time-Based Analytics

Geospatial Data and Location Queries

Atlas Search, Vector Search, Hybrid Retrieval, and AI-Oriented Workloads

Authentication, Authorization, TLS, Network Security, and Auditing

Encryption: At Rest, Client-Side Field Level, and Queryable Encryption

WiredTiger Storage Engine, Journaling, Checkpoints, Compression, and Cache

Backup, Restore, Snapshots, Point-in-Time Recovery, and Disaster Recovery

Monitoring, Capacity, Performance, Upgrades, and Feature Compatibility Version

Drivers, Application Patterns, Production Architecture, and Capstone