COURSE OUTLINE

Day 1 — Introduction, Architecture & Foundations

1. Introduction to NoSQL & MongoDB 

• SQL vs NoSQL
• Document databases overview
• MongoDB ecosystem & editions (Community, Enterprise, Atlas)
• Use cases & industry adoption

2. MongoDB Core Concepts 

• Databases, Collections, Documents
• BSON format
• JSON vs BSON
• Schema flexibility & dynamic documents

3. MongoDB Architecture 

• Client–server model
• Replication basics
• Sharding overview
• Write Concern & Read Concern
• Journaling & durability

4. Installation & Tools 

• Installing MongoDB locally
• Using Mongo Shell
• Introduction to MongoDB Compass
• Introduction to Atlas Cloud

Hands-on Labs

• Setting up MongoDB & Compass
• Creating databases/collections
• Basic CRUD operations

Day 2 — CRUD Operations, Indexing & Advanced Querying

1. CRUD Deep Dive 

• Insert operations (single/bulk)
• Query operators
• Update operators
• Delete operations

2. Data Types & Operators

• Arrays, embedded documents
• Comparison, logical, element & evaluation operators
• $regex, $in, $exists

3. Indexing

• Importance of indexes
• Types of indexes:
• Single-field
• Compound
• Multikey
• Text index
• TTL index
• Geospatial index
• Index performance considerations

4. Aggregation Framework

• $match, $group, $sort, $project
• Pipelines & stages
• $unwind, $lookup (joins)
• Aggregation performance tips

Hands-on Labs

• CRUD exercises
• Build and analyze indexes
• Aggregation pipelines

Day 3 – Schema Design, Data Modeling & Application Development

1. Data Modeling in MongoDB

• Flexible schema design principles
• Embedded vs Referenced documents
• Tree structures, arrays
• One-to-many & many-to-many relationships
• Schema best practices

2. MongoDB Transactions

• ACID transactions
• Use cases & limitations

3. Application Development

• MongoDB Drivers (Node.js, Python, Java, etc.)
• Working with driver sessions
• Error handling & retryable writes

4. Integrations

• MongoDB with REST APIs
• MongoDB with microservices
• MongoDB + Express/Node.js (MERN basics)

Hands-on Labs

• Build a simple application using MongoDB driver
• Implement embedded & referenced models
• Basic transaction usage

Day 4 – Administration, Security, Backups & Monitoring

1. MongoDB Administration

• Server configuration
• Replica sets
• Replica set failover
• Adding/removing nodes
• Elections & priority

2. MongoDB Sharding

• When to shard
• Choosing a shard key
• Sharded cluster components
• Balancer & migrations

3. Security

• Authentication & Authorization
• Role-Based Access Control (RBAC)
• TLS/SSL setup
• Field-level encryption
• Auditing

4. Backups & Restore

• Mongodump & mongorestore
• Filesystem & snapshot backups
• Atlas backup strategies

5. Monitoring & Performance Tools 

• Profiler
• mongostat
• mongotop
• Atlas monitoring dashboards
• Hands-on Labs
• Configure a replica set
• Create users & roles
• Run backups
• Performance profiling

Day 5 – Enterprise Features, Cloud, Automation & Capstone Project

1. MongoDB Atlas

• Creating & deploying clusters
• Multi-region clusters
• Serverless deployments
• Data federation
• Atlas search

2. Performance Optimization

• Query optimization
• Explain plans
• Index tuning strategies
• Schema tuning for performance

3. DevOps & Automation

• Automation tools (Terraform, Atlas CLI)
• CI/CD integration
• Backup & DR automation
• Log analysis & alerting

4. Advanced Topics (optional based on audience)

• Change Streams
• Time-Series Collections
• MongoDB Charts
• MongoDB Realm (App Services)

5. Capstone Project

Participants design and build a complete MongoDB application:

• Data modeling
• CRUD + Aggregations
• Index strategy
• API integration
• Performance optimization
• Deploy to Atlas