SAHASRA TECHNOLOGIES
Beginner to intermediate curriculum · MongoDB FoundationMongoDB Foundation
A focused MongoDB foundation covering documents, common queries, arrays, embedded data, basic indexes and integration with ASP.NET Core or Python.
- Duration
- 16–20 classes
- Per class
- 90 minutes
Curriculum PDF: save the complete MongoDB Foundation syllabus for offline reference.
Learning objective
Model and query a practical MongoDB database and connect it to an ASP.NET Core or Python application.
Recommended class plan
16–20 classes · 90 minutes per class
2–3 classes + 1 guided database lab per week
Technologies
- MongoDB
- JSON/BSON
- ASP.NET Core or Python driver
Tools
- MongoDB Compass
- mongosh
- VS Code
Curriculum modules
Basic Foundations → Practical Skills → Guided Application
- 1
NoSQL & MongoDB Foundations
SQL vs NoSQL, databases, collections, documents, fields, JSON and BSON concepts.
- 2
CRUD & Queries
Insert, find, update, delete, filters, comparison operators, AND/OR, sort, limit and projection.
- 3
Document Structures
Arrays, embedded documents, nested data and practical modeling choices.
- 4
Indexes & Integration
Create a basic index and perform CRUD from an ASP.NET Core or Python application.
Beginner topics
Start Here and Build Comfort
- Documents and collections
- Insert and find
- Update and delete
- Filtering and sorting
- Projection
Intermediate topics
Progress After the Basics Are Clear
- Arrays and embedded documents
- Nested data
- Basic indexes
- Application CRUD integration
Practical learning
Practise, Submit, Build and Explain
Practical exercises
- Create a document collection
- Write filtered CRUD queries
- Model an embedded structure
- Create and explain a basic index
Assignments
- Design a task database
- Connect one application CRUD flow
Mini projects
- MongoDB Task Manager
- Product Catalog
Industry habits throughout the track
Terminology, Debugging and Responsible AI
Industry terminology
- NoSQL
- Collection
- Document
- BSON
- Projection
- Embedded document
- Index
Debugging exercises
- Fix a field-type mismatch
- Investigate an empty query result
- Find an application connection error
AI learning exercises
- Compare SQL and document models
- Review an AI-generated query for unintended matches
Topics intentionally excluded
Advanced Topics Come Later
Quality fundamentals are more valuable than an overloaded syllabus. These topics are outside this track:
- Sharding
- Replication administration
- Production clusters
- Advanced tuning
- Advanced aggregation pipelines
Recommended next track