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.
curriculum pdf
Save the complete MongoDB Foundation curriculum as a branded PDF 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
NoSQL & MongoDB Foundations
SQL vs NoSQL, databases, collections, documents, fields, JSON and BSON concepts.
CRUD & Queries
Insert, find, update, delete, filters, comparison operators, AND/OR, sort, limit and projection.
Document Structures
Arrays, embedded documents, nested data and practical modeling choices.
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
Industry terminology
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