MongoDB is a popular NoSQL database known for its flexibility, scalability, and ability to handle unstructured or semi-structured data. Unlike traditional relational databases, MongoDB stores data in a document-oriented format using JSON-like BSON documents, making it ideal for modern applications requiring high performance, real-time analytics, or complex data structures.
It is widely used in web development, cloud computing, and big data applications due to its horizontal scaling and ease of integration with modern frameworks. Learning MongoDB is essential for software developers, web developers, and database administrators to design and manage databases for dynamic, data-driven applications.
A tutor can accelerate the learning process by teaching MongoDB's core concepts, such as collections, queries, indexing, and replication, through practical, real-world projects like building RESTful APIs or dynamic web apps, while also introducing advanced topics like sharding and aggregation pipelines for job-ready expertise.

Introductory Course of MongoDB Database

Chapter 1: Introduction to Databases
  • Lesson 1: What Are Databases? (SQL vs. NoSQL)
  • Lesson 2: Types of Databases (Relational, Document, Key-Value, Columnar, Graph)
  • Lesson 3: Popular Databases: MySQL, PostgreSQL, MongoDB, Oracle, Cassandra, etc.
  • Lesson 4: SQL vs. NoSQL: Key Differences and Use Cases
  • Lesson 5: Comparing MongoDB with Other Databases
  • Lesson 6: The Role of NoSQL Databases in Modern Applications
Chapter 2: Introduction to MongoDB
  • Lesson 1: What is MongoDB?
  • Lesson 2: History and Evolution of MongoDB
  • Lesson 3: Key Features and Benefits of MongoDB
  • Lesson 4: MongoDB’s Flexible Schema and Document Model
  • Lesson 5: Understanding the MongoDB Ecosystem (MongoDB Atlas, Compass, Shell, etc.)
  • Lesson 6: Differences Between MongoDB Editions (Community, Enterprise, Atlas)
Chapter 3: Setting Up MongoDB
  • Lesson 1: System Requirements for MongoDB Installation
  • Lesson 2: Installing MongoDB on Windows
  • Lesson 3: Installing MongoDB on macOS
  • Lesson 4: Installing MongoDB on Linux (Using apt/yum)
  • Lesson 5: Setting Up MongoDB Compass as an IDE
  • Lesson 6: Using MongoDB Shell and MongoDB Atlas
  • Lesson 7: Verifying and Testing the Installation
Chapter 4: MongoDB Basics
  • Lesson 1: MongoDB Architecture Overview
  • Lesson 2: Connecting to MongoDB Server
  • Lesson 3: MongoDB Data Model: Documents, Collections, and Databases
  • Lesson 4: Creating Your First Database and Collection
  • Lesson 5: Data Types in MongoDB (String, Number, Object, Array, Date, Boolean, etc.)
  • Lesson 6: Inserting, Updating, and Deleting Documents
Chapter 5: Querying Data in MongoDB
  • Lesson 1: Writing Basic Queries with find()
  • Lesson 2: Filtering Data with Query Operators ($eq, $gt, $lt, $in, etc.)
  • Lesson 3: Sorting and Limiting Results
  • Lesson 4: Working with Aggregation Pipeline
  • Lesson 5: Using Projection to Select Specific Fields
  • Lesson 6: Combining Data with Lookup (Joins in MongoDB)
Chapter 6: MongoDB CRUD Operations
  • Lesson 1: Creating Documents with insertOne() and insertMany()
  • Lesson 2: Reading Documents with find() and findOne()
  • Lesson 3: Updating Documents with updateOne() and updateMany()
  • Lesson 4: Deleting Documents with deleteOne() and deleteMany()
  • Lesson 5: Using Bulk Write Operations
Chapter 7: Indexing in MongoDB
  • Lesson 1: Importance of Indexing in MongoDB
  • Lesson 2: Creating and Using Indexes
  • Lesson 3: Compound Indexes and Their Use Cases
  • Lesson 4: Text Indexing for Full-Text Search
  • Lesson 5: Geospatial Indexes for Location-Based Queries

Advance Course of MongoDB Database

Chapter 1: Advanced Features in MongoDB
  • Lesson 1: Overview of New Features in MongoDB Releases
  • Lesson 2: Transactions in MongoDB (Multi-Document ACID Transactions)
  • Lesson 3: Change Streams for Real-Time Data Updates
  • Lesson 4: Time Series Collections and Data Analysis
  • Lesson 5: Multi-Cloud and Multi-Region Deployment
Chapter 2: Schema Design and Optimization
  • Lesson 1: Principles of NoSQL Schema Design
  • Lesson 2: Normalization vs. Denormalization in MongoDB
  • Lesson 3: Using Embedded Documents and References
  • Lesson 4: Best Practices for Scaling MongoDB Schema
Chapter 3: MongoDB Aggregation Framework
  • Lesson 1: Introduction to Aggregation Pipeline
  • Lesson 2: Common Aggregation Operators ($match, $group, $sort, etc.)
  • Lesson 3: Using $lookup for Joins
  • Lesson 4: Performance Considerations for Aggregation Queries
Chapter 4: Backup and Recovery
  • Lesson 1: Importance of Backups in MongoDB
  • Lesson 2: Creating Snapshots and Backups
  • Lesson 3: Using mongodump and mongorestore for Backup and Restore
  • Lesson 4: Point-in-Time Recovery in MongoDB Atlas
  • Lesson 5: Automating Backup Strategies
Chapter 5: Security and User Management
  • Lesson 1: Securing the MongoDB Server
  • Lesson 2: User Roles and Role-Based Access Control (RBAC)
  • Lesson 3: Authentication and Authorization in MongoDB
  • Lesson 4: Auditing and Logging Security Events
  • Lesson 5: Encryption in MongoDB
Chapter 6: Replication and High Availability
  • Lesson 1: Introduction to MongoDB Replication
  • Lesson 2: Setting Up a Replica Set
  • Lesson 3: Replica Set Failover and Recovery
  • Lesson 4: Read Preference and Write Concerns
  • Lesson 5: Multi-Data Center Replication
Chapter 7: Sharding and Scalability
  • Lesson 1: Introduction to Sharding in MongoDB
  • Lesson 2: Configuring a Sharded Cluster
  • Lesson 3: Choosing a Shard Key
  • Lesson 4: Managing and Monitoring a Sharded Cluster
  • Lesson 5: Best Practices for Scaling MongoDB
Chapter 8: Working with MongoDB in Cloud Environments
  • Lesson 1: Deploying MongoDB on AWS, Azure, and GCP
  • Lesson 2: Using MongoDB Atlas for Managed Database Services
  • Lesson 3: Connecting MongoDB to Cloud Applications
  • Lesson 4: Cost Optimization Strategies for MongoDB Cloud
Chapter 9: Integrating MongoDB with Programming Languages
  • Lesson 1: Connecting MongoDB with Python (PyMongo)
  • Lesson 2: Working with MongoDB in Node.js
  • Lesson 3: Using MongoDB with Java and Spring Boot
  • Lesson 4: Integrating MongoDB with .NET and C#
  • Lesson 5: MongoDB in Mobile Applications (Flutter, React Native)
Chapter 10: Monitoring and Performance Tuning
  • Lesson 1: Monitoring MongoDB with MongoDB Atlas Metrics
  • Lesson 2: Using mongostat and mongotop for Performance Insights
  • Lesson 3: Query Optimization Techniques
  • Lesson 4: Configuring MongoDB for High Performance
  • Lesson 5: Troubleshooting Common Performance Issues
Chapter 11: Advanced Tools and Debugging
  • Lesson 1: Working with MongoDB Compass for Visual Queries
  • Lesson 2: Debugging MongoDB Queries and Indexing Issues
  • Lesson 3: Performance Testing and Benchmarking MongoDB
  • Lesson 4: Common Errors and Troubleshooting Techniques



Course Duration: about 50+10 hours


The online class is held via Skype (or Zoom or Microsoft Teams) and the cost per hour of tutoring is only $15. At the end of this long course, you will master all the required basic and advanced concepts of MongoDB Database and we will develop a real-world web application (using MongoDB) together for about 10 hours in localhost, that fully prepares you to find a job as a professional developer or entry-level Database Administrator.
To book this class, message or call my telegram or WhatsApp:
+98 (912) 490-8372 or +98 (935) 490-8372
You can also send email to me:
abolfazl.mohammadijoo@gmail.com

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