Lesson 1: Understanding the evolution of NoSQL databases
Lesson 2: Key characteristics and advantages over traditional databases
Lesson 3: Document-oriented databases (e.g., MongoDB)
Lesson 4: Key-Value stores (e.g., Redis)
Lesson 5: Column-family databases (e.g., Cassandra)
Lesson 6: Graph databases (e.g., Neo4j)
Lesson 7: Strengths and weaknesses of each NoSQL type
Lesson 8: Choosing the right type for specific use cases

Lesson 1: Overview of MongoDB as a document-based NoSQL database
Lesson 2: Installation and setup
Lesson 3: Hands-on sessions for creating, reading, updating, and deleting data
Lesson 4: Querying MongoDB collections
Lesson 5: Creating and managing indexes for performance
Lesson 6: Utilizing aggregation pipelines for complex queries

Lesson 1: Understanding the distributed nature of Cassandra
Lesson 2: Data modeling concepts in Cassandra
Lesson 3: Basics of CQL for interacting with Cassandra
Lesson 4: Data modeling and schema design

Lesson 1: In-memory data store concepts
Lesson 2: Use cases and practical applications
Lesson 3: Brief exploration of key-value stores and graph databases
Lesson 4: Use cases for different types of NoSQL databases

Lesson 1: Sharding and partitioning strategies for scalability
Lesson 2: Replication for fault tolerance and high availability
Lesson 3: Understanding consistency levels in NoSQL databases
Lesson 4: Handling transactions in a distributed environment