Complete Guide to Redis Course Syllabus

An exhaustive, lab-focused Redis course that equips you to build, scale, and optimize real-time data platforms with confidence. This course spans approximately 9.5 hours across 9 modules, blending foundational concepts with hands-on labs. You'll progress from setup and core data types to advanced features like clustering, scripting, and performance tuning—culminating in real-world implementation scenarios that solidify your expertise.

Module 1: Introduction to Redis & Setup

Estimated time: 1 hour

• Redis use cases
• Installation and configuration
• CLI basics and health checks
• Connecting via CLI and client libraries

Module 2: Strings & Hashes

Estimated time: 1 hour

• GET / SET commands
• Key expiration and TTL management
• HGET / HSET operations
• Hash field manipulation for structured data

Module 3: Lists, Sets & Sorted Sets

Estimated time: 1.5 hours

• LPUSH / LRANGE for list operations
• SADD / SMEMBERS for set management
• ZADD / ZRANGE for sorted sets
• Implementing leaderboards and message queues

Module 4: Advanced Data Structures

Estimated time: 1 hour

• Bitmaps for efficient analytics
• HyperLogLog for cardinality estimation
• Geospatial indexing and queries

Module 5: Pub/Sub & Streams

Estimated time: 1 hour

• Publish/subscribe messaging patterns
• Consumer groups and message acknowledgment
• Event stream processing with Redis Streams

Module 6: Transactions & Lua Scripting

Estimated time: 1 hour

• Using MULTI / EXEC for transactions
• Optimistic locking with WATCH
• Embedding and executing Lua scripts

Module 7: Persistence & Eviction Policies

Estimated time: 1 hour

• RDB snapshots and AOF logging
• Configuring maxmemory policies
• volatile-lru and allkeys-random eviction

Module 8: High Availability & Clustering

Estimated time: 1.5 hours

• Redis Sentinel for failover management
• Redis Cluster architecture and slot distribution
• Resharding and client redirection

Module 9: Performance Tuning & Monitoring

Estimated time: 1 hour

• Connection pooling strategies
• Command pipelining for efficiency
• Monitoring with INFO metrics and Slowlog

Prerequisites

• Familiarity with command-line interface (CLI)
• Basic programming knowledge
• Understanding of fundamental data structures

What You'll Be Able to Do After

• Architect and deploy Redis for real-time applications
• Implement advanced data models using Redis data types
• Configure high availability with Sentinel and Cluster
• Optimize performance through memory and connection management
• Use Lua scripting and transactions for atomic operations