Concurrency in Go Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
This course provides a hands-on, practical exploration of Go's concurrency model, designed for developers who already understand Go fundamentals. Over approximately 3.5 weeks of part-time study, you'll learn how to effectively use goroutines, channels, and synchronization primitives to build efficient and safe concurrent applications. Each module combines clear explanations with interactive coding exercises that reinforce key concepts, preparing you for real-world backend development and technical interviews.
Module 1: Introduction to Concurrency in Go
Estimated time: 6 hours
- Understanding concurrency vs parallelism
- Go’s concurrency model and the role of the Go runtime
- Launching and managing goroutines
- Observing concurrent execution and scheduling behavior
Module 2: Channels & Communication
Estimated time: 6 hours
- Creating and using unbuffered channels
- Sending and receiving data through channels
- Channel direction in function signatures
- Building a producer-consumer pipeline
Module 3: Buffered Channels & Select
Estimated time: 6 hours
- Differences between buffered and unbuffered channels
- Managing flow with buffered channels
- Using the select statement for multiple channel operations
- Implementing non-blocking communication with default cases
Module 4: Synchronization Techniques
Estimated time: 6 hours
- Using WaitGroups to synchronize goroutines
- Applying Mutexes to protect shared data
- Identifying and avoiding race conditions
- Recognizing and preventing deadlocks
Module 5: Channel Patterns & Pipelines
Estimated time: 12 hours
- Designing fan-in and fan-out patterns
- Implementing graceful pipeline shutdown
- Using the context package for cancellation and timeouts
- Building a concurrent data processing pipeline
Module 6: Real-World Use Cases & Best Practices
Estimated time: 6 hours
- Handling errors in concurrent goroutines
- Implementing timeouts with context and select
- Benchmarking concurrent code performance
- Developing a concurrent file downloader or task processor
Prerequisites
- Familiarity with basic Go syntax and programming constructs
- Understanding of functions, structs, and methods in Go
- Experience writing and running simple Go programs
What You'll Be Able to Do After
- Explain Go’s concurrency model clearly and confidently
- Design and implement concurrent programs using goroutines and channels
- Apply synchronization techniques to avoid race conditions
- Build scalable data pipelines using channel patterns
- Solve common concurrency problems in interviews and production systems