
Advanced Go and Concurrency Course
Master advanced Go concurrency from goroutine scheduling to production-grade service design. This course takes you deep into channels, synchronization primitives, context propagation, and performance profiling — giving you the tools to build fast, reliable, and race-free Go systems at scale.
What you will learn:
Build deadlock-free channel topologies, pipelines, and fan-out architectures for real workloads.
Apply the Go memory model and race detector to write provably data-race-free concurrent code.
Profile CPU, memory, goroutine, and block behavior to systematically eliminate performance bottlenecks.
Implement context-based cancellation, deadlines, and graceful shutdown in production HTTP services.
Design thread-safe data structures including lock-free queues, typed futures, and sharded maps.
Extend concurrency patterns to cloud-native environments with container-aware runtime tuning.
How you study in practice Advanced Go and Concurrency Course
How you practice Advanced Go and Concurrency Course
For companies looking to train their teams
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.
Course Content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsGo Language Foundations and Toolchain
Go Language Foundations and Toolchain
Lesson 1 • Functions and Error Handling
Teaches variadic functions, closures, and Go's explicit error pattern. Correct error propagation is required for all production code in later chapters.
Lesson 2 • Core Types and Control Flow
Covers primitive types, composite literals, and control structures. Provides the vocabulary needed to express algorithms in idiomatic Go.
Lesson 3 • Go Environment Setup and Modules
Install Go, configure workspace, and initialize modules with go.mod. Establishes the reproducible build foundation every subsequent chapter depends on.
Lesson 4 • Structs, Methods, and Interfaces
Defines struct embedding, method sets, and implicit interface satisfaction. These abstractions underpin every concurrent design pattern covered later.
Lesson 5 • Testing and Benchmarking Basics
Introduces the testing package, table-driven tests, and benchmark functions. Establishes quality gates used throughout the course to validate concurrent code.
Chapter 2HideHide detailsSee detailsGoroutines and the Go Scheduler
Goroutines and the Go Scheduler
Lesson 1 • The Go Runtime Scheduler
Covers the M:N scheduler, GOMAXPROCS, and work-stealing queues. Understanding scheduling decisions prevents performance surprises in concurrent programs.
Lesson 2 • Goroutine Fundamentals
Explains goroutine creation, stack growth, and the go keyword. Grounds all concurrency work in a precise mental model of lightweight threads.
Lesson 3 • Goroutine Pools and Limiting Concurrency
Implements worker pools to bound resource usage and prevent goroutine explosion. Directly applicable to HTTP handlers and batch-processing pipelines.
Lesson 4 • Goroutine Lifecycle Management
Teaches goroutine termination, leak detection, and graceful shutdown patterns. Proper lifecycle control is mandatory before building any production service.
Chapter 3HideHide detailsSee detailsChannels: Design and Patterns
Channels: Design and Patterns
Lesson 1 • Select Statement and Multiplexing
Explains select semantics, default cases, and priority patterns. Select is the primary tool for combining multiple concurrent event sources.
Lesson 2 • Channel Mechanics and Semantics
Covers buffered vs. unbuffered channels, send/receive blocking, and channel closing. Precise semantics prevent the deadlocks and panics addressed in later sections.
Lesson 3 • Directional Channels and API Design
Teaches send-only and receive-only channel types for enforcing ownership. Directional types make concurrent APIs self-documenting and compiler-enforced.
Lesson 4 • Advanced Channel Patterns
Covers done channels, heartbeat channels, and tee patterns for observability. Prepares students for the context-based cancellation introduced in the next chapter.
Lesson 5 • Pipeline and Fan-Out Fan-In Patterns
Builds multi-stage pipelines and fan-out/fan-in topologies using channels. These patterns form the backbone of data-processing and streaming architectures.
Chapter 4HideHide detailsSee detailsSynchronization Primitives and the Memory Model
Synchronization Primitives and the Memory Model
Lesson 1 • Condition Variables and sync.Once
Explains sync.Cond for event-driven waiting and sync.Once for safe initialization. These primitives solve coordination problems channels cannot express cleanly.
Lesson 2 • Mutex and RWMutex Usage
Covers sync.Mutex, sync.RWMutex, and lock-granularity trade-offs. Correct mutex usage is the foundation for all shared-state concurrent data structures.
Lesson 3 • The Go Memory Model
Defines happens-before relationships, synchronization guarantees, and visibility rules. Misunderstanding the memory model is the root cause of most subtle data races.
Lesson 4 • Race Detector and Data Race Elimination
Uses -race flag, interprets detector output, and applies fixes systematically. Race-free code is a non-negotiable requirement for all subsequent advanced chapters.
Lesson 5 • Atomic Operations and sync/atomic
Teaches atomic load, store, CAS, and Add operations for lock-free counters. Atomics provide lower overhead than mutexes for simple shared scalars.
Chapter 5HideHide detailsSee detailsContext, Cancellation, and Timeouts
Context, Cancellation, and Timeouts
Lesson 1 • Deadlines and Timeouts
Covers WithDeadline and WithTimeout for bounding operation duration. Timeouts prevent cascading failures in distributed and microservice architectures.
Lesson 2 • Cancellation with WithCancel
Teaches context.WithCancel, CancelFunc invocation, and Done channel polling. Cancellation is the primary mechanism for stopping goroutine trees on demand.
Lesson 3 • Context Values and Metadata
Explains WithValue, key typing, and appropriate vs. inappropriate value usage. Misuse of context values is a common anti-pattern that degrades API clarity.
Lesson 4 • Context Package Fundamentals
Introduces context.Background, context.TODO, and the Context interface contract. Every production Go service passes context as the first argument to all blocking calls.
Lesson 5 • Graceful Shutdown Patterns
Implements signal-based shutdown using os/signal and context cancellation together. Graceful shutdown is required for zero-downtime deployments in production services.
Chapter 6HideHide detailsSee detailsConcurrent Data Structures and Patterns
Concurrent Data Structures and Patterns
Lesson 1 • Futures, Promises, and Result Types
Builds a generic Future type using channels and sync.Once for one-shot results. Futures simplify concurrent call aggregation without exposing raw goroutine management.
Lesson 2 • Publish-Subscribe and Event Bus
Implements an in-process pub-sub system with typed topics and backpressure. Pub-sub decouples producers from consumers in concurrent application architectures.
Lesson 3 • Thread-Safe Maps and sync.Map
Compares mutex-protected maps with sync.Map and analyzes their performance profiles. Choosing the wrong map type is a frequent source of contention in Go services.
Lesson 4 • Lock-Free Queues and Ring Buffers
Builds lock-free MPSC queues and fixed-size ring buffers using atomics. These structures appear in high-throughput logging, event buses, and network I/O paths.
Lesson 5 • Concurrent Object Pools
Uses sync.Pool for temporary object reuse and analyzes GC interaction. Pools reduce allocator pressure in hot paths such as JSON encoding and HTTP handling.
Chapter 7HideHide detailsSee detailsPerformance Profiling and Optimization
Performance Profiling and Optimization
Lesson 1 • Goroutine and Block Profiling
Uses goroutine and block profiles to find leaks and scheduling delays. Block profiling reveals channel and mutex contention invisible in CPU profiles.
Lesson 2 • Execution Tracer and Runtime Events
Captures runtime traces with go tool trace and interprets scheduler events. The tracer provides microsecond-level visibility into goroutine scheduling and GC pauses.
Lesson 3 • Optimization Strategies and Trade-offs
Applies batching, cache-line padding, and false-sharing elimination to real benchmarks. Optimization decisions must be data-driven and validated with before/after benchmarks.
Lesson 4 • Memory Profiling and Escape Analysis
Analyzes heap allocations, escape analysis output, and GC pressure. Reducing allocations in hot paths directly improves latency and throughput in concurrent code.
Lesson 5 • CPU Profiling with pprof
Collects CPU profiles via net/http/pprof and analyzes flame graphs. CPU profiling pinpoints hot functions that dominate execution time in concurrent workloads.
Chapter 8HideHide detailsSee detailsBuilding Production Concurrent Services
Building Production Concurrent Services
Lesson 1 • Deployment and Operational Readiness
Covers health checks, readiness probes, and runtime metric exposure for orchestrators. Operational readiness ensures the service behaves correctly under rolling deployments.
Lesson 2 • Structured Logging and Tracing
Integrates structured logging and distributed trace propagation into concurrent handlers. Observability is essential for diagnosing concurrency bugs in production environments.
Lesson 3 • Concurrent HTTP Server Architecture
Designs handler concurrency, middleware chains, and connection limits for net/http. Proper server architecture prevents goroutine leaks and resource exhaustion under load.
Lesson 4 • Testing Concurrent Services
Applies race detector, httptest, and load testing to validate concurrent service behavior. Concurrent code requires deterministic tests and stress validation before deployment.
Lesson 5 • Rate Limiting and Backpressure
Implements token-bucket and leaky-bucket rate limiters using tickers and channels. Rate limiting protects downstream services and enforces fair resource allocation.
Your valid completion certificate
This course is for you:
Mid-level Go developers ready to move beyond sequential programming patterns.
Backend engineers whose services struggle under high-concurrency production traffic.
Software architects designing distributed systems that require precise goroutine control.
Python or Java developers transitioning to Go for systems-level concurrent work.
Site reliability engineers debugging mysterious latency spikes in Go microservices.
Computer science graduates who want real-world concurrent Go engineering experience.
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