CF

Golang (Go) Concurrency: Hands-On Guide

2h 9m 27s
English
Paid

Unlock the potential of parallel programming in Go with this practical guide. This course is designed for intermediate and advanced level developers, providing them with the skills necessary to create efficient, responsive, and scalable software solutions.

Diving into the world of concurrency with Golang, you will learn about the key components of concurrent processing: goroutines, mutexes, condition variables, wait groups, atomic operations, channels, and more. The course will also help you address data race issues and ensure data integrity in multithreaded applications.

How the course is conducted:

All the course sessions are practice-oriented. But this doesn't mean that you won't understand the theory! Before starting to write code, I explain the main concepts and show diagrams to give you a complete understanding of the topic. Only after that do we move on to programming.

Each session is provided with ready-made code snippets that can be downloaded if you prefer not to write code in parallel with the course. I hope you enjoy the course and that the learning brings you new valuable knowledge!

About the Author: Udemy

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Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.

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#1: Goroutines: Introduction and Basics
All Course Lessons (12)
#Lesson TitleDurationAccess
1
Goroutines: Introduction and Basics Demo
04:18
2
Mutex: Ensuring Data Consistency
03:26
3
Condition Variable: Coordination Between Goroutines
07:17
4
Wait Groups: Synchronization and Completion
16:42
5
Atomic Operations: Low-Level Synchronization
12:57
6
Pool: Memory Allocation and Garbage Collection
07:51
7
Channels: Communication Between Goroutines
15:21
8
Select: Multiplexing Goroutine Communication
08:28
9
Review: Recap and Practice
28:31
10
Data Race Detector: Debugging Concurrency Issues
07:03
11
Context: Managing Goroutine Lifecycle
17:01
12
Congratulations
00:32
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Frequently asked questions

What prerequisites should I have before enrolling in this course?
Prospective students should have an intermediate to advanced understanding of programming concepts and experience with the Go programming language. Familiarity with basic concurrency concepts and experience in developing multi-threaded applications can be beneficial but is not strictly necessary.
What projects or applications will I build in the course?
The course involves hands-on exercises and projects that focus on creating efficient and scalable software solutions using Go concurrency features. Students will work with goroutines, mutexes, channels, and more to build applications that handle multiple tasks simultaneously, ensuring data consistency and effective communication between concurrent processes.
Who is the target audience for this course?
This course is intended for intermediate and advanced-level developers who want to deepen their understanding of concurrency in Go. It is suitable for software engineers looking to enhance their skills in building responsive and scalable applications using parallel programming techniques.
How does this course compare to other concurrency courses?
Unlike other concurrency courses that may cover multiple programming languages and general concepts, this course specifically focuses on Golang. It provides a practical guide to using Go's concurrency features like goroutines, channels, and atomic operations to solve real-world problems.
What specific tools or platforms are used in the course?
The course focuses on concurrency in Go, utilizing Go's built-in packages and tools such as goroutines for parallel execution, channels for communication, and the Data Race Detector for debugging concurrency issues. These tools are part of the Go programming environment.
What topics are NOT covered in this course?
The course does not cover introductory programming concepts or basic Go syntax. It also does not delve into concurrency in other programming languages or general software engineering practices outside the scope of Go concurrency features.
How can the skills learned in this course benefit my career?
Skills acquired in managing concurrency with Go are highly valuable in building scalable, high-performance applications. This expertise can enhance career opportunities in fields requiring efficient software solutions, such as cloud computing, distributed systems, and backend development. The ability to handle concurrent processing is crucial for developing responsive and efficient software.