We may earn an affiliate commission when you visit our partners.
Mike Van Sickle

In this course, you will learn about Go’s concurrency system and learn how to use goroutines, channels, and the sync package to build robust, highly concurrent applications.

Read more

In this course, you will learn about Go’s concurrency system and learn how to use goroutines, channels, and the sync package to build robust, highly concurrent applications.

Taking advantage of the processing power of today's multi-core computers is a challenge that every developer faces. In this course, Concurrent Programming with Go, you will gain the ability to use Go's powerful tools that allow multi-threaded programs to be written in a clear, easily understood manner. First, you will learn how to use goroutines to initiate concurrent tasks. Then, you will explore the sync package and how to use it to coordinate goroutines. Finally, you will discover channels and how they compliment and complete the coordination features of the sync package. When you are finished with this course, you will have the skills and knowledge of Go's concurrency model needed to write safely, highly concurrent applications.

Enroll now

Here's a deal for you

We found an offer that may be relevant to this course.
Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

What's inside

Syllabus

Course Overview
Goroutines
The Sync Package
Channels
Read more

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches skills, knowledge, and tools that are highly relevant to industry
Explores concepts and ideas that may be useful for personal growth and development
Teaches skills and knowledge that are in high demand in the job market
Builds a strong foundation for intermediate learners
Taught by instructors who are recognized for their work in the field
Requires learners to come in with extensive background knowledge

Save this course

Save Concurrent Programming with Go to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Concurrent Programming with Go with these activities:
Go Concepts Review
Review fundamental concepts in Go to strengthen your understanding before starting the course.
Browse courses on Goroutines
Show steps
  • Revisit documentation on goroutines, channels, and synchronization primitives.
  • Practice creating and using goroutines in simple code snippets.
Join a Go Concurrency Study Group
Connect with other learners and discuss Go concurrency concepts, share experiences, and provide support.
Show steps
  • Find or create a study group focused on Go concurrency.
  • Participate regularly in group discussions, asking questions and sharing insights.
Follow Go Concurrency Tutorial Series
Reinforce your understanding of Go concurrency by following a structured tutorial series.
Show steps
  • Identify a comprehensive Go concurrency tutorial series.
  • Follow the tutorials step-by-step, implementing the concepts in your own code.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve Concurrency-based Coding Challenges
Test your comprehension of concurrency concepts by solving coding challenges specifically designed for Go.
Show steps
  • Find a platform or repository that offers Go concurrency challenges.
  • Select and solve challenges, focusing on understanding the underlying concurrency principles.
Write Blog Posts or Articles on Go Concurrency
Deepen your understanding and reinforce your knowledge by writing blog posts or articles that explore Go concurrency concepts.
Show steps
  • Choose specific concurrency topics to focus on.
  • Research and gather information to support your writing.
  • Write and publish your blog posts or articles, sharing your insights and examples.
Build a Concurrent Go Application
Apply your skills by building a practical Go application that utilizes concurrency patterns.
Show steps
  • Identify a project idea that involves concurrent tasks.
  • Design and implement the application, incorporating various concurrency techniques.
Contribute to Go Concurrency Open-Source Projects
Enhance your understanding and contribute to the community by participating in open-source projects related to Go concurrency.
Show steps
  • Identify open-source projects that focus on Go concurrency.
  • Review project documentation and codebase to understand their approach to concurrency.
  • Identify areas where you can contribute and submit pull requests.

Career center

Learners who complete Concurrent Programming with Go will develop knowledge and skills that may be useful to these careers:
Distributed Systems Engineer
Distributed Systems Engineers are responsible for designing and implementing distributed systems. They need to have a strong understanding of Go's concurrency model to ensure that their systems are scalable and reliable. Taking this course can help Distributed Systems Engineers build a strong foundation in Go's concurrency model, which will enable them to develop high-performance, scalable distributed systems.
Concurrency Engineer
Concurrency Engineers are responsible for designing and implementing concurrent systems. They need to have a strong understanding of Go's concurrency model to ensure that their systems are scalable and reliable. Taking this course can help Concurrency Engineers build a strong foundation in Go's concurrency model, which will enable them to develop high-performance, scalable concurrent systems.
Backend Developer
Backend Developers design, build, and maintain the server-side of web applications. They need to have a strong understanding of concurrent programming to ensure that their systems are scalable and reliable. Go is a popular programming language for backend development, as it provides a lightweight, efficient way to build concurrent and distributed systems. Taking this course can help Backend Developers build a strong foundation in Go's concurrency model, which will enable them to develop high-performance, scalable backend applications.
Data Engineer
Data Engineers design, build, and manage data pipelines, ensuring that data is processed and stored efficiently and reliably. They need to have a strong understanding of concurrent programming to ensure that their systems are scalable and reliable. Go is a popular programming language for data engineering, as it provides a lightweight, efficient way to build concurrent and distributed systems. Taking this course can help Data Engineers build a strong foundation in Go's concurrency model, which will enable them to develop high-performance, scalable data engineering systems.
DevOps Engineer
DevOps Engineers bridge the gap between development and operations teams, ensuring that software is developed and deployed efficiently and reliably. They need to have a strong understanding of concurrent programming to ensure that their systems are scalable and reliable. Go is a popular programming language for DevOps, as it provides a lightweight, efficient way to build concurrent and distributed systems. Taking this course can help DevOps Engineers build a strong foundation in Go's concurrency model, which will enable them to develop high-performance, scalable DevOps systems.
Cloud Engineer
Cloud Engineers design, build, and manage cloud computing systems. They need to have a strong understanding of concurrent programming to ensure that their systems are scalable and reliable. Go is a popular programming language for cloud computing, as it provides a lightweight, efficient way to build concurrent and distributed systems. Taking this course can help Cloud Engineers build a strong foundation in Go's concurrency model, which will enable them to develop high-performance, scalable cloud applications.
Performance Engineer
Performance Engineers design, build, and maintain systems to ensure that they are performant and efficient. They need to have a strong understanding of concurrent programming to ensure that their systems are scalable and reliable. Go is a popular programming language for performance engineering, as it provides a lightweight, efficient way to build concurrent and distributed systems. Taking this course can help Performance Engineers build a strong foundation in Go's concurrency model, which will enable them to develop high-performance, scalable systems.
Software Engineer
Software Engineers are in high demand, as companies of all sizes rely on software to operate. They design, develop, test, and maintain software systems, ensuring that they are efficient, reliable, and secure. Go is a popular programming language for building concurrent and distributed systems, which is essential for many modern software applications. Taking this course can help Software Engineers build a strong foundation in Go's concurrency model, which will enable them to develop high-performance, scalable software applications.
Systems Engineer
Systems Engineers design, build, and maintain computer systems and networks. They need to have a strong understanding of concurrent programming to ensure that their systems are scalable and reliable. Go is a popular programming language for systems engineering, as it provides a lightweight, efficient way to build concurrent and distributed systems. Taking this course can help Systems Engineers build a strong foundation in Go's concurrency model, which will enable them to develop high-performance, scalable systems.
Systems Analyst
Systems Analysts design and implement computer systems. They need to have a strong understanding of Go's concurrency model to ensure that their systems are scalable and reliable. Taking this course can help Systems Analysts build a strong foundation in Go's concurrency model, which will enable them to design and implement high-performance, scalable systems.
Web Developer
Web Developers design, build, and maintain websites and web applications. They need to have a strong understanding of concurrent programming to ensure that their applications are responsive and efficient. Go is a popular programming language for web development, as it provides a lightweight, efficient way to build concurrent and distributed systems. Taking this course can help Web Developers build a strong foundation in Go's concurrency model, which will enable them to develop high-performance, scalable web applications.
Software Architect
Software Architects design and implement software systems. They need to have a strong understanding of Go's concurrency model to ensure that their systems are scalable and reliable. Taking this course can help Software Architects build a strong foundation in Go's concurrency model, which will enable them to design and implement high-performance, scalable software systems.
Mobile Developer
Mobile Developers design, build, and maintain mobile applications. They need to have a strong understanding of concurrent programming to ensure that their applications are responsive and efficient. Go is a popular programming language for mobile development, as it provides a lightweight, efficient way to build concurrent and distributed systems. Taking this course can help Mobile Developers build a strong foundation in Go's concurrency model, which will enable them to develop high-performance, scalable mobile applications.
Data Scientist
Data Scientists analyze data to extract insights and build predictive models. They need to have a strong understanding of Go's concurrency model to ensure that their systems are scalable and reliable. Taking this course can help Data Scientists build a strong foundation in Go's concurrency model, which will enable them to develop high-performance, scalable data science applications.
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning systems. They need to have a strong understanding of Go's concurrency model to ensure that their systems are scalable and reliable. Taking this course can help Machine Learning Engineers build a strong foundation in Go's concurrency model, which will enable them to develop high-performance, scalable machine learning systems.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Concurrent Programming with Go.
Provides a comprehensive overview of concurrency in Go, covering goroutines, channels, and synchronization primitives. It is an excellent resource for those seeking a deeper understanding of Go's concurrency model.
Is the official Go language specification, and it provides a comprehensive overview of the language, including its concurrency features.
A practical guide to writing idiomatic Go code, covering concurrency, testing, and other advanced topics. It great resource for intermediate and experienced Go developers who want to improve their skills and learn best practices.
The official Go language specification, providing a comprehensive reference for the language's syntax, semantics, and standard library. It valuable resource for understanding the fundamental principles of Go, including concurrency.
A comprehensive reference for the Go language, including coverage of concurrency. It valuable resource for developers who want a detailed and authoritative guide to the language.
Provides a theoretical foundation for concurrent and distributed programming, which can be helpful for understanding the concepts behind Go's concurrency model.

Share

Help others find this course page by sharing it with your friends and followers:
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser