Up and Running with Concurrency in Go (Golang) from Udemy

Are you ready to tackle one of the most exciting and important features of the Go language?

According to the most recent developer surveys, Go(lang) is one of the world’s most desired and loved languages, and its developers are among the highest paid in the world. Go is also the top language that companies are planning to migrate to, meaning that your Go skills are likely future-proof for many years to come.

Concurrency is considered to be a very advanced topic within Golang, and some comprehensive Go courses do not address it at all. Yet we believe that with just a reasonable number of hours of effort, you can be on your way, comfortable with concurrency and ready to add asynchronous features to your next programming project.

This course is for ANYONE getting started with concurrency, especially in the Go programming language. There are no strict prerequisites, but knowledge of computer programming principles and specifically the Go language will be very helpful, especially for the coding exercises.

This relatively short course covers ALL the essentials of concurrency - theory, syntax, coding examples, and downloadable copies of all visual materials.

Specifically, we will cover:

Concurrency theory, terminology, trends, benefits, and challenges
The difference between concurrency and parallelism / parallel programming
Goroutines
Blocking code
Wait groups
Channels
IO bound vs CPU bound code with examples of each
Race conditions
Mutexes
Condition variables
Atomic variables
Concurrency patterns

This course is offered at an affordable price, saving you weeks or months of digging through YouTube videos or purchasing other courses just to get up and running with concurrency.

Enroll today and be on your way. See you soon.

From recent students:

"The instructor is very enthusiastic and knowledgeable. His presentations are clear and concise. Will seek out more courses from this instructor."

"Here's one of those courses that are short and sweet while covering the exact content you came for. Stan Vangilder delivers valuable, practical teachings on turning synchronous processes into fast, concurrent processes. One thing I appreciated from this course was gaining an in-depth understanding of how Golang differs from other languages when it comes to native support for concurrency for both IO-bound and CPU-bound processes. Plus, 'atomic variables' are no longer just a cool sounding piece of code I will skip over and learn about one day. Thanks, Stan. "

"This exceptional course is exactly what I needed. Thank you so much Stan for explaining in such detailed manner and providing wonderful and easy to follow examples. I truly enjoyed this course and binged watched it like a Netflix show. I learned a lot. Really looking forward for your next courses with Go. "

"Awesome. the author has a nice tone of voice which makes easy to follow the topics. The examples used are excellent the understand the concepts, I highly recommend this course."

"Sir, that was a wonderful course, 5 stars easily. Are you planning on making other courses with Go?"

"Great instructor. I look forward to more courses from him. Thanks"

"I finished the course in a few hours and left u my feedback there, it's good content. Congratulations and let us know when u publish ur next course. "

What's inside

Learning objectives

Fundamentals of concurrency - what it is, how it works in any language
The complete set of tools and techniques for implementing concurrency with the go programming language
Confidence, experience and sample code to quickly implement concurrency into your own projects.

Downloadable resources include dozens of code samples, course slides, cheat sheets and more.
Coding challenge exercises after each major section to immediately use your new skills.
Concurrency, parallelism, io bound vs cpu bound code, goroutines, wait groups, channels, race conditions, mutexes, condition variables, and more

Fundamentals of concurrency - what it is, how it works in any language
The complete set of tools and techniques for implementing concurrency with the go programming language
Confidence, experience and sample code to quickly implement concurrency into your own projects.
Downloadable resources include dozens of code samples, course slides, cheat sheets and more.
Coding challenge exercises after each major section to immediately use your new skills.
Concurrency, parallelism, io bound vs cpu bound code, goroutines, wait groups, channels, race conditions, mutexes, condition variables, and more

Syllabus

Fully understand who this course is for, why you should learn concurrency, and how the course works.

Course welcome video

This video describes who this course is for, what you will learn, and why you should learn about concurrency in Go.

This is just a heads-up that course materials will be available in Section 3

This video demonstrates the performance improvement potential of concurrency

These slides describe how to use the Udemy interface as well as how to get help, depending on the subject.

This section covers setting up your development environment including installing Go, IDE, and course resources.

This section describes the purpose and syntax of channels.

This section shows how to implement channels in our code.

This section describes how to use channels for synchronization.

This section explains the difference between IO bound and CPU bound processes, and how it impacts our coding.

CPU bound code examples.

IO bound code examples.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers concurrency, which is often considered an advanced topic and may not be addressed in other comprehensive courses, making it valuable for developers seeking to deepen their knowledge

Teaches skills that are future-proof, as Go is a top language for companies planning to migrate, making this course relevant for career advancement and long-term employability

Explores concurrency patterns, which can help developers write more efficient and scalable code, and this is a valuable skill in modern software development

Includes coding challenge exercises after each major section, which allows learners to immediately apply their new skills and reinforce their understanding of concurrency concepts

Requires knowledge of computer programming principles and the Go language, which may exclude absolute beginners without prior programming experience

Examines race conditions and their solutions using mutexes and atomic variables, which are essential for writing safe and reliable concurrent code

Reviews summary

Practical introduction to go concurrency

According to learners, this course provides a clear and practical introduction to Go concurrency. Students consistently praise the instructor's enthusiastic and knowledgeable teaching style, noting that their presentations and explanations are clear and concise. The examples used are highlighted as excellent and easy to follow, effectively illustrating complex concepts. Reviewers feel the course delivers exactly the content needed to get up and running with concurrency fundamentals like goroutines, channels, and wait groups. While largely positive, a few mention the pace felt a bit fast in certain sections or that some topics could benefit from more depth for advanced learners, but overall it's seen as a great foundation.

Covers essential Go concurrency topics.

"Here's one of those courses that are short and sweet while covering the exact content you came for."

"This relatively short course covers ALL the essentials of concurrency..."

"Good introduction to Go concurrency. Covers the basics well..."

"It provides a solid foundation for understanding Go concurrency concepts."

Practical examples clarify complex concepts.

"The examples used are excellent the understand the concepts..."

"providing wonderful and easy to follow examples."

"Stan Vangilder delivers valuable, practical teachings..."

"The examples were okay but sometimes felt slightly rushed."

Enthusiastic, knowledgeable, clear explanations.

"The instructor is very enthusiastic and knowledgeable. His presentations are clear and concise. Will seek out more courses from this instructor."

"Awesome. the author has a nice tone of voice which makes easy to follow the topics."

"Thank you so much Stan for explaining in such detailed manner and providing wonderful and easy to follow examples."

"Great instructor. I look forward to more courses from him. Thanks"

Mostly clear, but pace/depth varies.

"It felt a little fast-paced at times..."

"Some topics could use a bit more depth, but for 'up and running', it delivers."

"Found the pace a bit too quick in some sections, especially with channels."

"Good overview, but might need supplemental material for deeper understanding."

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 Up and Running with Concurrency in Go (Golang) with these activities:

Review Go Basics

Show steps

Solidify your understanding of fundamental Go concepts like data types, control flow, and functions to prepare for the concurrency topics.

Browse courses on Go Programming

Show steps

Review Go syntax and basic programming constructs.
Practice writing simple Go programs.

Read 'Go in Action' by William Kennedy

Show steps

Strengthen your understanding of Go fundamentals, including concurrency, by reading a comprehensive Go book.

View Go in Action on Amazon

Show steps

Read the book cover to cover.
Pay close attention to the concurrency-related chapters.

Read 'Concurrency in Go' by Katherine Cox-Buday

Show steps

Deepen your understanding of concurrency concepts and Go's concurrency primitives by studying a dedicated book on the subject.

View Concurrency in Go on Amazon

Show steps

Read the book cover to cover.
Experiment with the code examples provided in the book.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Write a Blog Post on Go Concurrency Patterns

Show steps

Solidify your knowledge by explaining different concurrency patterns in Go, such as worker pools or fan-out/fan-in, in a blog post.

Browse courses on Concurrency Patterns

Show steps

Choose a concurrency pattern to explain.
Research the pattern and its implementation in Go.
Write a clear and concise blog post with code examples.

Implement Concurrent Algorithms

Show steps

Reinforce your understanding of concurrency by implementing classic concurrent algorithms like producer-consumer or dining philosophers.

Browse courses on Concurrency

Show steps

Choose a concurrent algorithm to implement.
Write Go code to implement the algorithm using goroutines and channels.
Test your implementation thoroughly.

Build a Concurrent Web Scraper

Show steps

Apply your concurrency skills to build a practical application that fetches and processes data from multiple web pages simultaneously.

Browse courses on Concurrency

Show steps

Design the architecture of the web scraper.
Implement the scraper using goroutines and channels.
Test the scraper with different websites.

Contribute to a Go Concurrency Library

Show steps

Deepen your understanding and contribute to the Go community by contributing to an open-source concurrency library.

Browse courses on Concurrency

Show steps

Find an open-source Go concurrency library on GitHub.
Identify a bug or feature to work on.
Submit a pull request with your changes.

Career center

Learners who complete Up and Running with Concurrency in Go (Golang) will develop knowledge and skills that may be useful to these careers:

Backend Developer

A Backend Developer is responsible for the server side of web applications, including databases and APIs. This course is highly beneficial for any aspiring Backend Developer, since modern APIs rely on handling many requests concurrently. The course covers key concepts like goroutines, channels, and synchronization, providing practical skills needed to build high-performance, scalable backend systems using Go. A backend specialist will be able to understand and implement concurrency patterns to ensure applications can handle multiple tasks simultaneously. The focus on both IO-bound and CPU-bound processes is especially helpful.

See salaries and explore the career path for Backend Developer

Software Engineer

As a Software Engineer, you are responsible for designing, developing, and maintaining software applications. This course on concurrency in Go is highly relevant, as modern applications often require handling multiple tasks simultaneously, which is precisely what concurrency enables. Knowledge of goroutines, channels, and synchronization primitives like mutexes and wait groups taught in this course will allow you to write efficient, reliable, and scalable software. It helps build a foundation for managing concurrent operations, a crucial aspect of software engineering, especially in backend development.

See salaries and explore the career path for Software Engineer

Systems Programmer

A Systems Programmer works on the core components of operating systems and other foundational software. The course is incredibly useful for a Systems Programmer since concurrency is essential in that field. The course will help you understand how to use Goroutines, channels, and wait groups effectively, which are critical for building and maintaining high-performance systems. The course covers essential skills for managing resources and ensuring optimal application performance, which are critical in systems programming. Through learning concepts such as race conditions, mutexes, and condition variables, a systems programmer can improve the reliability of their software through sound concurrency mechanics.

See salaries and explore the career path for Systems Programmer

Cloud Engineer

A Cloud Engineer is concerned with the design, implementation, and management of cloud-based systems, which often rely on concurrency to handle many requests. The course is a valuable addition to the skillset of a Cloud Engineer since it covers the core elements of concurrency, particularly in the context of Go. This course focuses on practical techniques for managing multiple tasks concurrently using goroutines and channels. This will allow you to develop scalable, responsive cloud applications. Knowledge of topics such as IO-bound and CPU-bound processes, are essential for optimizing performance in cloud environments.

See salaries and explore the career path for Cloud Engineer

DevOps Engineer

A DevOps Engineer bridges the gap between development and operations, and often works with tools and infrastructure that use concurrency. The course is directly applicable for any DevOps Engineer since Go is a popular language in DevOps. The training empowers you to implement concurrent operations to automate tasks, manage infrastructure, and deploy applications more efficiently. The course's focus on concurrency patterns, along with topics like wait groups and channels, will assist a DevOps engineer in building robust and scalable systems. Managing race conditions through mutexes and atomic variables is also crucial for maintaining stable DevOps environments.

See salaries and explore the career path for DevOps Engineer

Embedded Systems Engineer

An Embedded Systems Engineer develops software for embedded devices, which often require concurrent processing to handle real-time operations. The course may help an aspiring Embedded Systems Engineer because the principles of concurrency apply across languages. The course will help you understand how to use goroutines and channels to manage multiple tasks concurrently on resource constrained hardware. The material on IO-bound and CPU-bound processes can help in optimizing code for embedded systems. Learning how to avoid race conditions using mutexes and atomic variables will lead to safer, reliable embedded systems.

See salaries and explore the career path for Embedded Systems Engineer

Game Developer

A Game Developer is responsible for designing and creating video games and interactive experiences. Concurrency is an important aspect of a Game Developer's work allowing for sophisticated, interactive game mechanics. The course may be helpful for learning the fundamentals of concurrency. Course content on topics like goroutines and channels will assist the development of concurrent tasks needed for game development. The course will also help you manage resources and optimize game performance.

See salaries and explore the career path for Game Developer

Data Engineer

Data Engineers build and maintain the infrastructure for data collection, processing, and analysis. A Data Engineer may find this course helpful, as data processing often uses concurrency to handle large volumes of data. The course will help you understand how to utilize goroutines and channels to create more efficient data pipelines and processing systems. The course will equip data engineers with the ability to manage multiple data streams concurrently, which can be essential for scaling data operations. Although Go is not primarily a data science language, the principles of concurrency discussed here can help manage tasks in any language.

See salaries and explore the career path for Data Engineer

Mobile Application Developer

Mobile Application Developers create applications for mobile devices. This course may be useful for a Mobile Application Developer, as mobile apps often need to handle multiple operations concurrently. This course covers the fundamentals of concurrency including goroutines and channels. These techniques can help mobile applications improve their user experience by efficiently managing background tasks. The content on managing race conditions and synchronization will help maintain reliable applications for mobile use as well.

See salaries and explore the career path for Mobile Application Developer

Technical Lead

A Technical Lead is responsible for guiding a team of developers, often making critical decisions based on technical knowledge. A Technical Lead will find this course to be helpful in staying current on the principles of concurrent programming. As a lead, you may provide mentorship and make better informed decisions through gaining an understanding of techniques such as goroutines, channels and wait groups as they apply to Go. Understanding concurrency patterns also makes a better, more well rounded leader able to guide a team towards building robust and scalable systems.

See salaries and explore the career path for Technical Lead

Database Administrator

A Database Administrator manages and maintains database systems. This course may be useful for a Database Administrator since it provides a deep understanding of concurrency concepts. This course covers topics such as how to handle multiple concurrent operations. Through this course, a database administrator will gain valuable insight into managing and optimizing the performance of database systems. The material on race conditions and synchronization will help in maintaining data consistency across a database.

See salaries and explore the career path for Database Administrator

Research Scientist

A Research Scientist conducts research and experiments and may be responsible for writing code to simulate experiments or process data. The principles of concurrency discussed in this course may be helpful for a Research Scientist, particularly the concepts of goroutines, channels and wait groups. The course will allow a Research Scientist to implement concurrent operations to make their computations faster. The course material on IO bound and CPU bound tasks will also allow for efficient resource management. This will assist the scientist to conduct faster and more reliable experiments.

See salaries and explore the career path for Research Scientist

Data Scientist

A Data Scientist uses statistical techniques and machine learning to gather insights from data. This course may be useful for a Data Scientist interested in understanding concurrency. Although this course teaches concurrency in the Go language, the fundamentals can be applied to other languages used in data science. The course covers topics like concurrency, parallelism, and how to manage multiple operations simultaneously. The material on IO bound and CPU bound processing can lead to more performant data science code.

See salaries and explore the career path for Data Scientist

IT Manager

An IT Manager oversees the information technology infrastructure for organizations. This course may be useful for an IT manager who needs fundamental knowledge of how concurrent systems work. The course offers a comprehensive overview of concurrency and related topics. This can help an IT manager to better understand the technical workings underlying the systems they manage. Although not directly used in their day-to-day, an IT manager with knowledge of concurrency can understand how to manage concurrent processes more efficiently.

See salaries and explore the career path for IT Manager

Technical Writer

A Technical Writer produces documentation for software and technical products. Although the course may not directly benefit a technical writer, familiarity with concurrency may help a writer better understand the systems for which they write. The course provides practical examples of concurrency, making it easier to write accurate and effective technical documents. The understanding of key concepts and terminology covered in the course will assist a technical writer in their work.

See salaries and explore the career path for Technical Writer

Up and Running with Concurrency in Go (Golang)

Here's a deal for you

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Practical introduction to go concurrency

Activities

Career center

Reading list

Share

Similar courses