Go is an open source programming language created by Google. As one of the fastest growing languages in terms of popularity, its a great time to pick up the basics of Go! This course is designed to get you up and running as fast as possible with Go. We'll quickly cover the basics, then dive into some of the more advanced features of the language. Don't be tricked by other courses that only teach you for-loops and if-statements!
Go: The Complete Developer's Guide (Golang)
8h 21m 45s
English
Paid
This is the only course on Udemy that will teach you how to use the full power of Go's concurrency model and interface type systems. Go is designed to be easy to pick up, but tough to master. Through multiple projects, quizzes, and assignments, you'll quickly start to master the language's quirks and oddities. Go is like any other language - you have to write code to learn it! This course will give you ample opportunities to strike out on your own and start working on your own programs.
In this course you will:
- Understand the basic syntax and control structures of the language
- Apply Go's concurrency model to build massively parallel systems
- Grasp the purpose of types, which is especially important if you're coming from a dynamically typed language like Javascript or Ruby
- Organize code through the use of packages
- Use the Go runtime to build and compile projects
- Get insight into critical design decisions in the language
- Gain a sense of when to use basic language features
Go is one of the fastest-growing programming languages released in the last ten years. Get job-ready with Go today by enrolling now!
Requirements:
- Solid experience with another programming language - Javascript, Python, Ruby, Java, or similar
Who this course is for:
- Anyone who wants to understand the fundamental features of Go
What you'll learn:
- Build massively concurrent programs with Go Routines and Channels
- Learn the advanced features of Go
- Understand the differences between commonly used data structures
- Prove your knowledge with dozens of included quiz questions
- Apply Interfaces to dramatically simplify complex programs
- Use types to future-proof your code and reduce the difficulty of refactors
About the Authors
Stephen Grider
Stephen Grider is one of the longest-running and most prolific instructors on Udemy, with a catalog covering essentially every major JavaScript framework, plus Docker, Kubernetes, AWS, and the broader full-stack development landscape. His teaching style is patient and project-oriented — most of his courses are structured around building a substantial application from scratch rather than working through disconnected tutorial examples.
The catalog covers React, Redux, Next.js, Vue, Angular, GraphQL, Node.js, Docker / Kubernetes, AWS infrastructure, React Native and Flutter for mobile, the algorithm / data-structure interview prep track, and the modern TypeScript / Bun / Rust adjacent material that working JavaScript developers increasingly encounter. Few independent instructors have maintained Stephen's breadth this consistently for this long.
The CourseFlix listing under this source carries over 25 Stephen Grider courses spanning that range. Material is paid; Stephen Grider courses are typically sold individually on Udemy. Courses are aimed primarily at developers picking up a specific technology through working through a complete project.
Udemy
Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.
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.
Watch Online 78 lessons
0:00
/ #1: Environment Setup
All Course Lessons (78)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Environment Setup Demo | 02:56 | |
| 2 | VSCode Installation | 02:47 | |
| 3 | Go Support in VSCode | 03:23 | |
| 4 | Boring Ol' Hello World | 03:12 | |
| 5 | Five Important Questions | 06:17 | |
| 6 | Go Packages | 06:11 | |
| 7 | Import Statements | 03:59 | |
| 8 | File Organization | 03:35 | |
| 9 | Project Overview | 02:32 | |
| 10 | New Project Folder | 01:56 | |
| 11 | Variable Declarations | 10:41 | |
| 12 | Functions and Return Types | 07:43 | |
| 13 | Slices and For Loops | 10:50 | |
| 14 | OO Approach vs Go Approach | 04:34 | |
| 15 | Custom Type Declarations | 06:41 | |
| 16 | Receiver Functions | 06:17 | |
| 17 | Creating a New Deck | 10:58 | |
| 18 | Slice Range Syntax | 05:57 | |
| 19 | Multiple Return Values | 08:12 | |
| 20 | Byte Slices | 07:00 | |
| 21 | Deck to String | 07:27 | |
| 22 | Joining a Slice of Strings | 06:37 | |
| 23 | Saving Data to the Hard Drive | 07:03 | |
| 24 | Reading From the Hard Drive | 11:19 | |
| 25 | Error Handling | 07:53 | |
| 26 | Shuffling a Deck | 09:43 | |
| 27 | Random Number Generation | 10:31 | |
| 28 | Testing With Go | 03:41 | |
| 29 | Writing Useful Tests | 12:04 | |
| 30 | Asserting Elements in a Slice | 04:23 | |
| 31 | Testing File IO | 09:53 | |
| 32 | Project Review | 06:18 | |
| 33 | Structs in Go | 04:44 | |
| 34 | Defining Structs | 03:55 | |
| 35 | Declaring Structs | 04:52 | |
| 36 | Updating Struct Values | 05:37 | |
| 37 | Embedding Structs | 06:31 | |
| 38 | Structs with Receiver Functions | 07:27 | |
| 39 | Pass By Value | 05:53 | |
| 40 | Structs with Pointers | 03:13 | |
| 41 | Pointer Operations | 10:14 | |
| 42 | Pointer Shortcut | 06:27 | |
| 43 | Gotchas With Pointers | 04:10 | |
| 44 | Reference vs Value Types | 07:39 | |
| 45 | What's a Map? | 05:48 | |
| 46 | Manipulating Maps | 04:56 | |
| 47 | Iterating Over Maps | 05:17 | |
| 48 | Differences Between Maps and Structs | 05:55 | |
| 49 | Purpose of Interfaces | 09:26 | |
| 50 | Problems Without Interfaces | 10:15 | |
| 51 | Interfaces in Practice | 09:17 | |
| 52 | Rules of Interfaces | 07:49 | |
| 53 | Extra Interface Notes | 06:59 | |
| 54 | The HTTP Package | 08:00 | |
| 55 | Reading the Docs | 05:36 | |
| 56 | More Interface Syntax | 03:14 | |
| 57 | Interface Review | 01:54 | |
| 58 | The Reader Interface | 08:18 | |
| 59 | More on the Reader Interface | 07:24 | |
| 60 | Working with the Read Function | 05:39 | |
| 61 | The Writer Interface | 04:16 | |
| 62 | The io.Copy Function | 05:13 | |
| 63 | The Implementation of io.Copy | 04:34 | |
| 64 | A Custom Writer | 07:57 | |
| 65 | Website Status Checker | 05:29 | |
| 66 | Printing Site Status | 04:33 | |
| 67 | Serial Link Checking | 03:28 | |
| 68 | Go Routines | 07:13 | |
| 69 | Theory of Go Routines | 08:42 | |
| 70 | Channels | 06:10 | |
| 71 | Channel Implementation | 09:17 | |
| 72 | Blocking Channels | 09:56 | |
| 73 | Receiving Messages | 03:33 | |
| 74 | Repeating Routines | 06:46 | |
| 75 | Alternative Loop Syntax | 03:59 | |
| 76 | Sleeping a Routine | 06:15 | |
| 77 | Function Literals | 04:49 | |
| 78 | Channels Gotcha! | 10:33 |
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Frequently asked questions
What are the prerequisites for enrolling in this course?
This course is designed for complete beginners with no prior experience in Go. However, a basic understanding of programming concepts, such as variables, loops, and functions, would be beneficial. The course begins with environment setup and VSCode installation, making it accessible for those new to programming with Go.
What projects will I build during this course?
Students will work on a project that involves creating and manipulating a deck of cards. This involves tasks such as creating a new deck, shuffling it, saving data to the hard drive, and reading from the hard drive. These exercises aim to reinforce the practical application of Go's core features, such as slices, maps, and file I/O.
Who is the target audience for this course?
The course is aimed at both beginners who are new to programming and experienced developers who want to learn Go. It covers a wide range of topics from basic syntax and data types to advanced features like interfaces and concurrency, ensuring that learners at different levels can benefit.
What specific tools will I use during the course?
The course uses Visual Studio Code (VSCode) as the primary development environment. Lessons cover VSCode installation and how to leverage Go support within the editor. This setup helps streamline the coding process and provides a modern development experience.
What is not covered in this course?
The course does not cover topics such as web development frameworks or advanced concurrency patterns beyond basic Go interfaces and the HTTP package. It focuses primarily on foundational Go programming skills and practical coding exercises.
How much time will I need to complete this course?
The course comprises 78 lessons, and while the total runtime is not specified, it is structured to be completed at your own pace. Given the depth and breadth of the content, a commitment of several weeks may be necessary, depending on your prior experience and the time you can dedicate each week.
How will the skills learned in this course carry over to other programming languages or careers?
Learning Go can enhance your understanding of programming concepts such as data types, error handling, and file I/O, which are applicable across many languages. Additionally, Go's emphasis on simplicity and efficiency is valuable in software development careers focused on building scalable systems and network services.