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There are 5 modules in this course
The “Multithreading in Golang” course provides an in-depth exploration of concurrent programming concepts using the Go programming language. Combining theoretical explanations with hands-on exercises, this course will help you leverage multithreading to build efficient and scalable applications.
You will cover essential topics such as goroutines, channels, synchronization primitives, race conditions, mutexes, and atomic operations. Learn how to design concurrent algorithms, safely manage shared resources, and avoid pitfalls like deadlocks and data races.
By the end of this course, you will be able to:
- Understand advanced concurrency patterns in Go.
- Work with conditional variables and mutexes to control execution flow safely.
- Analyze thread communication using channels for efficient synchronization.
- Identify and prevent deadlocks in concurrent programs.
- Implement storage and memory management optimized for concurrency.
- Explain Go’s memory sharing model to write thread-safe code.
This course is designed for web developers, system programmers, data scientists, security researchers, entrepreneurs, and beginners interested in concurrent programming with Go. While prior programming experience is not required, familiarity with any programming language may ease the learning curve.
You will gain practical skills and best practices to develop robust, high-performance multithreaded applications with Go
The first week of this course is a gateway to understanding the fundamental principles that underlie concurrent programming. We'll work on the essential components of multithreading, such as threads, parallel computing, processes, memory sharing, advanced concurrency patterns, and communication mechanisms.
What's included
13 videos3 readings5 assignments
Show info about module content
13 videos•Total 66 minutes
Course Introduction•3 minutes
Understanding Parallel Computing-I•6 minutes
Understanding Parallel Computing-II•7 minutes
Achieving Parallel Computing•5 minutes
Parallel Algorithms•7 minutes
Processes and Threads•5 minutes
Green Threads•5 minutes
Thread Safety in Go•7 minutes
Fan Out Fan In•3 minutes
Worker Pool•4 minutes
Advance Patterns for Concurrency•5 minutes
Memory Sharing•4 minutes
Memory Model•5 minutes
3 readings•Total 21 minutes
About the Course•7 minutes
Start a Process Example•7 minutes
Pipeline Pattern Example•7 minutes
5 assignments•Total 48 minutes
Knowledge Check - Creating and Using Threads •7 minutes
Knowledge Check - Memory Sharing•7 minutes
End Module Knowledge Check Module Wrap-Up Assessment 1•20 minutes
In the second week of this course, you'll unravel the art of synchronizing – lightweight, concurrent threads in the Go language using Mutexes. You will also design concurrent programs that harness the full potential of goroutines while ensuring thread safety through the strategic use of Mutexes.
What's included
10 videos4 readings4 assignments
Show info about module content
10 videos•Total 44 minutes
Locking•5 minutes
Readers-Writer Locks•3 minutes
Mutexes•5 minutes
Locking mechanisms•3 minutes
Understanding Waitgroups•4 minutes
Graceful Termination•5 minutes
Pipelining•5 minutes
Pipelining•5 minutes
Thread Pool•5 minutes
Shoelace Algorithm in Go•4 minutes
4 readings•Total 28 minutes
Implementing Mutex•7 minutes
WaitGroups•7 minutes
File Searching with WaitGroups•7 minutes
Implementing Thread pool•7 minutes
4 assignments•Total 41 minutes
Knowledge Check - Concept of Locking•7 minutes
End Module Knowledge Check Module Wrap-Up Assessment 2•20 minutes
Knowledge Check - WaitGroups•7 minutes
Knowledge Check - Thread Communication Using Channels•7 minutes
Conditional Variables and Deadlocks
Module 3•1 hour to complete
Module details
This module is designed to delve into the concept of conditional variables in Golang, exploring how they facilitate communication and synchronization between goroutines. Additionally, the potential pitfalls that can lead to deadlocks and strategies to prevent and resolve them. By mastering these concepts, developers can ensure the reliability and efficiency of their concurrent applications in Golang.
What's included
9 videos1 reading4 assignments
Show info about module content
9 videos•Total 30 minutes
Introduction to Conditional Variables•2 minutes
Wait() Method•3 minutes
Signal() and Broadcast() Method•3 minutes
Deadlock - I•3 minutes
Deadlock - II•2 minutes
Deadlock Tools•3 minutes
Deadlock Prevention•4 minutes
Automatic Memory Management•4 minutes
Garbage Collection•6 minutes
1 reading•Total 7 minutes
Escape Analysis•7 minutes
4 assignments•Total 41 minutes
Knowledge Check - Conditional Variables•7 minutes
Knowledge Check - Storage Management•7 minutes
End Module Knowledge Check Module Wrap-Up Assessment 3•20 minutes
Knowledge Check - Deadlocks•7 minutes
Barriers, Atomic Variables and Spinning Locks
Module 4•2 hours to complete
Module details
The forth week of this course is tailored for Go developers to seek an uderstanding of barriers, atomic variables and spinning locks. By mastering these concurrency primitives, developers can enhance the efficiency, scalability, and reliability of their Golang applications in concurrent environments.
What's included
9 videos6 readings4 assignments
Show info about module content
9 videos•Total 32 minutes
Introduction to Barriers•4 minutes
Types of Barriers•5 minutes
Building Barriers•2 minutes
Understanding Atomic Variables•4 minutes
Atomic Operations•4 minutes
Understanding Spinning Locks•2 minutes
Locking Using Spinning Locks•3 minutes
Ledger•3 minutes
Error Handling in Ledger -II•4 minutes
6 readings•Total 42 minutes
Reusable Barrier Demo•7 minutes
Building a Barrier Demo•7 minutes
Memory Barriers•7 minutes
Using Spinlock•7 minutes
Locking Using Spinlock•7 minutes
Ledger Structure•7 minutes
4 assignments•Total 41 minutes
Knowledge Check - Barriers•7 minutes
Knowledge Check - Atomic Variables•7 minutes
Knowledge Check - Spinning Locks•7 minutes
End Module Knowledge Check Module Wrap-Up Assessment 4•20 minutes
Course Wrap Up and Assessment
Module 5•1 hour to complete
Module details
This module is designed to assess an individual on the various concepts and teachings covered in this course. Answer a comprehensive quiz which marks you as a learner who is confident in Mastering Multithreading in Go.
What's included
1 video1 reading1 assignment1 discussion prompt
Show info about module content
1 video•Total 1 minute
Mastering Multithreading with Go: Course Summary•1 minute
1 reading•Total 7 minutes
Final Project : File Downloader Application•7 minutes
1 assignment•Total 20 minutes
End Course Knowledge Check: Mastering Multithreading with Go•20 minutes
1 discussion prompt•Total 10 minutes
Describe Your Learning Journey•10 minutes
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Multithreading in Golang refers to the concurrent execution of multiple threads or goroutines within a Go program. Goroutines are lightweight threads managed by the Go runtime, and they enable concurrent execution of code segments within the same address space.
What are the prerequisites for Mastering Multithreading in Go course?
The prerequisites for Mastering Multithreading in Go include:
- Computer Science Fundamentals: Familiarity with fundamental concepts such as data structures (arrays, slices, maps) and algorithms can assist in applying these concepts while Programming with Golang.
- Text Editor or Integrated Development Environment (IDE): Familiarity with using a text editor (e.g., VSCode, Sublime Text) or an IDE (e.g., GoLand, VS Code with Go extension) for writing and managing code.
- Command-Line Interface (CLI) Familiarity: Basic knowledge of using the command line interface for compiling, running, and managing files can be beneficial for working with Go tools.
While these are helpful prerequisites, it's worth noting that Mastering Multithreading in Go is designed to be user-friendly and accessible to many users. Beginners can start with basic tasks and gradually build their skills as they gain more experience with the tool.
What software and hardware requirements are there for Mastering Multithreading in Go course?
Operating System Compatibility: Golang is compatible with the following Windows operating systems:
Windows 11 (64-bit)
Windows 10 (64-bit)
Processor: A 64-bit processor with at least 1.4 GHz speed or higher is recommended.
Memory (RAM): A minimum of 8 GB RAM is required for better performance.
Hard Drive Space: You need at least 2 GB of free hard drive space for the installation.
How do I access the course materials?
The course materials can be accessed as one progresses from 1 lesson to another by completing the due assignments and graded assignments.
Is a certificate provided upon course completion?
Yes, a course completion certificate is allocated upon completing all graded assignments and quizzes present in the Mastering Multithreading in Go course.
Who is this Mastering Multithreading in Go course for?
This course is designed for freshers who are novices in programming and web development aiming for the role of a Web Developer, Data Scientist, System Programmer, etc. The main aim is to explore apps like cloud, server side applications, DevOps, and command line tools.
Does this course cover performance tuning for concurrent apps?
Yes, you will explore best practices and optimization strategies to build efficient and scalable concurrent applications.
What roles would benefit from this course?
This course is ideal for backend developers, cloud engineers, system programmers, and Go developers working on high-performance or distributed systems.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.