CF

Grokking the Coding Interview: Patterns for Coding Questions

0h 0m 0s
English
Paid

This course shows you how to spot common coding patterns so you can solve new problems with less stress. You learn to link each question to a known idea.

Why Patterns Matter

Coding interviews change fast. You now face harder and broader questions. A list of solved problems is not enough. You need a way to see how a new task connects to problems you know.

This course teaches you that skill. You learn to match a fresh question to a pattern. This helps you stay calm and reason with a clear plan.

What the Course Covers

You study 33 core problem patterns. Each pattern shows a common shape you meet in many interview tasks. When you spot the shape, you know where to start and what steps to try.

These patterns help you read problem limits faster. You also learn why each pattern works, not just the steps to copy.

Results You Can Expect

Many developers used these methods to prepare for interviews at Google, Meta, Amazon, Oracle, OpenAI, and Microsoft. They used the same patterns you will learn here.

You gain a clear toolbox that you can apply to many coding questions, even ones you have never seen before.

Additional

  • This is a text-based course. Please download the archive to get started.

About the Author: Design Gurus

Design Gurus thumbnail

Design Gurus (designgurus.io) is the technical-interview-preparation platform founded by Arslan Ahmad, a former engineer at Facebook, Microsoft, and Hulu. The platform is best known for the Grokking the System Design Interview course — one of the most widely-used resources for the system-design portion of senior engineering interviews — alongside a deep catalog of coding-interview, behavioural, and ML / data-system design preparation material.

The Design Gurus approach is pattern-based: rather than memorising specific problems, the courses teach the recurring patterns (sliding window, two pointers, monolithic architecture, sharding strategies) that recur across interview question categories. The result is preparation that scales — engineers who study the patterns can solve problems they've never seen before, which is closer to what interviewers are actually testing for.

The CourseFlix listing under this source carries over 30 Design Gurus courses spanning coding interviews, system design, machine-learning system design, mobile system design, behavioural interviews, and the senior-level material aimed at staff-and-above engineering positions. Material is paid and aimed at engineers preparing for technical interviews at large tech companies.

Related courses

Frequently asked questions

What prerequisites are required for this course?
The course does not list any specific prerequisites, but a basic understanding of programming and familiarity with coding interviews would be beneficial. It is designed to help those preparing for technical interviews by teaching them to recognize common problem patterns.
What will I build or achieve by the end of this course?
By the end of the course, you will have developed the ability to identify and apply 33 core problem patterns in coding interviews. This skill will enable you to approach new problems with confidence by linking them to familiar patterns.
Who is the target audience for this course?
The course is aimed at software developers and engineers preparing for coding interviews, especially those targeting roles at major tech companies like Google, Meta, Amazon, Oracle, OpenAI, and Microsoft. It is also suitable for anyone looking to improve their problem-solving skills in coding interviews.
How does the depth and scope of this course compare to similar courses?
Unlike courses that focus on memorizing solutions to specific problems, this course emphasizes understanding and applying common coding patterns. This approach provides a deeper understanding of problem-solving techniques, which can be more broadly applied across a range of interview questions.
What specific tools or platforms does this course cover?
The course does not focus on specific tools or platforms. Instead, it centers on cognitive tools, such as recognizing and applying coding patterns that are common in technical interviews, which can be used regardless of the programming environment.
What topics or areas are not covered in this course?
The course does not cover specific programming languages, data structures, or algorithms in detail. Instead, it focuses on recognizing problem patterns that can be applied across various coding scenarios. It also doesn't include practical coding exercises or projects.
What is the expected time commitment for this course?
The course description does not specify a runtime or the number of lessons, so the time commitment may vary based on your familiarity with the material. However, given the focus on mastering 33 problem patterns, you should expect to invest time in understanding and practicing each pattern.