CF

Grokking Dynamic Programming Patterns for Coding Interviews

0h 0m 0s
English
Paid
Updated September 2026

Grokking Dynamic Programming Patterns for Coding Interviews is a self-paced course by Design Gurus. Dynamic programming has a reputation for being one of the hardest interview topics, mostly because it's unclear where to even start.

Course facts

Lessons
0
Duration
self-paced
Level
All levels
Language
English
Updated
2026-09-11
Instructor
Design Gurus
Price
Premium

Dynamic programming has a reputation for being one of the hardest interview topics, mostly because it's unclear where to even start. This course replaces that uncertainty with a repeatable process.

The Core Approach

Rather than asking you to memorize solutions, the course teaches five recurring DP patterns that show up across a wide range of interview questions, so you learn to recognize the shape of a problem instead of guessing.

How Each Exercise Works

  • Start with a plain recursive solution to see the problem's structure
  • Add memoization to eliminate repeated work
  • Convert to tabulation for a fast, clean final version

With 35+ guided exercises drawn from real interview questions, you get repeated practice moving from a brute-force idea to an efficient, working solution, until the process becomes second nature.

Additional

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

Who teaches Grokking Dynamic Programming Patterns for Coding Interviews? 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.

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Frequently asked questions

What are the prerequisites for enrolling in this course?
Before taking this course, you should have a basic understanding of programming concepts and experience with any programming language. Familiarity with recursion will be beneficial as the course starts with building recursive solutions to understand dynamic programming problems.
What types of projects or problems will I work on in this course?
The course includes 35+ guided exercises based on common interview questions. These exercises help you practice dynamic programming problems that you are likely to encounter in developer job interviews. Each exercise guides you from the initial idea to a fully optimized code solution.
Who is the target audience for this course?
This course is designed for developers preparing for coding interviews, especially those who want to improve their skills in solving dynamic programming problems. It is also suitable for anyone looking to strengthen their problem-solving abilities using dynamic programming patterns.
How does this course compare to other courses on dynamic programming?
Unlike many courses that require memorization of solutions, this course focuses on understanding five core dynamic programming patterns. You learn a structured approach to solving problems step-by-step, starting with recursion, then optimizing with memoization, and finally using tabulation.
What specific tools or platforms are covered in this course?
The course focuses on dynamic programming as a concept and does not tie itself to specific tools or platforms. It emphasizes problem-solving techniques that can be applied in various programming environments.
What topics are not covered in this course?
This course does not cover topics outside dynamic programming, such as data structures, algorithms unrelated to dynamic programming, or specific programming languages. It is solely focused on helping you master dynamic programming patterns for coding interviews.
How will the skills learned in this course benefit my career?
The skills gained from this course can significantly enhance your problem-solving capabilities, particularly for coding interviews. Mastering dynamic programming patterns will make you more competitive for developer roles, as many interview questions focus on these concepts. Furthermore, the structured approach to problem-solving learned here can be applied to other areas of software development.