Grokking Dynamic Programming Interview

Grokking Dynamic Programming Interview

Master dynamic programming techniques for coding interviews through practical patterns and solutions in Java.

Intermediate

53 Lessons

25h

Certificate of Completion

Master dynamic programming techniques for coding interviews through practical patterns and solutions in Java.

AI-POWERED

Code Feedback
Mock Interview
Explanations

AI-POWERED

Code Feedback
Mock Interview

This course includes

133 Playgrounds
44 Challenges

This course includes

133 Playgrounds
44 Challenges

Course Overview

Some of the toughest questions in technical interviews require dynamic programming solutions. Dynamic programming (DP) is an advanced optimization technique applied to recursive solutions. However, DP is not a one-size-fits-all technique, and it requires practice to develop the ability to identify the underlying DP patterns. With a strategic approach, coding interview prep for DP problems shouldn’t take more than a few weeks. This course starts with an introduction to DP and thoroughly discusses five DP pa...Show More

What You'll Learn

A deep understanding of the essential patterns behind common dynamic programming interview questions—without having to drill endless problem sets

The ability to identify and apply the underlying pattern in an interview question by assessing the problem statement

Familiarity with dynamic programming techniques with hands-on practice in a setup-free coding environment

The ability to efficiently evaluate the tradeoffs between time and space complexity in different solutions

A flexible conceptual framework for solving any dynamic programming question, by connecting problem characteristics and possible solution techniques

What You'll Learn

A deep understanding of the essential patterns behind common dynamic programming interview questions—without having to drill endless problem sets

Show more

Course Content

1.

Getting Started

2.

0/1 Knapsack

3.

Unbounded Knapsack

4.

Recursive Numbers

5.

Longest Common Substring

6.

Palindromic Subsequence

6 Lessons

7.

Conclusion

1 Lesson

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Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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Frequently Asked Questions

What is the difference between memoization and tabulation in dynamic programming?

Memoization is a top-down approach in which recursive calls are made, and solutions to subproblems are stored in memory to prevent redundant calculations. Tabulation, in contrast, is a bottom-up approach in which you iteratively solve subproblems and fill out a table from the base case to the final solution. Both techniques help improve efficiency but are used based on the problem’s nature.

How can I practice dynamic programming to improve interviews?

How can I recognize if a problem is suited for dynamic programming?

Why is dynamic programming emphasized in technical interviews?