Udemy – Top 50 Dynamic Programming Java Algorithms Coding Questions 2023-4

Udemy – Top 50 Dynamic Programming Java Algorithms Coding Questions 2023-4 Downloadly IRSpace

Aug 17, 2025 - 02:24 Updated: Aug 19, 2025 - 14:20

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Udemy – Top 50 Dynamic Programming Java Algorithms Coding Questions 2023-4

Top 50 Dynamic Programming Java Algorithms Coding Questions. This course examines 50 key Dynamic Programming questions in Java that are often asked in coding interviews and programming competitions. Dynamic programming is an optimization method for solving recursive problems with optimal structures and iterative subproblems. This course first teaches basic concepts such as identifying problems suitable for DP, the difference between top-down (Memoization) and bottom-up (Tabulation) approaches, and time and memory optimization. For each problem, the problem statement is first analyzed, then the recursive solution is presented, and by converting it to DP, the time and space complexities are examined. Instead of presenting dry slides, this course uses interactive explanations and simultaneous coding to strengthen the skills of analyzing and expressing solution methods. The questions are taken from reputable sources such as lists from major companies like Google, Microsoft, and Amazon, and in addition to learning DP, they also cover other concepts such as data structures, hashing, and search algorithms. This course is designed for those who want to improve their problem-solving skills and prepare for technical interviews.

What you will learn

Understand what dynamic programming, recursion, and back tracking are.
Learning classification criteria for a dynamic programming question using optimal substructure and overlapping subproblems.
Master the art of recursion and learn how to turn a recursive problem into dynamic programming.
Solve 50 carefully selected Java dynamic programming algorithm questions that are asked in competitive programming and programming interviews.
Solve each question with recursive, top-down (memoization), and bottom-up (tabulation) approaches in dynamic programming.
You’re one step closer to competitive programming and success in coding interviews.

This course is suitable for people who:

Students or professionals preparing for coding interviews related to software development.
Programmers who want to enter competitive programming.
Self-taught programmers who want to learn data structures and algorithms.

Course Description Top 50 Dynamic Programming Java Algorithms Coding Questions

Publisher: Udemy
Instructor: Raunak Jain
Training level: Beginner to advanced
Training duration: 18 hours and 10 minutes
Number of lessons: 52

Course topics

Course Prerequisites Top 50 Dynamic Programming Java Algorithms Coding Questions

Understanding of any basic programming language (preferably Java)
Basics of programming language such as variables, loops, conditionals, arrays, and strings
Basic understanding of time and space complexities