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Dynamic Programming Algorithms Master Course (2022)

Learners: 5,478

Instructor: Apaar KamalPrateek NarangCoding Minutes

Duration:

Are you looking to level up your Dynamic Programming skills? Look no further! Apaar Kamal, software engineer at Google & Master on Codeforces, and Prateek Narang, an ex-Google engineer and founder of Coding Minutes, have designed a rigorous and highly detailed Dynamic Programming Master Course for 2022. This 40+ hour course covers the breadth and depth of dynamic programming, from recursion and backtracking to multi-dimensional DP, partition problems, combinatorics, strings, trees and graphs, game theory, and more. You'll also get full solved Atcoder Educational DP Contest as part of the course. With lifetime access and detailed video explanations, this course is the perfect way to master the important DP concepts and ace competitive coding and interviews. Don't miss out - join the course now and take your DP skills to the next level!▼▲

Course Feature Course Overview Pros & Cons Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2022-08-10

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 17th, 2023]

This Dynamic Programming Algorithms Master Course (2022) is designed to help students master the important Dynamic Programming Concepts and level up for Competitive Coding & Interviews. The course is taught by Apaar Kamal, a software engineer at Google & Master on Codeforces, and Prateek Narang, an ex-Google engineer and founder of Coding Minutes. This highly detailed and rigorous curriculum covers the breadth and depth of dynamic programming, starting from a recap of recursion, backtracking, and diving deep into Dynamic Programming techniques like 1D, 2D, Multi-dimensional DP, Partition Problems, DP for Combinatorics & Subsequences, DP on Strings, Digit DP, DP on Trees & Graphs, SOS DP, and DP with Bitmasks, DP and Matrix Exponentiation, DP in Game Theory, and DP with advanced data structures.

The course includes detailed video explanations, carefully curated practice problem sheets, full life time access, and all variants of DP covered. Students will also get full solved Atcoder Educational DP Contest as part of the course. With this course, students will be able to improve their algorithm and optimise many problems using Dynamic Programming.