Dynamic Programming Algorithms Master Course (2022)

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2022-08-10
Learners

No Information
Duration

No Information
Instructor

Apaar KamalPrateek NarangCoding Minutes

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4.2

5,478 Ratings

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!

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Dynamic Programming Algorithms Master Course (2022)

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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.

Course Syllabus

Introduction

[Optional] Setting Up Coding Environment

Basics of Recusion

Backtracking

Introduction to Dynamic Programming

1-D Dynammic Programming

2-D DP Deep Dive : SubSet Sum Problem

2D DP: Deep Dive Knapsack Problem

2D DP problems

Partition Problems

Combinatorics and Dynammic Programming

Subsequences and Dynammic Programming

K - Dimensional Dynammic Programming

Digit Dynammic Programming

Dynammic Programming on Trees

Trees and Lowest Common Ancestors (DP)

Dynammic Programming on Graphs

DP on Strings

Dynammic Programming with Bitmasks

SOS DP

Matrix Exponentiation and Dynamic Programming

Game Theory and Dynamic Programming

Dynammic Programming with Advance Data Structures

Tips and tricks

Challenging DP Problems

Additional Problem to Try!

At Coder Dynammic Programming Educational Contest (A-Z)

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Pros & Cons

Comprehensive coverage of dynamic programming variations.
Prateek sir explained concepts very well.
A rare course that teaches all variations of DP.
Great techniques and effort by Apaar sir.
Well-simplified explanations.

Poor explanation technique at times.
Difficult to understand Prateek sir's section.
Lack of proper explanation by Apaar sir.
Could improve by providing insights into algorithm workings.
Some solutions can be easily found elsewhere.

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