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Free Online Dynamic Programming Courses and Certifications 2024

Dynamic Programming is an algorithmic technique for solving complex problems by breaking them down into simpler subproblems. It is mainly used for optimization problems, where the goal is to find the best solution among a set of possible solutions. It works by storing the solutions to subproblems and then using them to build up the solution to the original problem.

Popular Courses

15 Dynamic Programming Part 1: SRTBOT Fib DAGs Bowling
15 Dynamic Programming Part 1: SRTBOT Fib DAGs Bowling
MIT 6.006 Introduction to Algorithms, Spring 2020, is offering a course on Dynamic Programming Part 1: SRTBOT Fib DAGs Bowling. This course is instructed by Erik Demaine and is available to view online. It covers how to solve a problem recursively and provides three examples: Fibonacci, DAG shortest paths, and bowling. This is a great opportunity to learn more about dynamic programming and its applications. Join now and start learning!
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Top 5 Dynamic Programming Patterns for Coding Interviews - For Beginners
Top 5 Dynamic Programming Patterns for Coding Interviews - For Beginners
This course is perfect for beginners who want to learn the top 5 dynamic programming patterns for coding interviews. It covers the fundamentals of dynamic programming and provides step-by-step guidance on how to solve coding interview questions. With this course, you will gain the confidence to tackle any coding interview question with ease. So, if you're looking to ace your coding interviews, this course is for you!
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Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges
Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges
This course is perfect for beginners who want to learn how to use Dynamic Programming to solve complex algorithmic problems and coding challenges. Developed by Alvin Zablan from Coderbyte, one of the top websites for technical interview prep and coding challenges, this course will help you master the fundamentals of Dynamic Programming and become a better programmer. With this course, you will be able to tackle any coding challenge and algorithmic problem with confidence. So, don't miss out on this great opportunity to learn Dynamic Programming and take your coding skills to the next level.
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5 Simple Steps for Solving Dynamic Programming Problems
5 Simple Steps for Solving Dynamic Programming Problems
This video provides a comprehensive guide to solving dynamic programming problems in five simple steps. It covers two specific problems - the longest increasing subsequence problem and optimal box stacking - and provides a discussion on common subproblems. It also includes error correction and implementation tips. With the help of this video, you can learn how to solve dynamic programming problems in an efficient and effective way. It is a must-watch for anyone looking to master this skill.
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Dynamic Programming 1D - Full Course - Python
Dynamic Programming 1D - Full Course - Python
This course is perfect for anyone looking to learn the fundamentals of dynamic programming in Python. It covers the basics of dynamic programming, including 1D problems, and provides a comprehensive overview of the subject. With this course, you will gain a deep understanding of the principles of dynamic programming and be able to apply them to solve real-world problems. The course is designed to be easy to follow and includes plenty of examples and exercises to help you understand the concepts. So, if you're ready to take your programming skills to the next level, this course is for you!
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Recursion Backtracking and Dynamic Programming in Python
Recursion Backtracking and Dynamic Programming in Python
This course is designed to help you understand the fundamental concepts of algorithmic problems, focusing on recursion, backtracking, dynamic programming and divide and conquer approaches. It covers topics such as stack memory and heap memory, Fibonacci numbers, tower of Hanoi problem, linear search approach, Hoare's algorithm, quickselect algorithm, binary numbers, n-queens problem, knapsack problem, optimal packing, merge sort, substring search algorithms, common interview questions, and algorithms analysis. With this course, you will learn the theoretical background of these algorithms and implement them from scratch in Python. Join now and get started!
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Master the art of Dynamic Programming
Master the art of Dynamic Programming
This course will teach you the art of dynamic programming. You will learn the in-depth theory behind dynamic programming, recursion and backtracking techniques, and a step by step approach to come up with dynamic programming solutions to a given problem from scratch. You will also learn how to apply the step by step approach for one-dimensional and multi-dimensional dynamic programming problems with detailed examples. Finally, you will learn how to analyze the time and space complexities of recursive solutions as well as dynamic programming solutions. Master the art of dynamic programming and become a coding interview expert!
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Dynamic Programming - I
Dynamic Programming - I
Are you looking to ace coding interviews for the Tech Giants? This course is perfect for you! Learn how to approach Dynamic Programming problems and visualize elegant solutions. With varying difficulty levels, this course will help you understand, visualize and conceptualize the problem solving approach firmly. Get ready to tackle DP problems with C++ and Java codes, quizzes and coding assignments. Enroll now and master the art of solving DP problems!
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Dynamic Programming Algorithms Master Course (2022)
Dynamic Programming Algorithms Master Course (2022)
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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The Road To Dynamic Programming: Java JavaScript & Python
The Road To Dynamic Programming: Java JavaScript & Python
This course is the perfect opportunity to learn about one of the most difficult topics in programming: dynamic programming. In this course, you will learn the basics of dynamic programming, two popular techniques (memoization and tabulation), and how to solve famous dynamic programming problems. You will also get to practice your skills with quizzes and coding exercises. With Java, JavaScript, and Python, you will be able to implement your code and make your dynamic programming experience more enjoyable. So, join this course and start your journey to mastering dynamic programming!
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Dynamic Programming for Solving Problems
Dynamic Programming for Solving Problems
This course on 'Dynamic Programming for Solving Problems' is perfect for those who have just started programming and want to learn the approach of Dynamic Programming. It covers 8 different problems, from 0-1 Knapsack Problem to Range Sum Making Queries without updates, and teaches two ways of applying the paradigm of Dynamic Programming: Top down Approach and Bottom up Approach. With over 1 hour of video explanation, this course is the perfect way to learn the fundamentals of Dynamic Programming. So, don't wait any longer and start learning now!
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Dynamic Programming Algorithms
Dynamic Programming Algorithms
This course, "Dynamic Programming Algorithms", is perfect for those who understand data structures and algorithms but struggle to solve dynamic programming problems. It provides a comprehensive understanding of critical Dynamic Programming concepts, empowering students to excel in competitive coding and interviews. Through detailed explanations, code implementations, and step-by-step walkthroughs, students will gain a deep understanding of each problem's solution. With 30 day money back guarantee, enrol now and learn the essential dynamic programming problems such as Fibonacci number, Climbing Stairs, House Robber, Decode Ways, Longest Common Subsequence, 0/1 Knapsack Problem, Target sum, Partion Equal Subset Sum, Count Number of Subsets, Coin Change, Coin Change ii, Word Break, and Regular Expression Matching.
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Dynamic Programming
Dynamic Programming
Learn the basics of Dynamic Programming
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Master the art of Dynamic Programming in C++
Master the art of Dynamic Programming in C++
Gain an introduction to Master the art of Dynamic Programming in C++
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Learn Dynamic Programing
Learn Dynamic Programing
Learn the basics of Learn Dynamic Programing
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Dynamic Programming for Competitions and Interviews
Dynamic Programming for Competitions and Interviews
Learn the basics of Dynamic Programming for Competitions and Interviews
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View More Courses

Dynamic Programming Courses

What Are the Best Dynamic Programming Certifications?

Intro To Dynamic Programming Coding Interview Preparation offered by El Farouk Yasser: This certification teaches you the basics of dynamic programming, such as recursion, memoization, bottom-up approach, and common patterns. You can learn how to apply dynamic programming to solve various coding interview problems, such as FibonaccI sequence, coin change, longest common subsequence, knapsack problem, and more. You can take the exam online and earn a certificate from Udemy upon completion.


Dynamic Programming I offered by Sweet Codey: This certification helps you master the art of solving dynamic programming problems and ace the coding interviews. You can learn how to identify dynamic programming problems, how to formulate state and transition functions, how to optimize space and time complexity, and how to handle variations and extensions. You can also practice with over 100 problems from various domains, such as arrays, strings, matrices, graphs, trees, and more. You can take the exam online and earn a certificate from Udemy upon completion.


Master the art of Dynamic Programming offered by Ajay Prakash: This certification guides you through a step-by-step approach to solve any dynamic programming problem. You can learn how to analyze the problem statement, how to define the subproblems and the base cases, how to write the recursive relation, how to implement the top-down and bottom-up solutions, and how to optimize the space and time complexity. You can also work on real-world problems from domains such as mathematics, combinatorics, game theory, optimization, and more. You can take the exam online and earn a certificate from Udemy upon completion.



These are just some examples of the many online dynamic programming certifications available on Coursera, Udemy, edX, Udacity, and other platforms. You can explore more options by visiting their websites or searching for specific topics or keywords.

Frequently Asked Questions and Answers

Q1: What Dynamic Programming courses can I find on AZ Class?

On this page, we have collected free or certified 19 Dynamic Programming online courses from various platforms. The list currently only displays up to 50 items. If you have other needs, please contact us.

Q2: Can I learn Dynamic Programming for free?

Yes, If you don’t know Dynamic Programming, we recommend that you try free online courses, some of which offer certification (please refer to the latest list on the webpage as the standard). Wish you a good online learning experience!

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