Dynamic Programming Algorithms Master Course from Udemy

Are you feeling brushed-up with data structures and algorithms but often feel stuck when it comes to DP. But no more, we are super happy to present the Dynamic Programming Specialisation Course for everyone, to help you master the important Dynamic Programming Concepts and level up for Competitive Coding & Interviews.The Dynamic Programming Master Course is taught by Apaar Kamal, software engineer at Google & Master on Codeforces along with Prateek Narang, an ex-Google engineer and founder of Coding Minutes. This highly detailed & rigorous curriculum has been designed to ensure your success in online competitions where Dynamic Programming problems are very common these days. Many top companies like Google, Facebook, Amazon, Directi, CodeNation, Goldman Sachs etc encourage Competitive Programming and conduct coding competitions to hire smart people who can solve problems. Dynamic Programming is a popular algorithmic technique in computer programming that helps to efficiently solve a class of problems that have overlapping subproblems and optimal substructure property.

If any problem can be divided into subproblems, which in turn are divided into smaller subproblems, and if there are overlapping among these subproblems, then the solutions to these subproblems can be saved for future reference. In this way, algorithm can be improved, and lot of problems can be optimised using Dynamic Programming.The 40+ hours course covers the breadth & depth of dynamic programming starting from a recap of recursion, backtracking, and diving deep into Dynamic Programming techniques like -

1D, 2D, Multi-dimensional DP
DP and 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

DP with advanced data structures[Extra] You will also get Full Solved Atcoder Educational DP Contest as part of the course.Course Highlights* Detailed video explanations* Deep dive into advanced DP Concepts* Carefully curated practice problem sheets* Full Life Time Access * All variants of DP CoveredSo, what are you waiting for - join the course now and level-up your DP Skills. *

What's inside

Learning objectives

Identify what type of problems can be solved using dp
Come with recurrence for most dp problems

Master the advance dp techniques
Face interviews and online challenges more confidently

Identify what type of problems can be solved using dp
Come with recurrence for most dp problems
Master the advance dp techniques
Face interviews and online challenges more confidently

Syllabus

Introduction

Instructions

[Optional] Setting Up Coding Environment

Sublime Setup

There will exist a recursive approach in a dynamic programming problem.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Taught by instructors with experience at Google and Codeforces, which suggests relevance to industry standards and competitive coding expectations

Covers a wide range of dynamic programming techniques, including 1D, 2D, multi-dimensional DP, DP on strings, trees, graphs, and bitmasks, which are useful for interviews and competitions

Includes a full solved Atcoder Educational DP Contest, which provides practical experience and insights into solving real-world dynamic programming problems

Requires familiarity with data structures and algorithms, which may necessitate prior coursework or experience in these areas

Includes optional setup instructions for Sublime, which may be helpful for some learners but could be outdated or irrelevant for those using other IDEs

Explores topics like SOS DP and DP with Matrix Exponentiation, which are advanced techniques that may not be necessary for all learners

Reviews summary

Master dynamic programming algorithms

According to students, this course is a highly comprehensive and in-depth masterclass in Dynamic Programming, particularly valuable for those preparing for coding interviews and competitive programming. Learners consistently praise the clear explanations and detailed video lectures provided by the instructors. The course structure, progressing from basics to advanced topics like Digit DP, Bitmasking, and Tree DP, is frequently highlighted as a major strength. The inclusion of a vast collection of carefully curated problems, including the Atcoder Educational DP Contest, is seen as extremely beneficial for hands-on practice and solidifying understanding. While challenging, the consensus is that the course effectively equips students with the skills needed to solve complex DP problems and build a strong algorithmic foundation.

Requires prerequisite knowledge and effort.

"This course is challenging and assumes a good foundation in basic algorithms and data structures."

"It's not for absolute beginners in algorithms. Make sure you are comfortable with recursion and basic problem-solving."

"You need to put in serious effort and practice regularly to keep up with the material."

Well-organized progression through topics.

"The course progresses logically from basic recursion to advanced DP techniques."

"Loved the structured approach, starting from base cases and building up complexity."

"The modules are well-organized, making it easy to follow the learning path for DP."

Instructors explain concepts clearly.

"The instructors explain everything crystal clear, making even the most complex topics understandable."

"Explanations are very clear and precise. The thought process behind DP solutions is well articulated."

"Apaar and Prateek Sir explain the concepts very well, breaking down complex problems step by step."

"I really liked the way concepts were taught, the explanations were clear and to the point."

Plenty of challenging problems provided.

"The problem sheets are really well-curated and challenging, which is essential for mastering DP."

"Plenty of practice problems are available, including the Atcoder DP contest, which is a huge plus."

"The collection of problems provided covers a wide range of difficulty and types, helping to solidify learning."

"Solved many good quality problems which reinforced the concepts learned in lectures."

Deep coverage of various DP techniques.

"It covers almost all the variations of DP problems that can be asked in competitive programming contests and interviews."

"The course is really a Master Course on Dynamic Programming... it covers topics from 1D to tree DP and even Digit DP, which is rare."

"Overall, I feel that this course is one of the best DP courses out there... It covers almost all important aspects of dynamic programming..."

"This course is very comprehensive... It covers a lot of ground in dynamic programming."

"Covers a huge array of DP problems and techniques... a great resource for competitive programming and interview prep."

Highly relevant for coding interviews.

"This course is gold for anyone preparing for FAANG+ interviews. DP is a crucial topic, and this course covers it thoroughly."

"Highly recommended for interview preparation. The problems discussed are very similar to what you find in coding rounds."

"After taking this course, I feel much more confident tackling DP problems in interviews."

"Best course to master DP for competitive programming and coding interviews. Solved many difficult problems."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Dynamic Programming Algorithms Master Course with these activities:

Review Recursion Fundamentals

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Strengthen your understanding of recursion, as it forms the basis for many dynamic programming solutions.

Browse courses on Recursion

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Study the definition of recursion.
Practice writing recursive functions for simple problems.
Trace the execution of recursive calls.

Review 'Competitive Programming 4'

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Expand your knowledge of dynamic programming techniques used in competitive programming.

View Competitive Programming 4 - Book 2: The Lower... on Amazon

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Read the chapters on dynamic programming.
Solve the practice problems.
Compare your solutions with the book's solutions.

Read 'Introduction to Algorithms' (CLRS)

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Deepen your understanding of algorithms and data structures, which are essential for dynamic programming.

View Introduction to Algorithms, fourth edition on Amazon

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Read the chapters on dynamic programming.
Work through the examples and exercises.
Implement the algorithms in your preferred language.

Four other activities

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Solve AtCoder DP Contest Problems

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Practice solving problems from the AtCoder Educational DP Contest to solidify your understanding of different DP techniques.

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Select a problem from the AtCoder DP Contest.
Attempt to solve the problem independently.
Review the editorial for hints or solutions.
Implement the solution in your preferred language.

Implement a DP-based Game Solver

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Apply dynamic programming to solve a game, such as Nim or a simplified version of chess, to gain practical experience.

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Choose a game that can be solved using DP.
Design a DP algorithm to determine the optimal moves.
Implement the algorithm in your preferred language.
Test the solver with various game states.

Create a DP Tutorial

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Solidify your understanding by creating a tutorial explaining a specific DP technique or problem.

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Choose a DP technique or problem.
Write a clear and concise explanation.
Include examples and illustrations.
Share your tutorial with others.

Tutor other students

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Reinforce your understanding by helping other students with dynamic programming concepts and problems.

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Offer assistance to classmates or online forum users.
Explain concepts in different ways.
Provide feedback on their code.

Career center

Learners who complete Dynamic Programming Algorithms Master Course will develop knowledge and skills that may be useful to these careers:

Competitive Programmer

Competitive Programmers solve algorithmic puzzles and coding challenges in contests. This Dynamic Programming Master Course can help competitive programmers significantly improve their performance. Dynamic programming is a frequently tested topic in competitive programming competitions. The course's curriculum, designed by experts in competitive coding, covers a wide range of dynamic programming techniques and problem-solving strategies. The course includes solutions to the Atcoder Educational Dynamic Programming Contest, which can provide valuable insights and practice for competitive programmers. One who pursues this path should take this course to learn dynamic programming.

See salaries and explore the career path for Competitive Programmer

Algorithm Developer

Algorithm Developers are responsible for designing and implementing algorithms. The Dynamic Programming Master Course directly aligns with the core responsibilities of an Algorithm Developer. The course focuses on recursion, backtracking, and various dynamic programming techniques, all essential for algorithm design. Algorithm Developers frequently encounter problems with overlapping subproblems and optimal substructure, making dynamic programming skills highly valuable. The course's coverage of advanced dynamic programming concepts, such as bitmasking and matrix exponentiation, can equip algorithm developers with the tools to tackle complex algorithmic challenges. This course is specifically designed to help algorithm developers master dynamic programming.

See salaries and explore the career path for Algorithm Developer

Software Engineer

Software Engineers design, develop, and test software applications. This Dynamic Programming Master Course can allow you to hone your algorithmic thinking, a core skill for Software Engineers. Dynamic programming is a popular algorithmic technique widely used in software engineering for solving complex problems efficiently. The course's focus on recursion and backtracking helps build a strong foundation for approaching challenging coding tasks. By mastering dynamic programming techniques through this course, software engineers can optimize their code and improve application performance. This course can hone one's skills in competitive programming, mirroring the problem-solving environment encountered in software engineering roles. Mastering dynamic programming techniques can definitely make one a better Software Engineer.

See salaries and explore the career path for Software Engineer

Machine Learning Engineer

Machine Learning Engineers develop and deploy machine learning models and algorithms. The Dynamic Programming Master Course may be useful for some Machine Learning Engineers. Dynamic programming can be used to optimize certain machine learning algorithms and solve complex optimization problems in model training. Machine Learning Engineers can benefit from its focus on algorithmic optimization techniques and its deep dive into DP techniques. This may not be useful for all Machine Learning Engineers, but those who work with computationally intensive models may find it helpful.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use statistical methods and algorithms to extract knowledge from data. While data science involves various skills, a strong understanding of algorithms is crucial for optimizing data processing and model building. This Dynamic Programming Master Course may be useful to Data Scientists. Dynamic programming can be applied to optimize certain machine learning algorithms and solve complex data analysis problems. Data Scientists can benefit from this course's insights into algorithmic optimization techniques and how it addresses overlapping problems. The problem solving skills taught in this course can translate to machine learning tasks.

See salaries and explore the career path for Data Scientist

Quantitative Analyst

Quantitative Analysts, often working in the financial industry, develop and implement mathematical models for pricing, risk management, and trading. The Dynamic Programming Master Course may be useful to Quantitative Analysts, especially those involved in algorithmic trading or optimization problems. Dynamic programming can be used to solve complex optimization problems in finance. The course's techniques provide a structured approach to problem-solving that can be applied to quantitative analysis. Quantitative analysts should take this course to gain skills in problem solving.

See salaries and explore the career path for Quantitative Analyst

Game Developer

Game Developers create video games for a variety of platforms. This Dynamic Programming Master Course can be useful for Game Developers, particularly those working on games that involve pathfinding, resource optimization, or AI. Dynamic programming can be used to optimize game AI algorithms and solve pathfinding problems efficiently. The course's coverage of graph algorithms and optimization techniques can be directly applied to game development challenges. This course can help game developers to produce more optimized and resource friendly games.

See salaries and explore the career path for Game Developer

Financial Engineer

Financial Engineers apply mathematical and computational methods to solve financial problems. The Dynamic Programming Master Course may be useful to financial engineers, particularly those working on algorithmic trading or portfolio optimization. Dynamic programming can be used to solve optimal control problems in finance. The course's systematic approach to problem-solving and its focus on optimization are relevant to financial engineering. Those who want to excel as a financial engineer should be sure to take this course.

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Robotics Engineer

Robotics Engineers design, build, and program robots. The Dynamic Programming Master Course may be useful for Robotics Engineers, especially those working on robot path planning or decision-making algorithms. Dynamic programming can be used to optimize robot movements and solve resource allocation problems in robotics. Robotics engineers should take this course for the benefit of skills in path planning which helps robots navigate in the real world.

See salaries and explore the career path for Robotics Engineer

Bioinformatician

Bioinformaticians analyze biological data using computational tools and algorithms. This Dynamic Programming Master Course may be useful to Bioinformaticians, especially those working on sequence alignment or phylogenetic tree construction. Dynamic programming is a commonly used technique in bioinformatics for solving sequence alignment problems. The course's coverage of string algorithms and optimization techniques can be applied to bioinformatics challenges. This course can help bioinformaticians solve difficult problems that are key to modern biology.

See salaries and explore the career path for Bioinformatician

Operations Research Analyst

Operations Research Analysts use mathematical and analytical methods to help organizations make better decisions. The Dynamic Programming Master Course may be useful to Operations Research Analysts, as dynamic programming is a core technique in optimization. Many Operations Research problems involve overlapping subproblems and optimal substructure, making dynamic programming a natural fit. Operations Research Analysts should consider this course to deepen their understanding.

See salaries and explore the career path for Operations Research Analyst

Cryptography Engineer

Cryptography Engineers design and implement secure communication systems. Cryptography can involve the use of complex algorithms and optimization techniques, making the Dynamic Programming Master Course potentially useful. Dynamic programming principles can be applied to certain aspects of cryptographic algorithm design and analysis. This course may help Cryptography Engineers, though the fit will depend on the specific nature of their work. These engineers should be familiar with coding.

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Technical Lead

Technical Leads guide and mentor development teams, often requiring a deep understanding of algorithms and software architecture. While not directly a coding role, this Dynamic Programming Master Course can be valuable for Technical Leads because it provides them with a deeper understanding of algorithmic problem-solving. This allows Technical Leads to better guide their team members and make informed decisions about software design and optimization. This course allows a Technical Lead to be a better mentor and guide to team members.

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Data Architect

Data Architects design and manage an organization's data infrastructure. This Dynamic Programming Master Course may be useful, as it can help Data Architects to optimize data processing and storage strategies. Dynamic programming techniques can be applied to solve certain optimization problems related to data management. Dynamic programming may offer strategies to optimize costs of data storage. This course may be useful for data architects who seek optimization in their work.

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Systems Architect

Systems Architects design and oversee the implementation of complex computer systems. A strong understanding of algorithms and optimization is crucial for systems architecture. This Dynamic Programming Master Course may be useful for Systems Architects as it can help them design efficient and scalable systems. Dynamic programming is often used to optimize memory usage and processing speed. Systems Architects should consider this course to improve their problem solving skills.

See salaries and explore the career path for Systems Architect

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Dynamic Programming Algorithms Master Course.

Introduction to Algorithms, fourth edition

Save

Comprehensive textbook on algorithms, covering a wide range of topics including dynamic programming. It provides detailed explanations, pseudocode, and analysis of various dynamic programming techniques. It valuable resource for understanding the theoretical foundations of dynamic programming and its applications, and is commonly used in undergraduate and graduate courses.

Introduction to Algorithms, fourth edition

Hardcover

$$$$

Introduction to Algorithms, fourth edition

Kindle Edition

$$$

Competitive Programming 4 - Book 2

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Comprehensive guide to competitive programming, with a strong focus on dynamic programming. It covers a wide range of DP techniques and provides numerous examples and practice problems. It valuable resource for students preparing for coding competitions and interviews. This book is more valuable as additional reading than it is as a current reference.

Competitive Programming 4 - Book 2: The Lower Bound...

Paperback

Dynamic Programming Algorithms Master Course

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What's inside

Learning objectives

Syllabus

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Reviews summary

Master dynamic programming algorithms

Activities

Career center

Reading list

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