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Sweet Codey, Suresh Gandhi | SDE-II @Microsoft, Ex-Amazon, Rohit Jain | SDE-2 @ Amazon, and Shubham Chandak | Bloomberg Engineering

What is the best way to understand Dynamic Programming? Shall I directly jump to the problems or spent ample of time in understanding the underlying theory? How can I frame my thought process to achieve those elegant solutions by myself?

Are these some of the questions that come to your mind?

If yes, then you are reading the description of the perfect course you intended for.

If you observe the recent trends, dynamic programming or DP(what most people like to call it) forms a substantial part of any coding interview especially for the Tech Giants like Apple, Google, Facebook etc.

Read more

What is the best way to understand Dynamic Programming? Shall I directly jump to the problems or spent ample of time in understanding the underlying theory? How can I frame my thought process to achieve those elegant solutions by myself?

Are these some of the questions that come to your mind?

If yes, then you are reading the description of the perfect course you intended for.

If you observe the recent trends, dynamic programming or DP(what most people like to call it) forms a substantial part of any coding interview especially for the Tech Giants like Apple, Google, Facebook etc.

We have spent a great amount of time collecting the most important interview problems that are essential and inevitable for making a firm base in DP.

In this course you will learn how to approach a DP problem and visualize the so called "sophisticated solution" for it. There are many problems discussed in this course which are of varying difficulty levels ranging from easy to medium level. And for each problem we have followed the same strategy to explain it. Firstly, we have the problem statement part where we clearly state the problem with a practical example. Then we have the intuition part where we start building our logic behind the approach by figuring out some patterns using our common sense and mental aptitude. Finally we have the pseudo-code and the sample illustration part which completes the whole journey. We believe this consistency in our approach will help the students to understand, visualize and conceptualize the problem solving approach firmly. By the end of this course he/she would be in a great shape to tackle a DP problem.

We will be moving at a slow and a steady pace introducing the main concept behind DP followed by example problems so that you can visualize and apply what you have learnt.

For students who are interested in practical implementation of the algorithm discussed in the video, we have provided C++ and Java codes as an additional resource.

Along with that, each problem is followed by a quiz or a coding assignment which we heavily insist everyone to try. These quizzes and coding assignments are there to check whether you have imbibed the true essence of the concept and are ready to apply it in any similar type of problem. We have provided the true solutions as well for the students to verify theirs.

So what are you waiting for? Just go ahead and enroll for this easy to understand course and get ready to nail those Tech-Giants coding interviews by mastering the art of solving a DP problem.

Enroll now

What's inside

Learning objectives

  • Be able to visualize and understand most of the dynamic programming problems.
  • Develop a strong intuition for any kind of dynamic programming problem when approaching to solve new problems.
  • Understand what kind of questions are asked in coding interviews.
  • Gain confidence for the coding interviews.

Syllabus

Learn the underlying theory behind Dynamic programming with a famous example of Fibonacci Series.
Introduction to Dynamic Programming
Students will be able to visualize and solve many famous programming interview problems
Read more
Stairway to Heaven

On the Way Home
Another way Home
Rod Cutter
Ways to cut Rod
Share Market
Share Market analysis
Sum of the Range
Sum of the Range Queries
Longest Increasing Subsequence
Longest Increasing Subsequence Extended
Solved Problems II
Domino Arrangements
Domino Arrangements Improved
Stairway To Heaven 2
Path to Heaven
Burglar's Night Out
Burglar's Night Out Extended
Number Splitting
Number Splitting Trick
credits
Credits

Congratulations on completing the course! We hope you had a rewarding journey with this course and it brought you in a solid shape to tackle the Dynamic Programming section of the coding interviews. We had put our sincere efforts in making this a well-balanced, top-quality, concise and an easy to understand course and we believe it served its purpose.

Just like Dynamic Programming, 'Trees' is another very crucial topic to master for cracking the coding interviews. Apart from the coding interviews, studying trees is of uttermost importance in your journey to become a proficient programmer as they form the most fundamental data-structures that have countless practical applications. We would, therefore, highly recommend all our algorithm enthusiasts especially those who are really serious about interview preparation to conceptualize and understand 'Trees' and boost up your confidence by solving the most frequently encountered Trees Interview Problems.

Keeping this in mind we have recently launched a course on Tree Data-Structures and Algorithms. The course is currently the highest rated course on the platform in its category. We have spent a great amount of time in developing and organizing the content of the course taking into consideration that the learning should be as fluid and smooth as possible just like DP. The course features a thorough and an in-depth coverage of theory followed by a great collection of solved interview problems as well as well-chosen brain twister quizzes and coding assignments along with their true solutions (C++ and Java codes).

Feel free to check out our course <coupon> for just 9.99$ which is actually the lowest price that you can ever get it on Udemy.

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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 - I with these activities:
Review Recursion Fundamentals
Strengthen your understanding of recursion, a foundational concept for dynamic programming. Refreshing this knowledge will make grasping the recursive nature of DP problems easier.
Browse courses on Recursion
Show steps
  • Review the definition of recursion and its components.
  • Practice writing simple recursive functions.
  • Trace the execution of recursive calls using a call stack.
Read 'Cracking the Coding Interview'
Supplement your learning with a widely-used resource for coding interview preparation. This book provides a broader context for dynamic programming within the larger landscape of algorithms and data structures.
Show steps
  • Read the chapters related to dynamic programming.
  • Solve the dynamic programming problems presented in the book.
  • Compare your solutions with the book's solutions.
Solve DP problems on LeetCode
Reinforce your understanding of dynamic programming by solving a variety of problems on LeetCode. This will help you develop your problem-solving skills and improve your coding abilities.
Show steps
  • Identify dynamic programming problems on LeetCode.
  • Attempt to solve the problems independently.
  • Analyze the solutions and optimize your code.
Three other activities
Expand to see all activities and additional details
Show all six activities
Implement a DP Solution for a Real-World Problem
Apply your dynamic programming knowledge to solve a real-world problem. This will help you solidify your understanding of the concepts and develop your problem-solving skills.
Show steps
  • Identify a real-world problem that can be solved using dynamic programming.
  • Design a dynamic programming solution for the problem.
  • Implement the solution in a programming language of your choice.
  • Test and debug your implementation.
Create a DP Problem Explanation Video
Solidify your understanding by explaining a dynamic programming problem in a video format. Teaching others is a great way to reinforce your own knowledge.
Show steps
  • Choose a dynamic programming problem to explain.
  • Prepare a clear and concise explanation of the problem and its solution.
  • Record a video explaining the problem and its solution.
  • Share your video with others and solicit feedback.
Study 'Introduction to Algorithms' (CLRS)
Deepen your understanding of dynamic programming with a rigorous treatment of the subject. This book provides a theoretical foundation for the concepts covered in the course.
Show steps
  • Read the chapters related to dynamic programming in CLRS.
  • Work through the examples and exercises in the book.
  • Compare the book's approach to dynamic programming with the course's approach.

Career center

Learners who complete Dynamic Programming - I will develop knowledge and skills that may be useful to these careers:

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 - I.
Comprehensive textbook on algorithms, covering a wide range of topics including dynamic programming. It provides rigorous analysis and clear explanations, making it a valuable resource for understanding the theoretical foundations of dynamic programming. It is often used as a textbook in university-level algorithms courses and provides a strong foundation for tackling complex problems. This book offers more breadth than the course, covering many algorithms beyond dynamic programming.
Comprehensive guide to preparing for coding interviews, including a dedicated section on dynamic programming. It provides a wide range of problems and solutions, along with tips and strategies for tackling interview questions. It must-have resource for anyone preparing for technical interviews at top tech companies. This book is particularly useful for understanding the types of dynamic programming problems asked in interviews.

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