Dynamic Programming Masterclass (2025)

Welcome to "AI won't teach Dynamic Programming this way (Java)", a comprehensive course designed for programmers and computer science enthusiasts eager to deepen their understanding of this crucial algorithmic technique. Dynamic Programming (DP) is a method for solving complex problems by breaking them down into simpler subproblems. This course is tailored to equip you with a robust understanding of DP concepts, enabling you to apply them in various programming challenges and real-world scenarios.

Broad Categories of DP problems that we teach in this course:Longest Increasing Subsequence & Variations: Dive into the intricacies of finding the longest increasing subsequence in a sequence of numbers, along with its various forms and applications. Longest Common Subsequence (LCS) & Variations: Explore the LCS problem, crucial in file comparison, DNA sequencing, and more, and learn about its different versions. Buy and Sell Stock Problems & Variations: Analyze different scenarios in stock trading to maximize profit using DP, covering various constraints and conditions.

Matrix Pattern Problems & Variations: Master DP approaches for matrix-related problems, crucial in image processing, game development, and other areas. DP in Trees & Variations: Explore how DP can be extended to more than arrays and 2D arrays. The problems in this category varies a lot in difficulty levels and is crucial when it comes to intermediate level problem solving skills.

Course StructureVideo Lectures: Engaging and detailed video lectures for each topic, offering both theoretical understanding and practical examples. Quizzes: After each lecture, test your understanding with comprehensive quizzes which are actual coding interview follow-ups. Resources: Java code for each problem discussed in lectures.