AI Won't Teach Dynamic Programming This Way (2024)

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:

1. 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.

2. Longest Common Subsequence (LCS) & Variations: Explore the LCS problem, crucial in file comparison, DNA sequencing, and more, and learn about its different versions.

3. Buy and Sell Stock Problems & Variations: Analyze different scenarios in stock trading to maximize profit using DP, covering various constraints and conditions.

4. Matrix Pattern Problems & Variations: Master DP approaches for matrix-related problems, crucial in image processing, game development, and other areas.

5. 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 Structure

• Video 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.

Who This Course Is For

• Anyone studying Data Structures and Algorithms

• Anyone who is interested in improving their problem solving skills

• Anyone looking to begin or enhance their journey in Dynamic Programming

• Anyone aiming to get ready for coding interviews of any kind

What You Will Learn

• Gain the ability to visualize and comprehend the majority of Dynamic Programming challenges

• Solve actual interview problems and follow-ups

• Understand basics of Recursion and how to use it for advanced problem solving

• Understand detailed solutions with code in Java to over 15 popular Dynamic Programming questions

• Intermediate level problem solving skills

• Enhance your problem-solving abilities and grow as a more proficient developer

Prerequisites

• Basic knowledge of programming (preferably in Python, Java, Javascript or C++).

• Basic knowledge of Data Structures like 2D Arrays and Trees would be beneficial.

What’s Included

• Access to all video lectures and quizzes.

• Downloadable resources and lectures.

• Certificate of completion.

It is essential to note that all the problems we discuss in this course are among the most asked MAANG (Meta/Facebook, Amazon, Apple, Netflix, Google) interview questions.

Enroll now and embark on your journey to mastering Dynamic Programming, an essential skill for every programmer!

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!