AI Won Teach Dynamic Programming This Way (2024)

AI Wont Teach Dynamic Programming This Way (2024), available at $54.99, has an average rating of 5, with 21 lectures, 20 quizzes, based on 29 reviews, and has 1571 subscribers.

You will learn about Gain the ability to visualize and comprehend the majority of Dynamic Programming challenges Solve actual interview problems and follow-ups 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 This course is ideal for individuals who are Anyone studying Data Structures and Algorithms or Anyone who is interested in improving their problem solving skills or Anyone looking to begin or enhance their journey in Dynamic Programming or Anyone aiming to get ready for coding interviews of any kind It is particularly useful for Anyone studying Data Structures and Algorithms or Anyone who is interested in improving their problem solving skills or Anyone looking to begin or enhance their journey in Dynamic Programming or Anyone aiming to get ready for coding interviews of any kind.

Enroll now: AI Wont Teach Dynamic Programming This Way (2024)

Summary

Title: AI Wont Teach Dynamic Programming This Way (2024)

Price: $54.99

Average Rating: 5

Number of Lectures: 21

Number of Quizzes: 20

Number of Published Lectures: 18

Number of Published Quizzes: 16

Number of Curriculum Items: 41

Number of Published Curriculum Objects: 34

Original Price: $19.99

Quality Status: approved

Status: Live

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 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

Who Should Attend

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

Target Audiences

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

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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: How to go through this course

Lecture 2: Want to Lay the Foundations Right?

Chapter 2: LIS Pattern

Lecture 1: How lengthy is the longest increasing subsequence?

Lecture 2: Can you find the longest chain of pairs?

Lecture 3: Do you want to nest some envelopes with me?

Chapter 3: LCS Pattern

Lecture 1: Did someone say Longest Common Subsequence?

Lecture 2: Is there a thing like Edit Distance?

Lecture 3: How do you find the length of the Longest Palindromic Subsequence?

Lecture 4: Whats the Min ASCII sum you can get after deleting some characters?

Chapter 4: Buy and Sell Stock (State Machine) Pattern

Lecture 1: How much profit can I make by buying and selling stocks?

Lecture 2: How much profit can I make by buying and selling stocks with Transaction Fees?

Lecture 3: How much profit can I make by buying and selling stocks with Cool Down time?

Chapter 5: Matrix (2D Grid) Pattern

Lecture 1: In how many unique ways can we reach your destination?

Lecture 2: In how many unique ways can we reach our destination with some obstacles?

Lecture 3: Whats the sum of min falling path in this grid?

Chapter 6: DP in Trees Pattern

Lecture 1: How to maximize robbery in a Binary Tree?

Lecture 2: Whats the Maximum Path Sum In A Binary Tree?

Chapter 7: Credits

Lecture 1: Credits

Instructors

Sweet Codey
Instructor

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 2 votes

4 stars: 2 votes

5 stars: 25 votes

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?

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