Embark on a Journey to Decode Dynamic Programming: Mastering Patterns for Problem-Solving
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
Description
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 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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