US Big Tech Algorithm Problem Solving Strategy Part 1 (feat. Bill Gates)

A small team of about 10 people is a big tech developer in the US that generates hundreds of millions of dollars in revenue.

In American Big Tech, small teams of about ten people generate billions in sales, and each team member possesses high competency.

America's Big Tech companies demonstrate the reality that a small team of exceptional developers can generate billions in revenue. These teams demand more than just development skills, and algorithms are one of the keys to their success.

Algorithms go beyond simply writing code; they encompass methods for effectively solving complex problems. The algorithmic knowledge you learn in this course empowers you to solve problems faster and more accurately. Especially in big tech, new challenges and complex problems arise every day, and the ability to solve these problems directly leads to differentiated capabilities .

If you lack a thorough understanding of algorithms, you'll ultimately struggle to solve complex problems. This can hinder the speed and quality of your projects and diminish trust within your team. In particular, you're more likely to find yourself reaching your limits during critical opportunities. This can hinder your personal growth and even lead to career stagnation .

Conversely, if you take this course and solidify your understanding of the fundamental principles of algorithms, you will acquire not only problem-solving skills but also creative approaches. Of course, you can avoid algorithms by saying they are not used in practice, but I agree with the advice of an OpenAI engineer I personally heard: This data structure, algorithm, and mathematical knowledge are meant to foster secondary learning, enabling us to quickly learn and apply. In the future, artificial intelligence will quickly surpass human thinking through thought models. Therefore, going forward, we need to move beyond mentally stable knowledge activities and continuously induce the pain of thinking to create a foundation for developing creative and differentiated developers who overcome limitations.

Features of this course

📌 The goal is to strengthen fundamentals so that you can become a developer who can activate secondary learning, that is, knowledge learning activities.

📌 Rather than memorizing and solving algorithmic problems, we help you develop the ability to solve them on your own through various approaches.

📌 We help you develop the algorithmic problem-solving skills needed to land a job at your desired company, and help you grow into a developer who can accurately identify the logic you need to implement and express your opinions.

📌 Practice creating a flow of thought with a template dedicated to Big Tech algorithm problem-solving strategies.

📌 Covers basic concepts of algorithms and in-depth content based on the book The Art of Computer Programming 1.

• The Art of Computer Programming series is a book that Bill Gates once said he would boldly hire anyone who reads and understands it at Microsoft. This famously complex book, known for its sheer complexity and page-turning challenges, has been summarized and reorganized into a curriculum and lectures.

  
  

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After class

• You will gain a complete understanding of core concepts and gain confidence.
  This course will equip you with a thorough understanding of complex algorithms and data structures, and the creative ability to utilize them freely. This will in turn lead to confidence as a developer and enable you to achieve reliable results in any project.

• You will gain clear problem-solving skills.
  The lessons learned in this course will enable you to efficiently solve a variety of problems you'll encounter in the field. Beyond simply solving a given problem, you'll develop the ability to handle it optimally. This will further enhance your role within the team.

• You can add a powerful weapon to your portfolio.
  Develop a project based on the algorithms and techniques covered in this course, and add the results to your portfolio. This will be a powerful competitive advantage in interviews and differentiate you as a developer. After taking this course, your portfolio will be significantly enriched.

Roadmap Plan

Through the roadmap below, we plan to help developers grow into developers who know how to construct logic and create a flow of thought by constructing their own logic, rather than memorizing and solving problems using cores that continuously inflict pain on their minds and overcome limitations, by moving away from mentally stable knowledge activities.

US Big Tech Algorithm Problem Solving Strategy I

• Concepts and Advancement

  • It covers basic concepts of algorithms and in-depth content based on the book The Art of Computer Programming 1 .

    • The Art of Computer Programming series is a book that Bill Gates once said he would hire anyone who reads and understands it at Microsoft . This famously complex book, known for its sheer complexity and page-turning challenges, has been summarized and restructured into a curriculum and lectures.

• Example Practice

  • We create a core that creates a flow of thought with a Big Tech algorithm problem-solving strategy template while solving problems using real-world concepts using Python code.

    
    

    
    

Course roadmap to be updated later

US Big Tech Algorithm Problem Solving Strategies II

US Big Tech Algorithm Problem Solving Strategy III

US Big Tech Algorithm Problem Solving Strategy IV

US Big Tech Algorithm Problem Solving Strategies V (Big Tech Past Questions and Secondary Learning Practice Questions)

- Implementation of file directory and keyword search optimization algorithms for Apple's development tool Xcode compiler.

- Implementation of Meta Meta mobile application UI hierarchy debugging tree algorithm

Neuralink BCI device paper, patent-based brainwave analysis algorithm implementation

- Implementation of Netflix's recommendation system algorithm

- Implementation of Google's large-scale advertising allocation optimization algorithm

- Shortest path algorithm, Tesla robotaxi app shortest path algorithm implementation

Who created this course

• May 2024 ~ Present: Software Engineer, Artificial Intelligence Startup, Silicon Valley, USA

• August 2023 - April 2024: Full-Stack Software Engineer Fellow, Big Tech Engineer Fellowship, USA

Things to note before taking the course