Strategies for Solving Big Tech Coding Test Algorithms in the AI Era That Cannot Be Replaced (feat. Bill Gates)

U.S. Big Tech developers where small teams of about 10 people generate tens of billions in revenue

In US big tech, small teams of around 10 people generate tens of billions in revenue through teamwork, with each team member possessing high-level capabilities.

Big tech companies in the U.S. demonstrate a reality where teams composed of a few exceptional developers generate tens of billions in revenue. These teams are required to possess more than just simple development skills, and among them, algorithms have established themselves as one of the secrets to their success.

Algorithms represent more than just the skill of writing code; they signify the method of effectively solving complex problems. The algorithmic knowledge gained through this lecture empowers you to solve problems faster and more accurately. In particular, Big Tech companies present new challenges and complex problems every day, and the ability to solve these problems directly leads to differentiated capabilities.

If you lack an understanding of algorithms, you will eventually face difficulties in solving complex problems. This can decrease the speed and quality of projects and may also lower the trust within your team. In particular, you are likely to hit your limits during important opportunities. As a result, you may experience not only a lack of personal growth but also a stagnation in your career.

Conversely, if you take this course and solidify the basic principles of algorithms, you will acquire not only problem-solving skills but also creative approaches. Of course, one might avoid algorithms by saying they are rarely used in practice; however, I resonate with the advice I personally received from an OpenAI engineer: that these data structures, algorithms, and mathematical knowledge are intended to trigger "Secondary Learning" for rapid learning and application. Furthermore, in the future, AI will surpass human thought through reasoning models. Therefore, we must move away from mentally stable knowledge activities and continuously push through the pain of thinking to create a stepping stone for growing into a creative and differentiated developer who breaks through their limits.

Features of this course

📌 The goal is to strengthen fundamentals so that developers can become active in Secondary Learning—the process of acquiring further knowledge.

📌 We aim to build the strength to solve algorithm problems on your own through various approaches, rather than simply memorizing them.

📌 We help you grow into a developer who possesses the algorithm problem-solving skills needed to join your desired company, clearly understands which logic needs to be implemented, and is capable of voicing their own opinions.

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

📌 It covers basic concepts of algorithms and advanced topics based on the contents of The Art of Computer Programming, Volume 1.

• The Art of Computer Programming series is a collection of books about which Bill Gates once said that he would boldly hire anyone who has read and understood them all at Microsoft. I have created this lecture by summarizing or restructuring the content of these famous books, which are known for being so difficult that turning a single page feels like an eternity.

  
  

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After taking this course,

• You will gain a perfect understanding of core concepts and build your confidence.
  Through this course, you will fully grasp complex algorithms and data structures, acquiring the creative ability to utilize them freely. This will lead to confidence as a developer and enable you to achieve clear results in every project.

• You will gain clear problem-solving skills.
  Through what you learn in this lecture, you will be able to efficiently solve various problems you encounter in practice. Beyond simply solving a given problem, you will develop the ability to handle it in the most optimal way. As a result, your role within the team will become even more significant.

• You can add a powerful weapon to your portfolio.
  Carry out projects based on the algorithms and techniques covered in the lecture, and add the results to your portfolio. This will provide a strong competitive edge in interviews and set you apart as a developer. After taking this course, your portfolio will become much more substantial.

Roadmap Plan

Through the following roadmap, we aim to help developers break away from mentally comfortable knowledge-based activities and instead use their core strength—by continuously pushing through the pain of deep thinking to transcend their limits. This will enable you to grow into a developer who doesn't just solve problems by memorizing them, but one who can construct their own logic and create a flow of thought to build robust systems.

U.S. Big Tech Algorithm Problem Solving Strategy I

• Concepts and Advanced Topics

  • Basic concepts of algorithms and advanced topics based on the book The Art of Computer Programming, Volume 1 will be covered.

    • The Art of Computer Programming series is a set of books about which Bill Gates once said he would boldly hire anyone at Microsoft who has read and understood the entire series. I have created this lecture by summarizing or restructuring the contents of these famous books, which are known for being so difficult that turning a single page feels like an eternity.

• Example Practice

  • By solving problems using actual concepts with Python code, we build the core that creates a flow of thought using big tech algorithm problem-solving strategy templates.

    
    

    
    

Upcoming Lecture Roadmap Update

New Updates for LeetCode Practice and Concept Lectures

(Big Tech past exam questions and Secondary Learning practice problems)

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

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

- Implementation of brainwave analysis algorithms based on Neuralink BCI device papers and patents

- Implementation of Netflix's recommendation system algorithm

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

- Shortest path algorithm, implementation of the Tesla Robotaxi app shortest path algorithm

The person who created this course

• Silicon Valley Survivor | American Snail

  Based on the experience and know-how gained at the forefront of the Global Tech Scene, I present a path for non-majors to overcome technical barriers and become masters of their business.

  • Current) Founder of a Silicon Valley AI Coding Agent Startup

    • Operating self-developed AI tool 'Snailer CLI' (7K+ downloads)

    • Selected for the Google for Startups Program

  • Former) US Big Tech & Promising Startup Engineer Career

    • Reached the final stage at Amazon, but gave it up to start a business

    • Silicon Valley AI Fintech Startup Engineer

    • OpenAI / Meta / Apple / Adobe / Amazon Full-Stack Fellowship

    • Domestic search engine portal and fintech development

    • AI startup AR/B2B/SDK development

  • Proven Educational Capabilities

    • Double major in Computer Science and Business Administration at a 4-year university in Seoul, with extensive experience in multiple startups.

    • Produced 600+ cumulative students, with 4K+ SNS followers

      
      

Notes before taking the course