Algorithm Problem-Solving Strategies for Coding Tests at Major U.S. Tech Companies That Won’t Be Replaced in the AI Era (feat. Bill Gates)

U.S. big tech developers on small teams of around 10 people that generate tens of billions in revenue

At U.S. big tech companies, small teams of around 10 people generate tens of billions of won in revenue through teamwork, with each team member possessing strong capabilities.

U.S. big tech companies demonstrate the reality that teams made up of a small number of outstanding developers generate tens of billions in revenue. These teams are expected to deliver more than just development skills, and among these, algorithms have become one of the keys to their success.

Algorithms are more than just a coding skill; they refer to ways of solving complex problems effectively. The algorithm knowledge you gain through this course will empower you to solve problems faster and more accurately. In particular, at big tech companies, new challenges and complex problems arise every day, and the ability to solve them directly translates into distinctive capabilities.

If you lack an understanding of algorithms, you will ultimately have difficulty solving complex problems. This can reduce the speed and quality of projects and may also undermine trust within the team. In particular, you are likely to encounter your limitations at critical opportunities. As a result, you may experience not only personal stagnation but also a career plateau.

Conversely, if you take this course and build a solid foundation in the basic principles of algorithms, you will develop not only problem-solving skills but also creative approaches. Of course, you could avoid algorithms by saying that they are not used much in practice, but I agree with the advice I personally heard from an OpenAI engineer: these data structures, algorithms, and mathematical concepts are meant to trigger Secondary Learning so that we can learn and apply things quickly. In the future, AI will use thinking models to surpass humans in its ability to think. Therefore, moving forward, we must break away from stable, purely intellectual learning activities and continually challenge ourselves with the pain of thinking, creating a foundation for growth as a creative and differentiated developer who can transcend their limits.

Features of this Course

📌 The goal is to strengthen your fundamentals so that you can become a developer who activates Secondary Learning—in other words, the process of learning and acquiring knowledge for a second time.

📌 Rather than memorizing algorithm problems and solving them, this course helps you develop the ability to approach them in various ways and solve them independently.

📌 We help you develop the ability to solve algorithm problems to join your desired company, become a developer who can accurately determine what logic to implement, and confidently voice your opinions.

📌 Practice structuring your thought process using a dedicated template for solving big tech algorithm problems.

📌 Covers advanced topics based on fundamental algorithm concepts and the book The Art of Computer Programming, Volume 1.

• The Art of Computer Programming series is a book that Bill Gates once said he would boldly hire anyone at Microsoft who had read and understood in its entirety. It is famously so difficult that even turning the pages feels daunting, so we summarized and reconstructed its content into a curriculum to create this course.

  
  

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After completing the course,

• You will gain a perfect understanding of the core concepts and confidence.
  Through this course, you will fully understand complex algorithms and data structures and develop the creative ability to use them with ease. This will lead to confidence as a developer and enable you to achieve tangible results in every project.

• You will gain clear problem-solving skills.
  By applying what you learn in the course, you will be able to efficiently solve various problems you encounter in the workplace. Beyond simply solving given problems, you will develop the ability to handle them in the optimal way. As a result, your role within the team will become even more important.

• You can add a powerful asset to your portfolio.
  Work on a project based on the algorithms and techniques covered in the course, and add the result to your portfolio. This will give you a strong competitive edge in interviews and make you a distinctive developer. After taking this course, your portfolio will be even richer.

Roadmap plan

Through the roadmap below, we aim to help developers move beyond mentally comfortable knowledge-based activities, continually challenge themselves to push past their limits, and grow into developers who can use their core abilities to build their own logic, create a flow of thought, and construct solutions rather than memorizing problems and solving them.

U.S. Big Tech Algorithm Problem-Solving Strategies I

• Concepts and Advanced Topics

  • We cover the basic concepts of algorithms and advanced topics based on the contents of The Art of Computer Programming, Volume 1.

    • The The Art of Computer Programming series is a book that Bill Gates even said he would boldly hire anyone who read and understood it all at Microsoft. It is a famous book that is so difficult and daunting that even turning the pages feels overwhelming, so I reconstructed its content through a summary and curriculum and created this course.

• Example practice session

  • Using Python code to solve problems based on real-world concepts, you will build the core that shapes your thought process with a big-tech algorithm problem-solving strategy template.

    
    

    
    

Course roadmap to be updated later

New updates to LeetCode exercises and concept lectures

(Big Tech interview questions and Secondary Learning practice problems)

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

- Meta mobile application UI hierarchy debugging tree algorithm implementation

- Implemented a brainwave analysis algorithm based on Neuralink BCI device papers and patents

- Implementing Netflix's recommendation system algorithm

- Implementing Google's large-scale ad allocation optimization algorithm

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

The person who created this course

• Silicon Valley Survivor | American Snail

  Based on experience and know-how gained at the forefront of the global tech scene, I show non-majors the path to overcoming technical barriers and becoming the owners of their businesses.

  • Current) Founder of a Silicon Valley AI coding & local model fine-tuning agent startup

    • Developed and operated Closiro CLI/Mac Desktop (20K+ downloads)

    • Selected for the Google for Startups Program

    • Selected for the Anthropic for Startups Program

  • Formerly an engineer at U.S. big tech companies and promising startups

    • Gave up the final stage at Amazon to start a company

    • Silicon Valley AI Fintech Startup Engineer

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

    • Domestic search engine portal, fintech development

    • AI Startup AR/B2B/SDK Development

  • Proven teaching expertise

    • Double major in Computer Science and Business Administration at a four-year university in Seoul, with extensive startup experience

    • Over 600 students enrolled to date, with 4K+ social media followers

      
      

Notes Before Enrollment