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Learning System Design through 29 Hands-on Practices from Silicon Valley Big Tech

This is a system design process for actually designing US Big Tech systems.

(4.7) 11 reviews

394 learners

  • americasnail
이론 실습 모두
데이터모델링
DB스키마
모델링
DB_테이블_설계
software-design
system-design

Reviews from Early Learners

What you will learn!

  • Backend

  • Database Design

  • OOD Design

  • System Design

🚀 Silicon Valley Big Tech's System Design Secrets: How Do Tesla, Netflix, and Meta Design Global Services?🤔

Tesla's autonomous driving FSD(Full Self-Driving), Netflix's global streaming system, Meta's massive data infrastructure…
How are these enormous systems designed?
US Big Tech companies must provide fast and stable services while handling billions of users.
This course covers everything from distributed system design, database design, scalability techniques, interview questions and preparation methods actually used in Big Tech.

Through interview experiences with various American big tech companies like Apple, Meta, Tesla, and Snapchat, I deeply realized that America is a collective that handles terabytes of data at global companies while always thinking about users. As a result, the barriers have become higher for American global companies to evaluate resumes from thousands or tens of thousands of candidates, and algorithm and system design capabilities have become important.

Additionally, those who are currently working on side projects alone will be able to proactively determine what kind of system design would make a good portfolio.

Through small group education with various big tech engineers from Apple, Google, Netflix, Meta, OpenAI, and others, along with pair programming and discussion-based classes with talented individuals educated in various countries including the US, India, and China, I received training in curricula such as system design, algorithms, frontend, DB design, OOD design, and more. Based on my experience interviewing with companies like Apple, Tesla, and Meta, I created practical lectures based on real systems. By sharing this with you all, at a time when the US and China are engaged in an IT war over AI supremacy, the vision and purpose of this lecture is to use it as a stepping stone to help Korea, the US, and China stand side by side - not as engineers who simply take and use recipes, but to build the strength to understand the core essence and implement new things from an engineering perspective.

Features of This Course

💡 Global Service Design

  • Learn how large-scale services are designed and achieve scalability, such as Netflix, Tesla's autonomous driving FSD(Full Self-Driving), Spotify, and CI/CD pipelines.

💡 Database and Object-Oriented Design Practice

  • Learn database design for efficiently managing complex data and object-oriented design (OOD) principles through practical examples.

💡 Machine Learning System Design (NEW!)

  • Learn the training, deployment, and operation methods of machine learning models like Tesla's autonomous driving FSD, and practice everything from the basics of ML system design to scalable architectures.

💡 System Design Scaling

  • You will learn the roles of system components that handle large-scale traffic, scaling techniques, and failure recovery design.

💡 Big Tech Interview Preparation

  • We provide the core competencies required in system design interviews at Silicon Valley big tech companies and specific methods for answering.

💡 Continuous Learning Support

  • We provide a learning environment where you can freely ask questions about system design and receive answers even after the course ends.

🔥 Special Learning Materials Promotion Membership Support

  • FAANG or US AI companies/ Domestic Naver-Kakao-Line-Coupang-Baedal-Danggeun-Toss interview questions, interview strategy provided

  • Practical scenario-based system design and algorithm content provision


🔥Key Content You'll Learn in This Course

Analysis of global service distributed systems like Netflix, Tesla, Spotify, and Meta
Large-scale system design & scaling strategies using AWS, GCP, and Kubernetes
Distributed database & object-oriented design (OOD) practice for processing terabyte (TB)-level data
Hands-on practice from Tesla FSD (autonomous driving) machine learning system design to training, deployment, and operations
Silicon Valley Big Tech interview preparation: Complete guide to actual question patterns & answer methods
End-to-end design of global services

Deepseek system design and scaling deep dive update based on research papers completed.

I recommend this for people like this

Developers & Students

Preparing for employment and career transitions at Silicon Valley Big Tech companies for developers & students

Lead Developer & Architect
For those who want to grow as engineers with the capability to design large-scale services

I'm curious about the design process.
For those who want to develop differentiated system design capabilities in interviews

After taking the course

🎯 You will develop a creative approach to designing global services.
🎯 You will be able to confidently solve system design problems in big tech interviews.

🚀 Now, experience Silicon Valley Big Tech's system design firsthand! 🚀

The person who created this course

  • 2024.05 ~ Present: Software Engineer at AI Startup in Silicon Valley, USA

  • 2023.08 ~ 2024.04: US Big Tech Engineer Fellowship Full-Stack Software Engineer Fellow



Pre-enrollment Reference Information

Practice Environment

  • Excalidraw


Learning Materials

  • I'll provide it as PPT materials.

Prerequisites and Important Notes

  • Practice Environment

    • Operating System and Version (OS): OS types and versions such as Windows, macOS, Linux, Ubuntu, Android, iOS, etc.

    • Tools used: Excalidraw website diagram tool

  • Learning Materials

    • PPT

  • Prerequisites


    • Computer Science

Recommended for
these people

Who is this course right for?

  • Silicon Valley Big Tech Aspirants

  • Anyone who needs new service design

  • Developers seeking higher growth

Need to know before starting?

  • Computer Science

Hello
This is

546

Learners

18

Reviews

23

Answers

4.3

Rating

4

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  • ~2022.10 @국내 기업 재직(검색포털/핀테크, AI)

     

Curriculum

All

60 lectures ∙ (25hr 31min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

11 reviews

4.7

11 reviews

  • powudt9327님의 프로필 이미지
    powudt9327

    Reviews 4

    Average Rating 2.8

    3

    60% enrolled

    The subject of the lecture itself is very good, but on the contrary, the lecture as a whole feels very unrefined. The specific details are as follows: - The lecture lacks unity as it goes from the first to the last lecture. You will think, why didn't you do it this way before? - It is a raw lecture with no editing at all. There are quite a few places where the speaker stutters or says "uh" or where the audio is blank for more than 5 seconds. When the audio is blank, you check to see if the network is disconnected, which distracts you from concentrating. - In particular, in the Meta System Design section, there is a constant buzzing sound throughout the lecture, and the instructor's voice sounds a little distorted. At least the Meta section should be re-uploaded. - Also, as a minor point, you can sometimes hear Bluetooth connection sounds during the lecture.

    • americasnail
      Instructor

      Thank you for your feedback. First of all, I apologize for the inconvenience. We will reflect on this in the new update and provide the video again. Thank you again.

  • luc77y님의 프로필 이미지
    luc77y

    Reviews 4

    Average Rating 5.0

    5

    51% enrolled

    It was great to learn how to design systems to solve complex problems through various corporate cases! It was fun to learn concepts with examples, and I could understand in which situations the concepts would be used. Visualizing the design with Excalidraw was also a great help in learning! Thank you for the great lecture.

    • americasnail
      Instructor

      Hello! Thank you for enjoying the lecture and leaving a good review. We will continue to strive to provide more useful lectures in the future.

  • narciso님의 프로필 이미지
    narciso

    Reviews 36

    Average Rating 5.0

    5

    100% enrolled

    I listened to the lecture carefully. The technical content was explained in a friendly and easy-to-understand way, so it felt like a skilled senior was teaching me. Personally, I had a few regrets. First, the sound was too low and the sound quality was not good, so it was difficult to listen to the lecture. There was a lot of explanation about the API specifications, but I felt it was unnecessary for me. Instead, I wish there had been a more in-depth explanation of system design methodology and scaling. In such cases, what components can be considered, what are the advantages and disadvantages of each (although it was explained in Section 2), and what problems and improvements might arise during actual use. Despite this, it was a lecture that I learned a lot from. The instructor said that he would continue to update the lecture and lecture materials, and that he would improve the lecture quality by using a high-quality microphone in the future, so I look forward to it.

    • americasnail
      Instructor

      Hello, thank you for your review. We are currently waiting for a microphone with specifications such as noise cancellation to improve the quality of the lectures. 😭 We will update the quality of the lectures and the quality of the lectures by reflecting the contents you wrote in the review from mid-January. Thank you again. We will continue to work to create better quality lectures in the future.

  • loomin100님의 프로필 이미지
    loomin100

    Reviews 4

    Average Rating 3.8

    4

    47% enrolled

    The lecture content is really good, but... you say "uh" too much, so it's really distracting to listen to the lecture.

    • americasnail
      Instructor

      Thank you for your good feedback. I tried to fix it in the algorithm lecture. I plan to gradually update the lecture to a version without uh in the future. Thank you for taking the lecture, and I will repay you with a better lecture in the future.

  • dongheekim359님의 프로필 이미지
    dongheekim359

    Reviews 50

    Average Rating 5.0

    5

    9% enrolled

    This is the first time I've had a good design lecture in Korea. The content is really good. Please record the next lecture with the audio a little louder. I look forward to other good lectures. Be healthy and happy.

    • americasnail
      Instructor

      Thank you for taking the class. I will continue to strive to provide better lectures in the future :) I hope you always stay healthy and have a good day.

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