# Silicon Valley Internship That Won't Get Cut Even in the AI Era & Complete Course on 30 Big Tech System Designs & Open Source Practical Contributions All students who submit course missions can apply for an AI startup internship in Palo Alto, USA, with exemption from document screening and guaranteed interview opportunities. This course involves designing and scaling 30 real-world system designs based on big tech cases including Netflix, Tesla, Meta, and Tinder. Finally, you'll design your own service from architecture → DB → scaling, contribute to an actively operating open source AI coding agent project (achieving 1.8k downloads per week) to complete your portfolio, and finalize your resume.
422 learners
Level Intermediate
Course period Unlimited
Backend
Database Design
OOD Design
System Design
AI Agent
Open source
Design 30 systems including Netflix, Tesla, Meta, and Tinder yourself within 6 weeks,
This is a course that completes even your open source portfolio all at once.
1. Hands-on experience designing 30 real-world Big Tech systems
- Netflix, Tesla FSD, Meta, Spotify, CI/CD Pipeline, etc.
- Practice distributed systems, DB, cache, MQ, failure recovery, and scaling at actual interview level
2. Full design from your own service architecture → DB → scaling
- SLO quantification → requirements definition → architecture → data model → scaling plan
- Final project template provided for inclusion in portfolio/resume
3. Contribute PRs to a live open-source AI coding agent
Download Rust-based CLI agent (Snailer) to
Send at least 1 or more PRs,
Upon first PR merge, gain Collaborator access + secure practical OSS experience for your resume
Silicon Valley Interview Released
I conducted an interview at Stanford with the author of AI newsletter 'Noon.oji', who comes from JoCoding. It covers how I'm applying the system design from this course to the startup I'm currently running in Silicon Valley.
👉 Full EO Article Interview: The Secret of Irreplaceable People Learned in Silicon Valley (Developer Edition)
Surviving in Silicon Valley: The Story of a Developer Who Grew from Junior to Senior in One Year https://eopla.net/magazines/35688
Thread
The secrets of system design at Silicon Valley Big Tech. Learn distributed systems, DB, scaling & interview preparation in a practical way through case studies of Tesla FSD, Netflix streaming, and Meta infrastructure.
At the end, you'll design your own service and complete everything from SLO quantification→architecture→data model→scaling.
Outstanding work will be featured as a reference on Thread(3.4K+)/Substack(300+), becoming strong evidence for your portfolio/resume. If desired, your LinkedIn/resume link will be included → serving as direct proof to recruiters
Through interviewing with various US big tech companies like Apple, Meta, Tesla, and Snapchat, I deeply realized that American global companies are organizations that handle terabytes of data and constantly think about their users. As a result, the bar has been raised for US global companies to evaluate resumes from 1,000 or even 10,000+ candidates, making algorithm and system design capabilities increasingly 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 training with engineers from various big tech companies like Apple, Google, Netflix, Meta, and OpenAI, pair programming and discussion-based classes with talented individuals from the US, India, China, and other countries, I received education 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 this practical course based on real systems. By sharing this with you, at a time when the US and China are engaged in an IT war over AI dominance, I hope this course serves as a stepping stone to help engineers from the US, China, and Korea not just be engineers who simply adopt recipes, but to understand the core essence and build the capability to implement new things. This is the vision and purpose of this course.
- Global Service Design
- Netflix, Tesla FSD, Spotify, CI/CD pipelines, etc.
Based on real-world cases, we deeply cover "how it was designed and what trade-offs were chosen."
- Database & Object-Oriented Design
- RDBMS vs NoSQL, sharding/indexing, cache strategies, and OOD design principles
Practice with real-world examples.
- Machine Learning System Design (NEW)
- Using Tesla FSD style pipeline (training→deployment→monitoring) as an example
Explains the architecture for deploying ML models to actual production.
- Large-scale Traffic Scaling & Failure Recovery Design
- LB, CDN, MQ, Redis/Cache, Blob(S3), WebSocket, Proxy, Telemetry, etc.
Structure it to a level that can be explained in interviews.
- Ongoing Q&A / 1 Year of Additional Learning Materials Support
- Feel free to ask questions about system design even after completing the course
- FAANG and US/domestic company interview preparation scenarios and algorithm content 1-year membership provided free
Provides FAANG or US AI companies / Korean top-tier companies interview questions and interview strategies
Practical scenario-based system design and algorithm content
Developers & Students
Developers/students preparing for job applications/career changes at Big Tech/global or domestic companies
Lead Developers & Architects
Lead developers/architects who need to design new services from scratch
I'm curious about the design process.
Those who want to prove differentiated system design capabilities in interviews
- In interviews, you can define SLOs numerically and explain your design while identifying failure/bottleneck points.
- Based on 30+ real-world system design examples, you can answer scalability and reliability design questions with trade-offs.
- You can document your own service from requirements → architecture → DB design → scaling plan and include it in your portfolio.
- You can include actual PR links/evidence of contributions to an open-source AI coding agent with 3.4K+ cumulative downloads on
You can add it to your resume and LinkedIn.
- If desired, outstanding designs will be featured as references on my Threads / Substack / community channels so they can be used in your resume portfolio.
You will work on a project to design your own service from start to finish as the final course project.
Outstanding designs will be featured as official references.
(so you can add it to your resume or portfolio)
When agreed, on Thread channel (3.4K+) and Substack (paid subscription newsletter 300+)
We will feature it as an excellent design reference.
If desired, we will also promote your LinkedIn/resume link. (Includes subscriber community from major companies like Kakao, CJ, etc.)
Update: Silicon Valley Real-World Application & Open Source Track
- Currently 5.1K+ cumulative downloads - Operating a Rust-based CLI AI coding agent (Claude Code/Codex workflow) in production.
- We've made this agent available as a Public Repo, allowing students to make open source contributions.
- An open source contribution guide course has also been added.
Career Benefits
- Once your first PR is merged, you'll be granted Collaborator privileges (branch protection · PR required) → Resume/portfolio listing examples provided
- Secure demonstrable evidence (documents, diagrams, OSS contributions) that directly connects to employment/career transitions.
Feel free to leave your questions in Q&A. Your design can be cited as an actual reference!
Who is this course right for?
People who want to join Big Tech companies in Silicon Valley
For those who need new service design
Those who want higher growth as a developer
Those who are preparing for employment or preparing for a job change
Need to know before starting?
Computer Science
585
Learners
24
Reviews
26
Answers
4.5
Rating
4
Courses
2025.06 ~ 현재:
미국 실리콘밸리 AI Coding Agent 스타트업 창업 (ex. Claude Code, Codex)
스레드 3.4K 시스템 디자인, 실리콘밸리, 테크, AI 글 계정 운영중 (rich_I_2024)
2024.05 ~ 2025.05:
미국 실리콘밸리 AI 핀테크 스타트업, 소프트웨어 엔지니어
2023.08 ~ 2024.04:
미국 빅테크(OpenAI, Meta, Apple, etc) 엔지니어 펠로우십 풀스택 소프트웨어 엔지니어 펠로우
~2022.10 @국내 기업 재직(검색포털/핀테크, AI)
All
67 lectures ∙ (26hr 51min)
Course Materials:
All
16 reviews
4.8
16 reviews
Reviews 41
∙
Average Rating 5.0
5
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.
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.
Reviews 4
∙
Average Rating 5.0
5
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.
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.
Reviews 5
∙
Average Rating 4.0
4
The lecture content is really good, but... you say "uh" too much, so it's really distracting to listen to the lecture.
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.
Reviews 50
∙
Average Rating 5.0
5
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.
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.
Reviews 4
∙
Average Rating 5.0
Edited
5
Thank you for creating the course. It was great to get a taste of the architecture of various services. The content is good for beginners who are new to system design. Overall, the only downside seems to be the delivery. The delivery and editing were not smooth, making it difficult to concentrate. It would be good to cut out unnecessary parts through editing. I hope you continue to create good content in the future. updated: I thought the first two sections were fine. The schema and OOP system design parts were a bit lacking. It would have been helpful to show the overall interview picture or outline before starting and say, "It's good to talk to or ask the interviewer about these points here." Still, I'm very grateful that you seem to be constantly revising the course :)
Could you provide a specific example of what was ambiguous, overly simplified, or lacked clarity? Were the component concept lectures updated, and was the system design lecture lacking in comparison? In cases where concepts were explained earlier, I briefly skipped over some things due to the 45-minute time constraint to maximize time for the Big Tech system design interview. Thank you for the feedback.
Thank you for your update feedback. I will continue to improve and make it a better lecture.
Limited time deal
$115.50
24%
$152.90
Check out other courses by the instructor!
Explore other courses in the same field!
![[4-Week Completion] Clean Architecture with AI for Senior Developer Advancement강의 썸네일](https://cdn.inflearn.com/public/files/courses/339355/cover/01k8ags08xj5tpgyrpv77hkj21?f=avif&w=420)
![[Inflearn Award Bestseller] How to Become an AI Automation Expert Without Coding, The Complete n8n Guide강의 썸네일](https://cdn.inflearn.com/public/files/courses/337053/cover/01jrkjt8emye2z7j7846br3vkk?f=avif&w=420)
