Silicon Valley Internship and 30 Big Tech System Design & Open Source Practical Contribution Completion Course that survives even in the AI era. All students who submit their missions can apply for an internship at a local AI startup in Palo Alto, USA, and will be granted an interview opportunity with a document screening waiver. This course involves designing and scaling 30 practical system designs based on Big Tech cases such as Netflix, Tesla, Meta, and Tinder. Finally, you will design your own service from architecture to DB to scaling, and complete your portfolio and resume by contributing to an actual operational open-source AI coding agent project (which has achieved 8.6K+ cumulative downloads).
459 learners
Level Intermediate
Course period Unlimited
Reviews from Early Learners
5.0
Chanuk
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.
5.0
인프런 럭끼
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.
5.0
주아아빠
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.
Backend
Database Design
OOD Design
System Design
AI Agents
Open Source
Design 30 systems for Netflix, Tesla, Meta, and Tinder yourself within 6 weeks,
This is a course where you can even complete your open-source portfolio all at once.
1. Hands-on experience designing 30 real-world system architectures from Big Tech
- Netflix, Tesla FSD, Meta, Spotify, CI/CD pipelines, etc.
- Practice distributed systems, DB, cache, MQ, disaster recovery, and scaling at an actual interview level
2. Full design from your own service architecture to DB and scaling
- SLO Quantification → Requirements Definition → Architecture → Data Model → Scaling Plan
- A template will be provided for the final project so that it can be included in your portfolio/resume.
3. Contribute PRs to an open-source AI coding agent currently in operation
To the Rust-based CLI agent (Snailer) download
Submit at least one PR, and
Upon merging your first PR, you will receive Collaborator permissions + gain practical OSS experience that can be added to your resume.
Silicon Valley Interview Revealed
I conducted an interview at Stanford with the author of the AI newsletter 'Noonoji', who is also an alumnus of JoCoding. We discuss how I am applying the system design from this lecture to the startup I am currently running in Silicon Valley.
👉 Full EO Article Interview: The Secret of Irreplaceable People Learned in Silicon Valley (Developer Edition)
Surviving Silicon Valley: The Story of a Developer Who Grew from Junior to Senior in Just One Year https://eopla.net/magazines/35688
Threads
System Design Secrets of Silicon Valley Big Tech. Learn distributed systems, DB, scaling, and interview preparation in a practical way using cases like Tesla FSD, Netflix streaming, and Meta infrastructure.
Finally, you will design your own service and complete everything from SLO quantification → architecture → data model → scaling.
Outstanding projects will be featured as references on Thread (3.8K+) / Substack (420+), serving as powerful evidence for your portfolio/resume. If you wish, your LinkedIn/resume link can be included → providing direct evidence to recruiters.
Through my experience interviewing with various US Big Tech companies such as Apple, Meta, Tesla, and Snapchat, I deeply realized that global companies in the US are groups that handle terabytes or more of data while always prioritizing the user. Consequently, the barriers for these global US companies to evaluate resumes from 1,000 or even 10,000+ applicants have risen, making algorithm and system design capabilities more critical than ever.
Additionally, those currently working on side projects alone will be able to take the initiative in determining what kind of system design is needed to create a strong portfolio.
I have created this hands-on lecture based on real-world systems, drawing from my experience receiving small-group training from engineers at various Big Tech companies like Apple, Google, Netflix, Meta, and OpenAI. This included pair programming and discussion-based classes with talented individuals educated in the US, India, and China, covering curricula such as system design, algorithms, frontend, DB design, and OOD design, as well as my experience interviewing with Apple, Tesla, and Meta. My vision and goal for this course is to share this with you and provide a stepping stone amidst the current IT war for AI supremacy between the US and China. I want to empower you to become engineers who don't just follow recipes, but truly understand the core essence and can implement new innovations, standing shoulder-to-shoulder with engineers from the US and China.
- 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 a Tesla FSD-style pipeline (Training → Deployment → Observation) as an example
Explains the structure of deploying ML models into actual production.
- Large-scale traffic scaling & disaster recovery design
- LB, CDN, MQ, Redis/Cache, Blob(S3), WebSocket, Proxy, Telemetry, etc.
Structure it to a level that can be explained in an interview.
- Continuous Q&A / 1 year of additional learning materials support
- You can freely ask questions about system design even after completing the course.
- Free 1-year membership for scenario and algorithm content to prepare for interviews at FAANG and US/domestic companies
Providing past interview questions and interview strategies for FAANG, US AI companies, and top Korean tech companies (Naver, Kakao, Line, Coupang, Baemin, Danggeun, Toss).
Providing practical, scenario-based system design and algorithm content
Recommended for the following people
- Those who are preparing for employment or career moves in Korea and want to reach the Silicon Valley Big Tech system design interview level
- Entry-level/junior developers who lack actual service design/operation & open-source contribution experience to include on their resumes
- Those preparing for a lead/architect position where they must design a new service from scratch
- Those who have only thought, "I want to try applying to a US/global company at least once," but haven't been able to take action.
- Those who want to challenge themselves to reach an algorithm Leetcode rating of 1800+ - Special study materials promotion with a free 1-year membership provided
Developers & Students
Developers/university students preparing for employment/career change at big tech/global or domestic companies
Lead Developers & Architects
Leads/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 will be able to define SLOs numerically and explain designs while identifying failure/bottleneck points.
- Based on more than 30 practical system design examples, you can answer scalability and reliability design questions by incorporating trade-offs.
- You can document your own service from requirements → architecture → DB design → scaling plan and include it in your portfolio.
- Actual PR links/evidence of contributing to an open-source AI coding agent with over 8.6K cumulative downloads
You can include this on your resume and LinkedIn.
- Upon request, excellent designs will be featured as references on my Threads, Substack, and community channels so they can be used in your resume portfolio.
Design your own service from start to finish as the final course project.
Outstanding designs will be featured as official references.
(So that you can add it to your resume or portfolio)
Upon consent, to the Thread channel (3.8K+) and Substack (paid subscription newsletter 420+)
It will be introduced as an excellent design reference.
If desired, your LinkedIn/Resume link will also be promoted. (Including subscriber communities from major corporations such as Kakao and CJ)
Update: Silicon Valley Practical Application & Open Source Track
- Current cumulative downloads 8.6K+ - Currently operating a Rust-based CLI AI coding agent (Claude Code/Codex workflow).
- We will release the agent as a Public Repo so that students can make open-source contributions.
- An Open Source Contribution Guide lecture has also been added.
[1.25/2026 Update]
- We have released the Rust library for token compression used in AI coding agents as open source. This library is applied to actual services, and we have made it possible for students' contributions to be merged so they can be reflected in their portfolios or resumes. Below is the repository for that GitHub.
[3/2026 Update]
The Snailer multi-model coding agent is being released and distributed as an open-source GUI desktop app for Mac, serving over 8.6K+ users.
Career Benefits
- Once your first PR is merged, you will be granted Collaborator permissions (branch protection
, PR required) granted → Resume/Portfolio entry examples provided
- Secure demonstrable evidence (documents, diagrams, OSS contributions) that directly leads to employment or career transitions.
Please feel free to leave your questions in the Q&A. Your designs could even be cited as actual references!
Who is this course right for?
Those who want to join a Silicon Valley Big Tech company
Those who need new service design
Those who want to achieve higher growth as a developer
Those who are looking for a job or preparing for a career change
Need to know before starting?
Computer Science
627
Learners
26
Reviews
32
Answers
4.5
Rating
4
Courses
Silicon Valley Survivor | US 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 leaders of their own businesses.
Current) Founder of a Silicon Valley AI Coding Agent Startup
Operating self-developed AI tool 'Snailer CLI' (8.8K+ downloads)
Selected for the Google for Startups Program
Former) US Big Tech and 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 multiple entrepreneurial experiences
Produced 600+ cumulative students, 3.8K+ SNS followers, and 420+ Substack educational content subscribers.
All
74 lectures ∙ (29hr 3min)
Course Materials:
All
17 reviews
4.8
17 reviews
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
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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.
Reviews 5
∙
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 44
∙
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 5
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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.
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