AI Era Big Tech System Design & Open Source Practical Contribution Complete Course That Won't Be Replaced
# 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.
438 learners
Level Intermediate
Course period Unlimited
Improving open source lectures and releasing actual code as open source
Based on the feedback received on the open-source course, and to help you develop the mindset and capabilities of xAI engineers, I am improving the curriculum and course content.
Based on the content you've provided, and to help you develop the mindset and capabilities of xAI engineers, we are improving the curriculum and lecture content.
So we have open-sourced the token-saving module, which is one of the core modules in Snailer's code.
The exact same code that's applied to Snailer is implemented, and
a process where you can register issues and contribute actual code that gets reflected in the product
It will be provided so that you can contribute to open source.
After that, it can be added to your resume and portfolio.
And when distributed by version, it will be directly applied to the Snailer agent, and the GitHub names of contributors will be publicly listed on threads and GitHub. Currently at version 0.1.0
And when deployed by version, it will be directly applied to the Snailer agent along with threads and
We plan to publicly list the GitHub names of contributors on GitHub.
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Currently, version 0.1.0 has been released as a Rust cargo library for the LLM agent token saving module.
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When you submit your open source mission, please include your GitHub nickname so we can confirm you are a student and add you to the list
Contributors will be publicly recognized through my threads and posts from the snailer-team account. Additionally,
We plan to send commemorative gifts to contributors to celebrate their contributions.
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[Link disclosed only to students]
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And the current Snailer code has been synchronized to the repository below.
[Link only available to students]

