On this week’s episode of the podcast, I interview Elliot Arledge. He’s a 20-year old computer science student who’s created several popular freeCodeCamp courses on LLMs, the Mojo programming language, and GPU programming with CUDA. He joins us from Edmonton, Alberta, Canada.
We talk about:
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Building AI systems from scratch
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How Elliot has learned so much so quickly and his methods
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How he approaches reading academic papers
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His CS degree coursework VS his self-directed learning
In the intro I play the 1988 Double Dragon II game soundtrack song “Into the Turf”.
You can watch the interview on YouTube:
Or you can listen to the podcast in Apple Podcasts, Spotify, or your favorite podcast app. Be sure to follow the freeCodeCamp Podcast there so you’ll get new episodes each Friday.
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Links we talk about during our conversation:
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Elliot’s Mojo course on freeCodeCamp: https://www.freecodecamp.org/news/new-mojo-programming-language-for-ai-developers/
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Elliot’s CUDA GPU programming course on freeCodeCamp: https://www.freecodecamp.org/news/learn-cuda-programming/
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Elliot’s Python course on building an LLM from scratch: https://www.freecodecamp.org/news/how-to-build-a-large-language-model-from-scratch-using-python/
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Elliot’s YouTube channel: https://www.youtube.com/@elliotarledge
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Elliot’s many projects on GitHub: https://github.com/Infatoshi
Source: freeCodeCamp Programming Tutorials: Python, JavaScript, Git & MoreÂ
