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Test Loom

test module
21 mins
SQLPythonGitAPIsPostgres

Description

Setting up an AI engineering application can be complex, but this lesson guides you through the essential steps. You'll learn how to clone a GitHub repository, create a private repo, set up a Python environment, and install necessary libraries like OpenAI, PubNub, and Superbase. This lesson is ideal for aspiring AI engineers looking to establish a solid foundation for their projects and ensure their applications run smoothly in a cloud environment.

Transcript preview: Test Loom

Hey, everyone. Welcome to the AI engineering app setup. So this is gonna be a little bit overwhelming, but uh it shouldn't take too long for you to set up. We're gonna set up all the services right up front so that we can focus more on the actual AI engineering part of the boot camp as we go into it, right? So, you're gonna want to start here at this uh GitHub dataexpert.io um AI application, um October 2025. So this is gonna be where you want to start, right? So you, you should have that cloned, right? So I have it cloned here, right? You'll see like if I, this is where I have it currently cloned, so you can You can do that by like either doing an SSH clone or an HTTPS clone. Hopefully, you know how to do this with Git. Uh, if not, learn how to do this, set up your SSH keys. That's not something we're gonna cover here. So, um, if you don't, uh, definitely reach out to um the TA's or your groupmates, and they will help you be able to clone this. So then the very next thing you're gonna want to do is create um a private repo under your name. So I'm gonna go ahead and create a new repo. Right, I'm gonna call this repo, I'm gonna call this AI engineering boot camp, right? Uh, AI Engineering bootcamp app. We'll call it AI engineering bootcamp app, right? And then, uh, we should be able to create this as a private repo, choose visibility, make this private.