Hackathon Prep

Aside from your Hack Pack, we’ve collected a few items here that will be helpful for you to review before we kickoff! Below you’ll find both, BigCommerce & Google specific prep-work to review the weekend before we launch on August 7th!

🏁 Are you ready?

BigCommerce Hackathon Prep

📍 Newcomers, start here:

If you’re new to BigCommerce, or are slightly familiar with us – Welcome!

Here are some resources we highly recommend you review as you plan your strategy & focal point for your app or project are!

Get familiar with building apps via our Apps: Getting Started Documentation.
Our Documentation
API Docs – High level overview of our apis to help you contextualize your project focal point and architect the apis you’ll need to reference.
API Reference – Request bodies, schema & required scopes to help you get started making requests and building!
Our Slack Workspace for Developers, BigCommerceDevs – You can use this as another resource to search for terms that other developers have discussed in the past and to ask questions yourself! This is where the #bigai-hackathon channel is, so be sure all team members are here.

📍 All Hackers:

We didn't want to bombard you all with a ton of prep-work for this Hackathon, but we do want to reiterate the importance of this resource to make sure you and your team are set up for success!

Reviewing this Hack Pack is the #1 prerequisite for this event, as it lays out access requests, guidelines, FAQs, and so much more!

Google Hackathon Prep

Being that many of you may not have worked with Google’s AI tools yet, we are sharing a few items here to help you get onboarded asap! These are all optional!

Getting Started Material (Tailored code samples for our Ingenious Hackers)

Cloud Skills Boost

Generative AI Learning Path (opens in a new tab): This learning path guides you through a curated collection of content on Generative AI products and technologies, from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud.

This learning path currently has several courses listed below:

Introduction to Generative AI (opens in a new tab)
Introduction to Large Language Models (opens in a new tab)
Attention Mechanism (opens in a new tab)
Transformer Models and BERT Model (opens in a new tab)
Introduction to Image Generation (opens in a new tab)
Create Image Captioning Models (opens in a new tab)
Encoder-Decoder Architecture (opens in a new tab)
Introduction to Responsible AI (opens in a new tab)
Introduction to Generative AI Studio (opens in a new tab)
Generative AI Fundamentals (opens in a new tab)
Generative AI Explorer - Vertex AI (opens in a new tab): The Generative AI Explorer - Vertex Quest is a collection of labs for partners on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko.

Google I/O 2023 Announcements + Videos

💥🎥 Video: Recap of Generative AI Announcements (opens in a new tab)
Blog : At Google I/O Generative AI gets to work (opens in a new tab)
Blog : Google Cloud advances generative AI at I/O: new foundation models, embeddings, and tuning tools in Vertex AI (opens in a new tab)
💥🎥 Video : 10 Ways to use Machine Learning with Google Cloud (opens in a new tab)
💥🎥 Video : Utilizing LLMs for Search (opens in a new tab)
💥🎥 Video : Generative AI for conversational experiences (opens in a new tab)
💥🎥 Video : Scaling Large Language Models on Google Cloud (opens in a new tab)

Did you find what you were looking for?