Welcome to the Snowflake GHW: Cloud Week Challenge Page!

Hello hackers! Snowflake gives you the data power to build innovative projects.

Focus on coding, not infrastructure. Snowflake handles the heavy lifting in the cloud!

If you’re looking for a new way to build with data, check out Snowflake’s challenges below!

Getting Help

• If you have any questions about Snowflake or their Global Hack Week challenges, head to the MLH Discord and find the #ask-Snowflake channel!
• Each challenge is accompanied by helpful documentation
• If you need additional resources, you can find them at the bottom of this page!

Challenges

Challenge 1

Sign up for a Snowflake student account

Objectives:

• Find out first hand how easy it is to get started with Snowflake.
• Create your free student account using the Snowflake Signup Page.
• Share a screenshot of your account home page on our submission form!

Challenge 2

Interact with the Snowflake Community

Objectives:

• Join snowflake developer community and post an intro on the GHW event thread.
• Share a screenshot on our submission form!

Challenge 3

Complete introductory quickstart from workshop

Objectives:

• Attend the Snowflake “How to build an LLM-powered Agent in < 5 minutes on Snowflake” workshop on Day 1 of GHW Data Week!
• Couldn’t join? No problem! View the workshop recording on the MLH Youtube Channel or check out the workshop repository here.
• Complete the introductory quickstart using the workshop’s step by step instructions and submit your solution to our Devpost Page!

Challenge 4

End to end LLM challenge

Objectives:

• Complete the following Snowflake community challenge and submit your solution to our Devpost Page!
• HINT: Check out Snowflake’s second workshop for a walk-through on how to complete this challenge.
  • Couldn’t join? No problem! View the workshop recording on the MLH Youtube Channel or check out the workshop repository here.

Challenge 5

Use Snowflake to complete any of this week’s challenges

Objectives:

• Snowflake is a great tool for data that you can apply to a bunch of our other GHW challenges.
• Share a screenshot on our submission form!