Welcome to Oracle Database's GHW: AI/ML Week Challenges!

Hello hackers! Did you know that the world runs on Oracle Database?

94% of Fortune Global 100 use Oracle Database, and 14 of the top 15 banks in the Fortune Global 500 list use Oracle Database on their Exadata platform. 

By completing the challenges below, you’ll gain hands-on experience with the same technology behind some of the world’s most innovative companies.

It’s a chance to build valuable skills, tackle real-world challenges, and set yourself apart as you prepare for your future career.

Getting Help

• If you have any questions about Oracle or their Global Hack Week challenges, head to the MLH Discord and find the #ask-oracle channel!
• Each coding challenge is accompanied by a LiveLabs tutorial that will walk you through each challenge step by step

Registration Challenges

Registration Challenge 1

Sign up and download 23ai VirtualBox

Head over to the Sign up and download 23ai VirtualBox to get set up with a new account.

• Share a screenshot of your account signup on our submission form!

Registration Challenge 2

Create an account and Sign in for LiveLabs

Create an Oracle LiveLabs account so you can leverage Oracle's LiveLab tutorials and complete the rest of their coding challenges!

• Share a screenshot of your account signup on our submission form!

Coding Challenges

Coding Challenge 1

Build and Run the RAG Application with Oracle AI Vector Search and LangChain (30 mins)

Objectives:

Build and run the RAG application with Oracle AI Vector Search and LangChain

Steps to Complete:

• Complete lab 1 via this link
• Share a screenshot of your lab completion on our submission form!

Coding Challenge 2

Run the same RAG Application from the previous Oracle challenge interactively (10 minutes)

Objectives:

Run the same RAG application as the previous coding challenge interactively using a simple user interface.

Steps to Complete:

• Complete lab 2 via this link
• Share a screenshot of your lab completion on our submission form!

Coding Challenge 3

Create an Oracle Machine Learning (OML) notebook from scratch (30 minutes)

Objectives:

Sign into Oracle Machine Learning UI, and create an Oracle Machine Learning (OML) notebook from scratch using the notebook environment, and explore the features.

Steps to Complete:

• Complete lab 1 via this link
• Share a screenshot of your lab completion on our submission form!

Coding Challenge 4

Intro to Oracle AI Vector Search using SQL - Vector DDL, DML and Queries (30 mins)

Objectives:

Learn how to use Vector data with regular relational tables. You’ll explore creating tables with Vector columns, performing DDL operations, and using DML for manipulation.

Steps to Complete:

• Complete lab 1 via this link
• Share a screenshot of your lab completion on our submission form!

Coding Challenge 5

Intro to Oracle AI Vector Search using SQL- Vector Distance (30 mins)

Objectives:

Explore the Vector_distance() function for performing similarity searches.

Steps to Complete:

• Complete lab 2 via this link
• Share a screenshot of your lab completion on our submission form!pletion on our submission form!

Additional Resources

• Try DB 23ai Free
• Get Oracle Autonomous Database for free
• Oracle AI Vector Search