Hands-on Workshop: How to Build Algos by Ocean Protocol
Workshop details
Location: Sheraton Centre Toronto Hotel 123 Queen St W, Toronto, ON M5H 2M9, Canada
Date: 05/162025
Time: 1:00 PM
Bring your laptop – this is a hands-on session!
Limited Spots Available – Register Now!
Join us for an interactive, hands-on workshop exploring Ocean Nodes and decentralized AI computing. Learn how developers, data scientists, and Web3 builders can leverage Ocean’s technology to run AI algorithms on private data without exposing raw information.
No prior AI development experience is required.
What You’ll Need:
Laptop with an internet connection
Visual Studio Code (installed)
A basic understanding of Python or JavaScript helps but is not required
What You’ll Learn
Introduction to Ocean Nodes & Compute-to-Data
Deploying AI algorithms
Hands-on coding session using Ocean’s VS Code extension
Who Should Attend
-Web2 or Web3 developers exploring decentralized tech
-AI beginners and ML enthusiasts
-Data professionals interested in privacy-preserving compute
-Developers who want a fast, practical intro to deploying AI jobs
Hands-On Use Cases
You’ll walk away with practical skills by working on one of the following real-world AI workflows:
1. A price prediction model using machine learning
2. Image processing using privacy-preserving compute
3. Rug-pull detection for decentralized exchange (DEX) activity
Each individual will be guided through setting up, running, and analyzing their chosen AI task.
Prizes
We’re giving away 4,500 FET in total:
🏆 3 x First Place individual – 1,000 FET each
🥈 3 x Runner-Up individual – 500 FET each
Winners are going to be selected based on creativity, execution, and use of Ocean’s tech stack
Join our discord channel for more information: https://discord.gg/gxjXhR34BP
About Ocean Protocol
Ocean Protocol is building the infrastructure for decentralized AI by enabling secure, privacy-preserving access to data and computing. With Ocean Nodes, developers can tap into a global network of distributed computing power. Through Compute-to-Data, algorithms run directly where data is hosted, with no need to move or expose sensitive information.