🧠 Oklahom.AI - Tulsa's AI Learning Lab 🤖

Oklahom.AI is a community resource repository 📚 containing learning materials, code samples, and projects for building with artificial intelligence.

This initiative is sponsored by the Tulsa AWS User Group Meetup at Gradient and the Atlas School, with the goal of making AI development more accessible to beginners in the Tulsa tech community. 🌟

We will be hosting in-person sessions in Tulsa with folks from Techlahoma and Code for Tulsa / Tulsa CityCamp. We will also be joining forces with the new Oklahom.AI group in Oklahoma City for virtual sessions.

AWS User Group at Gradient & Atlas School 🤝

Our volunteer-led series begins with two introductory session at Atlas School:

• Session 1: 🚀 Product engineering for AI applications

  1. Hands-on deployment of a tiny LLM (Qwen2.5) on an EC2 instance in AWS (Free Tier), using Ollama
  2. Basic terminology and concepts in training, deploying, and evaluating AI models in production

• Session 2: 🌩️ Language Models on the Cloud and Edge

  1. Hands-on - Leveraging AWS Bedrock for simplified AI orchestration
  2. Hands-on - Intro to EdgeAI and deploying a tiny LLM on a Raspberry Pi with environmental sensors

You can find materials for these two sessions in the repo directory under Intro Sessions.

We welcome beginners and experienced developers of all levels, and try our best to make the learning experience as accessible as possible.

AI Learning Lab Sessions 🧬

• 🛠️ Following these initial sessions, we will host bi-weekly (in-person and virtual) meetings featuring new topics, practical exercises, and collaborative projects. All materials, code samples, and documentation will be maintained in this repository for ongoing reference and learning.

• 🚀 The goal is to keep you accountable to your learning goals, and provide a supportive community to help you build and iterate quickly on your ideas.

• ⭐ If you follow the study group's week-by-week self-study schedule with guided review sessions, you will be prepared to take the AWS AI Practitioner Certification Exam in 2025. You may also choose to opt out and focus on building projects.

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A logo hastily generated by GPT-o3-mini reasoning model:

"Combine map and skyline of Tulsa with a brain and AI symbol."

Mission & Values

[Work in progress]

1. We aim to make AI development more accessible to beginners in the Tulsa tech community.
2. We seek to cultivate a Product Engineer mindset, and provide a supportive community to help you build and iterate quickly on your ideas.
3. We strive to foster a culture of collaboration and knowledge sharing in the Tulsa tech community, and help Tulsa become the hub for A.I. entrepreneurship in the Heartland.