Infrastructure Automation

Bring your Raspberry Pi, Arduino, microcontroller, or any other electronic project and join fellow electronics makers for a night of creativity and collaboration! This session is open forum to share your current projects—whether complete or in progress, it’s all interesting! Whether you’re deep into embedded systems, exploring new ideas, or just getting started, you’ll find a welcoming space to collaborate, share, and get inspired. **New to electronics or curious about tinkering?** You’re absolutely welcome. If you’re a beginner and want to experiment, I’ll have a couple of starter kits available so you can try things out—whether that’s blinking your first LED, putting something on a display, or experimenting with simple sensors. No pressure and no experience required—just an interest in learning and building. While we continue to pursue a more permanent venue for this Meetup, we’ll be using public library facilities based on availability.

Want to be a speaker? submit your talk to our Call for Presenters!!! https://sessionize.com/azure-cbus-2026/

We're planning a hands-on technical session focused on building AI solutions in ServiceNow - think skills, agents, and real-world use cases. If you’re curious about AI on the platform, RSVP now and stay tuned for more details. Let's build together!

Topic to be announced. **CALL FOR SPEAKERS** Learn more: https://www.awscolumbus.com/get-involved/ **THANK YOU** *VEEAM* for hosting our meetup! To learn more about *Veeam*, please visit their website: https://www.veeam.com/ **DIRECTIONS** 8800 Lyra Dr #450 · Columbus, OH go to 4th floor. **Want to sponsor the pizza and/or bar tab?** Please contact me if you would like to sponsor this meetup's pizza and/or bar tab: angelo@mandato.com

## Build Your First Autonomous AI Agent ### Beginner-Friendly Hands-On Workshop **Details** * 📅 **Date:** Friday, July 10, 2026 * 🕕 **Time:** 06:00 PM – 08:00 PM * 📍 **Location:** B-213, Davis Campus OR Virtual * 🎟️ **Cost:** Free \| Limited spots — RSVP now\! AWS Cloud Club swag included\! 🚀 Join us for a beginner-friendly hands-on workshop where you will build an AI-powered task tracker using AWS. In this workshop, you’ll learn how an AI agent can understand natural language requests like “Add assignment due on July 25 for Digital Principles,” extract the important details, create a task, store it, and respond back. You will: * Explore core concepts such as AI agents and tool/function calling * Build and deploy serverless workflows * Connect AI with AWS services like Lambda, API Gateway, DynamoDB, and Amazon Bedrock * Understand how autonomous AI agents work from the ground up > **Note:** By the end of the session, you'll have a practical cloud-based app that can be extended into a to-do list, study planner, productivity assistant, or workflow automation tool. **See you there - let's build and deploy!**

Most people use LLMs by feel: ask a question, read the answer, decide whether it “seems good,” and move on. That works for casual use. It does not work when you are building software, automating workflows, writing important documents, or relying on AI for anything that needs to be repeatable. In this talk, we’ll look at how to improve and evaluate the inputs and outputs of LLMs using practical measurement techniques. We’ll cover how prompt changes affect results, how to compare outputs, how to build simple evaluation sets, and how math-based methods like similarity scoring can help you move beyond guesswork. This will be beginner-friendly, so even if you don't know anything about AI, you should get something out of it. However, this will be a little more technical than our intro talks. You do not need to be an AI researcher, but programmers and technically curious attendees will get a lot out of it. We’ll cover: * Why “it looks good” is not enough * How to improve prompts by changing the input, context, and constraints * How to compare LLM outputs more systematically * Basic evaluation techniques for accuracy, consistency, and usefulness * How embeddings, cosine similarity, and scoring can help evaluate results * Where automated evaluation works — and where humans still need to stay in the loop By the end, you’ll have a practical mental model for treating LLMs less like magic and more like systems you can test, measure, and improve. LOGISTICS AND PARKING: The talk starts at 7:00 PM. The first half hour is reserved for everyone to get set up and mingle. Free pizza and drinks! The cheapest parking option is to find street parking, which will only cost you a few bucks. Otherwise, park in the nearby veteran's museum lot for $8. It's highly recommended you avoid the nearby $15 garage parking.