Ultimate Practical AI (Workshop)

This is a hands-on, full-day workshop where you'll build a complete AI-powered application in Go — from first prompt to production-ready system.

You'll start by connecting your Go application to a language model and grounding its responses in real data using Retrieval-Augmented Generation (RAG).
Then you'll give it the ability to act on the world through Tool Calling, Function Execution, and the Model Context Protocol (MCP).
With the core system working, you'll learn the advanced optimization techniques that separate prototypes from production - speculative decoding, semantic caching, and intelligent model routing.
Finally, you'll harden everything against the security threats unique to LLM-powered systems, from prompt injection to data exfiltration.

Each part builds on the last.

By the end of the day, you won't just understand these concepts - you'll have built, optimized, and secured a working system that retrieves, reasons, and acts.


LEVEL: Intermediate


NOTE: This workshop is a whole day long workshop. 
Accordingly with the speakers, there will be pauses for coffee breaks at 11:00 and 16:00 and for lunch at 13:00.

Place
GoLab Workshops III
Length
360 min
When
November 1st, 2026
09:30

Abstract

The author sent us a technical note about the workshop.

It is recommended to download and read carefully the instructions contained in the document for the most effective and productive participation to the workshop.

For any further info or help you can contact directly Florin Patan to his email: florin.patan@ardanlabs.com

Technical note from the author

How to reserve a seat

Message from Florin to the attendees

Hello!

Thank you for signing up to the Ultimate Practical AI workshop at GoLab!
Here are a few important things to know before you attend the workshop tomorrow.


1. Do not worry if you cannot run everything in class. We will build a repository together that you can access later at your own pace.

2. A Frontier Model subscription is preferred. This can be Claude, Codex, AMP, or any other provider you prefer. The $20/month subscription may be enough, but we'll put the model through its paces.

3. If you can run a local model (e.g., have a MacBook with 64 GB RAM or more), you can run Qwen 3.6 35B A3B MTP Q8 locally using Kronk, the Go inference server built by Bill, myself, Ron Evans, other open-source contributors. If you prefer another local model, that is fine. If you prefer another local model, that is fine. Just make sure you download it before arriving at the conference.

4. If model names/data looked like an alien language to you, know that by the end of the workshop, you will learn how to read and understand them.

5. This will be a pair-programming session where we will learn the ins and outs of working with models, building different examples, developing skills, and using existing tools to better deliver code that you own.

I would appreciate it if you share any questions or topics you want to learn more about ahead of the workshop by replying to this e-mail.You can also write me any time after the workshop or find me during the conference day at the ArdanLabs booth or roaming around the conference.If I don't know the answer, I'll do my best to find someone who can help you.
Looking forward to seeing you at the workshop.

Florin

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