mdelapenya/go-genai-webinar — explained in plain English
Analysis updated 2026-07-18 · repo last pushed 2024-05-23
Learn how to connect a Go application to large language models.
Build a customer support tool that understands messages and generates responses.
Practice crafting prompts that get better results from an LLM.
Learn how to combine multiple AI calls and pull in outside information for smarter results.
| mdelapenya/go-genai-webinar | 0verflowme/alarm-clock | 0verflowme/seclists | |
|---|---|---|---|
| Language | — | CSS | — |
| Last pushed | 2024-05-23 | 2022-10-03 | 2020-05-03 |
| Maintenance | Dormant | Dormant | Dormant |
| Setup difficulty | easy | easy | easy |
| Complexity | 2/5 | 2/5 | 1/5 |
| Audience | developer | vibe coder | ops devops |
Figures from each repo's GitHub metadata at analysis time.
README doesn't specify whether accompanying code, videos, or slides are included.
This repository is a collection of educational materials for learning how to build generative AI applications using the Go programming language. If you're interested in adding AI capabilities to Go projects, like chatbots, content generation, or intelligent search features, these webinar materials walk you through the practical steps to get started. The materials cover the core skills you'd need: how to connect your Go application to large language models (the AI systems that power tools like ChatGPT), how to craft prompts that get better results from those models, and how to combine multiple AI calls together or pull in outside information to make the AI smarter. The content was originally created by Daniel Whitenack for live webinar attendees, but it's organized here so anyone can learn from it at their own pace. This would be useful if you're a Go developer who wants to add generative AI to your product, a startup founder building an AI-powered application in Go, or a technical PM who needs to understand what's actually involved in integrating AI into an existing system. For example, if you're building a customer support tool that needs to understand incoming messages and generate helpful responses, these materials would show you the foundation of how that works. The repository itself is straightforward, it's organized by topic (accessing models, writing good prompts, combining AI calls) so you can focus on the specific skills you need. The README doesn't go into detail about whether there's accompanying code, videos, or slides, but the structure suggests each section has its own learning materials you can dive into.
A collection of webinar materials that teach Go developers how to build generative AI applications like chatbots and content generators.
Dormant — no commits in 2+ years (last push 2024-05-23).
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.