ddekadt/my580_agentic_ai — explained in plain English
Analysis updated 2026-05-18
Follow along with the MY580 workshop to learn agentic AI hands-on
Use the starter project and demo project as a template for teaching agentic AI
Set up Gemini CLI using the step-by-step Windows or macOS guides
Adapt the workshop slides for a research methods course
| ddekadt/my580_agentic_ai | selva-345/incomeshield-ai | unclecheng-li/cybersecurity-daily | |
|---|---|---|---|
| Stars | 24 | 24 | 24 |
| Language | HTML | HTML | HTML |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 1/5 | 3/5 | 2/5 |
| Audience | researcher | pm founder | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Requires installing Gemini CLI following the provided Windows or macOS setup guide.
This repository contains workshop materials for a university course called MY580 at LSE (London School of Economics), focused on teaching "agentic AI", AI systems that can plan, use tools, and carry out multi-step tasks on their own, to social science and data science researchers. Students work hands-on with Gemini CLI, a free terminal-based AI coding assistant, to learn how modern AI agents operate. The workshop covers general principles of agentic AI, so the concepts apply beyond any specific tool. Students are also welcome to use other AI assistants they may already have access to. The repo includes step-by-step setup guides for Windows and macOS, a starter project folder for hands-on exercises (with pre-staged data and a configuration file to fill in), a reference demo project, and the workshop slides. A modern code editor is recommended for participants. This is primarily useful to students enrolled in the MY580 course, or to educators who want a structured template for teaching agentic AI concepts in an academic research context.
University workshop materials teaching agentic AI concepts to social science and data science students using Gemini CLI.
Mainly HTML. The stack also includes Gemini CLI, HTML.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
Verify against the repo before relying on details.