This repository is the shared archive for Agentic AI @ UIUC educational content, focused on:
- Claude Code workshops (hands-on sessions)
- Spring lecture materials (slide decks and supporting resources)
/claude-code-workshops
Workshop slide decks and session materials for Claude Code-focused meetings./spring lectures
Spring semester lecture decks plus a few supporting Python examples.
Location: /claude-code-workshops
Current files:
Claude-Code-Workshop-1.pdfClaude-Code-Workshop-4.pdfOpenClaw_Workshop.pdf
These workshops are intended for practical, guided sessions where members learn by building and exploring workflows directly.
Location: /spring lectures
Current files:
AgenticAI Lecture 1 - Intro-to-Agents.pdfAgenticAI Lecture 2 - Prompt Engineering.pdfAgenticAI Lecture 3 - Memory Management..pdfAgenticAI Lecture 4 - RAG.pdfAgenticAI Lecture 8 - ReinforcementLearning.pdfAgenticAI Lecture 9 - Evals.pdfAgenticAI Lecture 10 - MCP.pdfVoiceAgents.pdfcontext-graphs-1.pycontext-graphs-2.pyreinforcement-learning.py
Lecture topics cover core agentic AI concepts, including agent fundamentals, prompting, memory systems, retrieval-augmented generation, evaluations, MCP, and reinforcement learning foundations.
- Browse workshop or lecture folders to find the latest materials.
- Use PDFs during meetings for presentation flow and discussion.
- Use included
.pyfiles as optional examples for follow-up study. - Keep file names descriptive so members can quickly locate content by topic.
When adding content:
- Place workshop files in
/claude-code-workshops. - Place lecture files in
/spring lectures. - Prefer clear names that include topic and sequence (for example, Lecture number + title).
- Update this README so the file list stays current.
The goal is to keep the club’s instructional assets in one discoverable place so new and returning members can quickly catch up, review topics, and prepare for future sessions.