Training Resources
Tools, guides, and materials for your AI literacy journey
Tools We'll Use
OpenWebUI
Self-hosted ChatGPT-like interface. Works with Ollama for local AI chat.
github.com/open-webui →LangChain
Framework for building AI applications. We'll use it to create RAG systems and AI-powered search.
python.langchain.com →Python + Ollama API
Build AI agents using direct API calls with httpx. Simple, transparent, and no heavy frameworks needed.
Ollama API Docs →Docker
Container platform for deploying AI workloads. You probably already know this one!
docker.com →Pre-Training Reading (Optional)
These are completely optional but can help you get oriented before the training starts.
AI Basics for Professionals
A gentle introduction to AI concepts without the math. Read our pre-class primer.
Understanding Large Language Models
How ChatGPT and similar tools actually work (simplified for professionals).
AI Use Cases Across Roles
Real-world examples of how teams are using AI today.
Lab Materials
All lab instructions, code samples, and datasets will be provided during the training. You'll get access to:
- • Step-by-step lab guides with screenshots
- • Sample code repositories (Python & Bash)
- • Practice datasets and documentation
- • Troubleshooting guides and FAQs
- • Video walkthroughs of each lab
Additional Resources
Community
- • Slack workspace for students
- • Weekly office hours
- • Alumni network
- • Peer learning groups
Continued Learning
- • Advanced workshops
- • Monthly AI newsletter
- • Recommended courses
- • Industry events & meetups
Documentation
- • Glossary of AI terms
- • Command reference sheets
- • Architecture diagrams
- • Best practices guide
Support
- • TA support during labs
- • Post-training Q&A sessions
- • Email support
- • Troubleshooting database
Downloadable Resources
Pre-Class Setup Guide
Complete setup instructions (PDF)
AI Glossary
Common AI terms explained
Lab Code Repository
GitHub repo with all lab code