Learning Resources
A curated collection of educational content and learning materials.
Recommended Learning Path
- Start with fundamentals (Docker, Python)
- Move to AI frameworks (LangChain)
- Explore specialized tools (Neo4j, ChromaDB)
- Agentic frameworks (LangGraph, CrewAI, AWS Agents)
- Desktop frameworks (Electron, Model Context Protocol)
| Resource | Platform | Type | Commentary |
|---|---|---|---|
| Austin LangChain AIMUG | Community | Live Learning | Active community focused on learning and building with LangChain. Monthly meetings feature technical presentations, live demos, and collaborative learning. Great for hands-on experience and networking. |
| LangChain Academy | LangChain | Course | Comprehensive guide to building with LangChain. The LangGraph section is particularly valuable for understanding agent development. |
| Neo4j Graph Academy | Neo4j | Course | Excellent introduction to graph databases. The certification path provides a solid foundation for AI knowledge graphs. |
| LangChain Documentation | LangChain | Documentation | Comprehensive API documentation with practical examples. The cookbook sections are particularly helpful. |
| Docker Documentation | Docker | Documentation | Essential reference for container management. The getting started guides are well-structured for beginners. |