Designed and delivered a five-part hands-on workshop series teaching engineering teams to build with the Model Context Protocol (MCP) in Python.
Role
Workshop Designer & Instructor
Challenge
Nelnet’s AI engineering organization wanted practical, hands-on experience building with the Model Context Protocol so teams could connect AI assistants to internal tools and data sources.
Contributions
- Curriculum Design: Developed a five-part progressive curriculum taking engineers from MCP fundamentals through building production-ready servers
- Hands-On Labs: Built lab exercises where participants implemented their own MCP servers in Python, covering tools, resources, and prompts
- Live Instruction: Delivered each session live with guided coding, Q&A, and real-world examples drawn from production agent systems
- Reference Material: Provided working example code and reference documentation teams could build from after the series
Results
Equipped engineering teams with the skills to design, build, and ship their own MCP servers, enabling AI-assisted workflows against internal systems.
Technologies
- Python
- Model Context Protocol (MCP)
- MCP Python SDK
- LLM-powered developer tooling
