Designed and delivered a five-part, hands-on workshop series that taught 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 their teams could connect AI assistants to internal tools and data sources.
Contributions
- Curriculum Design: Built a five-part progressive curriculum that took engineers from MCP fundamentals to shipping 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: Taught each session live with guided coding, Q&A, and examples drawn from production agent systems
- Reference Material: Gave teams working example code and reference documentation to build from after the series ended
Results
Teams came out able to design, build, and ship their own MCP servers, which opened up AI-assisted workflows against their internal systems.
Technologies
- Python
- Model Context Protocol (MCP)
- MCP Python SDK
- LLM-powered developer tooling
