Hands-On Lab Workshop: WWT AI Agentic Network Assistant

Event Overview

Join our Virtual Lab Workshop to explore the Agentic Network Assistant proof-of-concept. This hands-on session introduces a browser-based application that simplifies network operations through natural language inputs, powered by the Llama 3.3-70B local language model. See how real-time interaction with Cisco Nexus devices bridges the gap between human intent and device-level configuration or diagnostics. Experience practical labs and real-world scenarios that demonstrate how AI can accelerate workflows and reduce operational complexity. Engage with experts and get your questions answered during live Q&A.

Brandon Swagman

World Wide Technology

Practice Manager

I am part of WWT’s Advanced Technology Center (ATC) Solution Development team focused on infrastructure technologies. We create and sustain high-qu...
Marshall Shelton

World Wide Technology

Technical Solutions Architect II

Marshall is a former data scientist with a strong background in technical consulting, where he specialized in helping clients address complex chall...

What to expect

A one-hour virtual workshop focusing on WWT Agentic Network Assistant. We kindly ask that you have your laptop ready to engage in hands-on lab activities.
  • • Genesis of the lab.
  • • Challenges and opportunities encountered during the design of the lab.
  • • Hands-On Lab: Perform real-time queries.
  • • Interactive Q&A: Engage with the host and other participants through live Q&A sessions.
  • • Practical Applications: Discover how the technology can significantly benefit your organization.

Goals and Objectives

• Understand the functional architecture of the Network Assistant • Explore integration of Llama 3.3-70B with Cisco CLI execution • Follow the flow from natural language input to CLI translation, execution, and AI analysis • Use natural language to retrieve device info (e.g., software version, BGP, CPU usage) • Chain multiple commands with the “Add to Chain” feature • Interpret CLI outputs across devices with AI-generated summaries • Ask follow-up questions for deeper analysis • Run predefined diagnostic bundles and refine output with filters (| include / | exclude) • Compare live configs to golden standards and detect drift • Evaluate strengths, limitations, and future potential of AI-augmented network tools

Who should attend?

Perfect for network engineers and IT pros exploring the future of AI-driven automation.