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Hands-On Lab Workshop: Network Engineering Foundations
Join us for a live, virtual Hands-On Lab Workshop built around the Network Engineering Foundations learning series from the WWT Advanced Technology Center. This series covers the fundamentals of network engineering through hands-on labs and real-world examples, helping you develop the practical skills needed to build and maintain robust networks. In this session, our ATC instructors will walk you through the series, highlight the key technologies it covers, from network media and Layer 2 switching to OSPF, EIGRP, and BGP, and show you how to put the series to work on your own learning journey. Whether you are an aspiring network engineer, an IT professional, or simply curious about the backbone of today's interconnected world, this workshop is a great place to start.
AI-Driven Network Operations with Catalyst Center and MCP
This lab gives you hands-on experience using an AI assistant to query and troubleshoot a pre-configured Cisco SD-Access fabric in natural language. You'll see how MCP (Model Context Protocol) tool calls connect the assistant to Catalyst Center and live devices. You'll then use it to assess the impact of a planned interface outage, verifying every answer against tool evidence rather than trusting the assistant's confidence.
Nokia SReXperts 26: Key Takeaways
From new routing hardware to agentic AI and proactive network security, Nokia's 2026 SReXperts conference offered a look at how core networks are evolving for the AI era.
Fortinet Secure SD-WAN Sandbox (7.4.x)
This Sandbox environment features a pre-configured network topology designed to showcase the diverse capabilities of the Fortinet Secure SD-WAN solution. The incorporated set of components within the lab topology includes FortiManager, FortiAnalyzer, and FortiGates running on FortiOS 7.4.11/7.4.12 code.
The Unglamorous Plumbing Behind Every Retail AI Rollout
Retail AI pilots tend to shine in a handful of showcase stores, then stall when the rollout meets the rest of the estate. The problem is rarely the AI tech. It's the foundation underneath: the store network, in-store technology and observability. Here's how those layers break at scale, and three questions to ask before you roll out.