Join us for an immersive, hands-on workshop exploring the foundational concepts of Microsoft Azure cloud computing. This session is designed to give you practical experience with Azure's core services — including compute, storage, and networking — through guided labs within the Azure Portal and CLI. Whether you're new to cloud or looking to solidify your Azure fundamentals, this workshop provides a structured, hands-on path to building real-world cloud skills with expert guidance from WWT's Azure practitioners.

Join us for an immersive, hands-on workshop exploring the mechanics of vector search and semantic retrieval. This session goes beyond simply wiring a vector store into a pipeline — it teaches you to understand why certain queries succeed, why others fail, and which components are responsible. Through four focused Jupyter Notebooks, you will explore how embedding models, distance metrics, and chunking strategies each shape retrieval results. Whether you are building retrieval-augmented generation (RAG) pipelines or tuning search applications, this lab equips you with the diagnostic skills and evaluation frameworks to improve retrieval quality on your own data. All experiments run locally using open-source models and FAISS — no prior vector search experience required.

Join us for a hands-on introduction to HYPR Identity Assurance, a modern passwordless authentication platform built on FIDO2 cryptographic credentials. In this guided lab experience, you will explore the HYPR Control Center, configure identity verification flows using HYPR Affirm, and authenticate to a Windows workstation via RDP — without a single password. You will also see how HYPR integrates with CrowdStrike for Zero Trust pre-authentication policy enforcement and with Okta for centralized user lifecycle management. Whether you are evaluating passwordless solutions or looking to deepen your understanding of modern identity assurance, this lab delivers a practical, real-world experience that bridges security and simplicity.

Join us for a hands-on exploration of the Model Context Protocol (MCP), an open-source standard quickly gaining momentum in the world of AI. Whether you are a developer, engineer, or someone curious about how AI systems connect to real tools and data, this lab will walk you through the core concepts of MCP and give you practical skills to build, run, and connect your own MCP servers. This is a fundamentals-level lab focused on giving you a solid, practical understanding of how MCP works and why it is becoming the universal protocol for AI agent tool use — often described as the USB standard of the AI world.

Join us for a hands-on Learning Path and Lab experience designed to help network operations professionals unlock the full power of NetBrain. In this session, we will provide an overview of the Learning Path and explore NetBrain's operational workflow through a hands-on lab. Starting with network discovery and dynamic device mapping, you will then layer discovered data with Intent features such as parsers and diagnostics to enable low-code automation, standards validation, and scheduled rule checks through dashboards. NetBrain is a web-based, SSH-, SNMP-, and API-driven network operations platform that helps teams visualize, automate, document, troubleshoot, and remediate their networks using live data and interactive maps. By the end of this session, you will understand how to use NetBrain not only to view your network, but also to continuously validate it and accelerate troubleshooting through repeatable, map-driven automated workflows.