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In the ATC
Level up your skills with on-demand learning labs that focus on the latest tech advancement.
WWT Agentic Network Assistant
Explore the WWT Agentic Network Assistant, a browser-based AI tool that converts natural language into Cisco CLI commands, executes them across multiple devices, and delivers structured analysis. Using a local LLM, it streamlines troubleshooting, summarizes device health, and compares configs, demonstrating the future of intuitive, AI driven network operations.
Foundations Lab
22 launches
Crafting Your First AI Agent
Embark on a journey to create AI agents with "Crafting Your First AI Agent." This hands-on lab introduces LangChain, LangGraph, and CrewAI frameworks, empowering you to build, run, and understand AI agents. Discover the intricacies of AI workflows and multi-agent systems, transforming curiosity into practical expertise.
Foundations Lab
41 launches
Run:ai Researcher Sandbox
This hands-on lab provides a comprehensive introduction to NVIDIA Run:ai, a powerful platform for managing AI workloads on Kubernetes. Designed for AI practitioners, data scientists, and researchers, this lab will guide you through the core concepts and practical applications of Run:ai's workload management system.
Sandbox Lab
125 launches
Intel vCMTS on Red Hat OpenShift Lab
Virtual CMTS (vCMTS) revolutionizes bandwidth management by virtualizing DOCSIS processing on x86 servers, paving the way for DOCSIS 4.0. Intel's Xeon 6 processors enhance encryption efficiency, while Red Hat's OpenShift Cloud Platform unifies workload management. This lab explores a deployment of vCMTS on OpenShift, showcasing performance insights via Grafana.
Foundations Lab
24 launches
Person Tracking with Intel's AI Reference Kit
This lab focuses on implementing live person tracking using Intel's OpenVINO™, a toolkit for high-performance deep learning inference. The objective is to read frames from a video sequence, detect people within the frames, assign unique identifiers to each person, and track them as they move across frames. The tracking algorithm utilized here is Deep SORT (Simple Online and Realtime Tracking), an extension of SORT that incorporates appearance information along with motion for improved tracking accuracy.
Advanced Configuration Lab
35 launches
Introduction into OpenShift AI with Intel and Dell Infrastructure
Red Hat OpenShift AI, formerly known as Red Hat OpenShift Data Science, is a platform designed to streamline the process of building and deploying machine learning (ML) models. It caters to both data scientists and developers by providing a collaborative environment for the entire lifecycle of AI/ML projects, from experimentation to production.
In this lab, you will explore the features of OpenShift AI by building and deploying a fraud detection model. This environment is built ontop of Dell R660's and Intel Xeon's 5th generation processors.
Foundations Lab
305 launches
AI Gateway - LiteLLM Walkthrough Lab
This lab provides hands-on experience with LiteLLM, an open-source AI gateway that centralizes and manages access to Large Language Models (LLMs). Throughout the five modules, you'll learn how to set up and use LiteLLM to control, monitor, and optimize your AI model interactions.
Foundations Lab
30 launches
Defensive AI: Fixing Vulnerabilities with AI-Powered Agents
Brews and Bytes coffee shop faces a digital dilemma: a vulnerable web server. Engage in an interactive lab where AI agents, guided by human insight, tackle security flaws. Discover how AI can revolutionize cybersecurity, transforming vulnerabilities into opportunities for innovation and defense. Can AI be your next cybersecurity ally?
Foundations Lab
6 launches