Advanced Technology Center

Learn the fundamentals of Wiz's Cloud Security Platform, including their Security Graph and Integrations. Dive into Investigations using Wiz's tools to learn more about security threats, following possible attack chains and learn to secure the cloud before attacks take place.

Generative AI is a cutting-edge technology that has been making waves across various industries in recent years. Unlike traditional AI systems that are designed to analyze and interpret existing data, generative AI has the remarkable ability to create entirely new content, from text and images to music and even code. This revolutionary technology leverages complex machine learning algorithms and neural networks to understand patterns and structures in vast amounts of data, enabling it to generate original and often highly realistic outputs. As generative AI continues to evolve and improve, it promises to transform creative processes, problem-solving, and innovation across numerous fields, from art and entertainment to scientific research and product development. Learn about what Generative AI is and how it works, in this Learning Path.

This Learning Path aims to provide a fundamental understanding of AI, from it's earliest beginnings, to current state, and its potential future developments, making it accessible to readers with varying levels of technical expertise.

In this learning path you will gain a fundamental understanding of AI security by exploring topics such as the AI development lifecycle, data flow during this lifecycle, as well as attack surfaces present in the AI development lifecycle. You will also learn about topics such as the attacks that AI models face and the risks of user data and privacy when it comes to AI.

NVIDIA AI Enterprise (NVAIE) offers a robust suite of AI tools for various applications, including reasoning, speech & translation, biomedical, content generation, and route planning. It features community, NVIDIA, and custom models. NVAIE provides essential microservices such as NIM and CUDA-X used for security advisory, enterprise support, cluster management, and infrastructure optimization. Designed for cloud, data centers, workstations, and edge environments, NVAIE ensures scalable, secure, and efficient AI deployment.

It was a quiet Friday night when the alerts hit—rogue Kerberos tickets spiking from a Pass-the-Hash attack. With 14 years in the SOC trenches, I, Shoaib Mohammed Shahapuri, saw my Tier 1 analyst, Morgan, catch the first anomaly, but it was Riley, our red teamer, who nearly owned the domain—stopped just in time. That close call inspired this Intermediate Threat Detection & Incident Response Learning Path—a 13-hour journey designed to elevate your career from Tier 1 to Tier 2/3. You'll master early-stage detection with Falcon XDR and Security Onion to catch initial access like hash captures; escalate alerts with Morgan and Alex using SOAR; track APT29-style campaigns with Alex and Taylor through Falcon Intelligence; defend Active Directory from Kerberoasting with Falcon ITDR; and fine-tune noisy detections from fileless malware using XDR and network-based tools. Each hands-on lab simulates Riley's full attack chain—credential theft, privilege escalation, lateral movement—so you can build the skills that lead to promotions and high-paying roles. Ready to outsmart Riley and level up your SOC career? Let's dive in.

This learning path enables users to gain a fundamental understanding of Microsoft's Azure compute services. Users will be able to gain hands-on experience within the Azure Portal and CLI through this learning path.

Learn the basics about network security and how next-generation firewalls (NGFW) fits in and establish a baseline knowledge to help aid you through the Next-Generation Firewall learning paths. Throughout this learning path you will learn network security, tools and techniques used to help secure your network, and how the NGFW fits into your security requirements. You will have the opportunity to explore these concepts that will help you walk the NGFW learning path with ease and comfort to aid you on your successful journey of learning NGFW! Now let's get started!

The Automation Foundations learning path is designed to prepare infrastructure architects and engineers for the journey toward automation. Automation in practice includes a broad ecosystem of skills beyond the specific language or system chosen to automate or orchestrate. This learning path targets building that ecosystem of skills to ensure your automation journey is successful. The fundamental skills covered in this learning path include Linux operating system concepts, setting up your development environment, version control and collaboration features, formats for your data, and application programming interfaces. Each concept covered in this learning path is coupled with both content and hands-on exercises to solidify the knowledge.

In this learning path, you will gain a fundamental understanding of Large Language Model (LLM) security. Through a series of articles and videos you will explore topics like what is an LLM, data security risks, the OWASP Top 10 for LLMs, strategies for defending LLM systems, and the critical role users play in maintaining security.

This learning path provides a comprehensive introduction to Cisco Catalyst Center, guiding network professionals through the platform's core features and advanced capabilities. Learners will start by understanding the hierarchical design model and how it supports scalable management and policy deployment. The course covers device discovery, inventory management, and provisioning workflows, enabling consistent network configuration and automation. It also addresses software image upgrades, lifecycle management, including End-of-Life (EoX) insights, and essential system administration tasks. A significant portion is dedicated to Software-Defined Access (SDA) fabric design, including control and border nodes, as well as implementing secure, policy-driven segmentation through micro-segmentation using Scalable Group Tags (SGTs). By the end, participants will be equipped to deploy, operate, and optimize Cisco Catalyst Center in modern enterprise environments.