The user of this learning path will learn the components of RoCE and why it is essential for clean, fast, and reliable AI/ML compute communication.

This Learning Path shows you how to build a source-of-truth-driven automation solution with Cisco Catalyst Center, NetBox, and Ansible. You'll sync live inventory into NetBox using Orb Agent and Diode, drive Ansible playbooks off a NetBox dynamic inventory, and close the loop by writing live device health scores back into NetBox.

This Learning Path is designed to Discover and Experience Cisco (Viptela) SD-WAN. The lab environment that supports this Learning Path is virtual and dedicated to each individual consumer.

In this learning path, we explore the software based orechestration and management of the Cisco Secure AI Factory data center. We explore Cisco Intersight, a SaaS-baased management platform, which allows a data center engineer to orchestrate and automate physical and virtual infrastructure. We also have a lab around the Cisco Nexus Dashboard Fabric Controller.

This Learning Path is designed to guide users through the many possible Cisco SD-WAN (Viptela) integrations with other vendors and technologies. After these videos, you will understand how to integrate Cisco SD-WAN with carrier-neutral facility providers, public cloud platforms, and some of the most popular security service edge (SSE) vendors.

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 Security Group Tags (SGTs). By the end, participants will be equipped to deploy, operate, and optimize Cisco Catalyst Center in modern enterprise environments.

This learning path explores the use of monitoring your Cisco SD-WAN fabric with SD-WAN Analytics and ThousandEyes, showcasing their unique methods of providing visibility into network and application performance. As a WAN engineer, monitoring and keeping an eye on the health of your network can be a constant challenge, but luckily network monitoring capabilities have come a long way. In today's complex network environments, having robust monitoring capabilities is essential for network engineers to understand and troubleshoot issues effectively. SD-WAN Analytics and ThousandEyes are powerful tools that provide varying levels of network visibility, each offering unique perspectives and usage scenarios. Understanding the capabilities of each helps network engineers identify the right tool for their specific needs, ensuring optimal network performance and reliability.

AI systems are rapidly transforming how organizations operate, but they also introduce new and evolving security risks. This learning path focuses on how Cisco AI Defense enables organizations to secure AI systems across their entire lifecycle. You will develop an understanding of common AI vulnerabilities and how they impact modern environments, while exploring how Cisco AI Defense provides visibility into AI assets, validates models against adversarial risks, and enforces real-time protections through runtime guardrails. By the end, you will have a clear understanding of how Cisco AI Defense delivers visibility, validation, and runtime protection to help secure AI at scale.

This learning module aims to provide learners with a comprehensive understanding of the various practical use cases, features and technologies, embedded within Cisco switches and wireless technologies for developing end-to-end solutions. The course will cover different scenarios and upcoming trends where Cisco switches and wireless technologies can be integrated into advanced solutions that can benefit various businesses and organizations to achieve their desired business outcomes.

Before a core network can provide advanced services and traffic engineering, it must first establish basic transport connectivity between its nodes. In this course, you will learn how interior routing protocols are used to establish dynamic routing within the core, how MPLS technology is used to enhance packet transport across the underlay, and how Segment Routing is changing the way we think about transport paths. In each module you will watch a brief video describing the underlying technology and then walk through a hands-on lab to dive deeper into the relevant protocols and configurations that make underlay routing work.

This learning path on foundational Open Shortest Path First (OSPF) provides a comprehensive introduction and deep dive into the core aspects of OSPF. It starts by explaining the basics of OSPF, including its purpose, operation, and fundamental concepts such as OSPF Neighbors, advertising routes, authentication, OSPF network types, and many others. This learning path aims to equip network professionals with the knowledge needed to manage and optimize OSPF in real-world environments, emphasizing best practices and common pitfalls.

This Learning Path delivers tangible business value by empowering enterprises to proactively defend against security threats through the intelligent capabilities of Cisco SD-WAN. Designed for network engineers interested in learning about securing the SD-WAN, this Learning Path leverages integrated security features such as threat intelligence, secure segmentation, and advanced traffic inspection, organizations can reduce risk, minimize downtime, and ensure business continuity. Ultimately, this learning path supports enterprises in strengthening their security posture while optimizing network performance and operational efficiency.