This learning path provides a structured introduction to network observability principles, practical strategies, and monitoring architectures across enterprise environments. Through guided articles, videos, and hands-on labs, participants will build practical knowledge of telemetry strategy, observability tool placement, and data pipeline design across data centers, cloud and edge environments, campus networks, and distributed application layers.

This learning path delivers a structured exploration of network observability principles and monitoring architecture across enterprise environments. Through guided articles, videos, and hands-on labs, participants will develop meaningful insight around telemetry strategy, observability tool placement, and data pipeline design for the data center, cloud edge, campus, and distributed application layer.

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.

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.