Cisco Secure AI Factory with NVIDIASecurity Service Edge (SSE)AI SecurityCisco Network SecurityATCCiscoEndpoint SecurityCloud SecuritySecurity OperationsCybersecurity Risk & StrategyCloudSecurity
Learning path
Cisco Secure AI Factory with NVIDIA: Observability
Skill Level
Fundamentals
Duration 3 hours 40 minutes
Updated Jun 7, 2026
About this learning path
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.
Your instructors
Prerequisites
- Basic understanding of network fundamentals including routing, switching, and common network protocols such as TCP/IP
- Familiarity with traditional network monitoring concepts such as SNMP, ping, and basic alerting tools.
- A passionate drive to expand one's knowledge and expertise in cloud networking, and a firm commitment to continuous learning and self-improvement in this field
What you'll learn
- Define core observability concepts including metrics, logs, traces, and telemetry, and explain how each contributes to network visibility.
- Explain the difference between traditional network monitoring and observability, and recognize when each approach is appropriate.
- Evaluate observability tool placement across data center, cloud edge, campus, and branch environments based on traffic patterns and operational requirements.
- Apply Cisco and Splunk observability capabilities to real deployment scenarios, selecting the right tool for the right environment.