Cisco Certified DevNet Professional Core (DEVCOR 350-901) v1.1 Online Training

Modern Cisco environments create risk when application delivery, network automation, and API integrations depend on a few specialists or manual runbooks. IT teams complete this Cisco DevNet Professional Core (350-901 DEVCOR) training to standardize how DevOps and network automation practitioners design applications, consume Cisco APIs, automate infrastructure, and troubleshoot production issues.

This course is best fit for DevOps professionals, network automation engineers, and experienced IT Practitioners with several years of exposure to automation tools and DevOps practices. The curriculum is substantial: about 22.5 hours of training per learner, before review or exam prep. Team Leads should plan it as a staged enablement path rather than a one-week assignment.

For IT Directors, the operational value is risk reduction: better logging, data privacy awareness, CI/CD discipline, infrastructure as code practices, and model-driven network automation can reduce configuration drift and improve release reliability. CBT Nuggets Playlists and Team Reporting help Training Managers assign the path consistently and track progress across the team.

This training helps teams connect DevOps practices with Cisco infrastructure operations, so automation work is less ad hoc and easier to support in production.

• Improve troubleshooting workflows: Teams practice diagnosing application issues from event logs, understanding observability, and using monitoring concepts such as AppDynamics and model-driven telemetry dashboards.
• Standardize API-driven operations: Practitioners work with RESTful API concerns such as caching, pagination, OAuth, and sequence diagrams, then apply those ideas to Cisco platforms including Meraki, Firepower Device Management, Intersight, UCS, DNA Center, and IOS-XE RESTCONF.
• Strengthen release and deployment practices: Teams cover Git operations, PyPI packaging, Jenkins/GitHub CI/CD pipelines, Docker, Kubernetes, static code analysis, continuous testing, and 12-factor app principles.
• Reduce manual network configuration: The course introduces automation approaches using RESTCONF, Ansible, Puppet, Terraform, YANG data models, and configuration management concepts.

Knowledge

• Distributed application architecture, application design tradeoffs, latency, maintainability, observability, and architectural patterns.
• API design and consumption challenges, including HTTP caching, REST pagination, OAuth, and API sequence diagrams with PlantUML.
• Cisco platform automation concepts across Meraki Dashboard API, Firepower Device Management, Intersight, UCS, DNA Center, IOS-XE RESTCONF, and hosted applications on Cisco networking devices.
• DevOps release practices including advanced Git, dependency management with PyPI, CI/CD pipelines, static code analysis, continuous testing, Docker, Kubernetes, and 12-factor app principles.
• Security and operational risk topics including effective logging, threat protection, data privacy, and securing data.

Ability

• Diagnose application problems using logs and event-related evidence.
• Evaluate database types against application requirements.
• Build and troubleshoot API requests for multiple Cisco platforms.
• Automate network and infrastructure workflows with RESTCONF, Ansible, Puppet, and Terraform.
• Deploy applications with Docker and Kubernetes and support CI/CD workflows with Jenkins and GitHub.
• Use YANG data models and model-driven telemetry concepts to support real-world network visibility.