AUTOCORCICiscoCI-AUTOCOR2.0<ul> <li>Evaluate various network automation tools and approaches</li><li>Use Python for CLI-based network automation</li><li>Integrate REST APIs in network automation workflows</li><li>Automate device configuration using RESTCONF requests based on YANG data models</li><li>Create network automation solutions with Ansible</li><li>Create network automation solutions with Terraform</li><li>Implement the Infrastructure as Code approach for network management</li><li>Use Git to track network changes</li><li>Design and build GitLab CI pipelines for network automation</li><li>Integrate CML topologies in automated workflows</li><li>Create network validation tools with pyATS and include them in automated workflows</li><li>Configure model-driven telemetry streams to collect real-time operational data from Cisco devices</li><li>Diagnose common automation failures using well-structured logs from Python, Ansible, and RESTCONF integrations</li><li>Harden network automation code by validating inputs, protecting credentials, and sanitizing outputs</li><li>Build and run multi-service Docker Compose environments for network automation</li><li>Generate, sign, and install certificates to secure web interfaces and APIs used by network automation tools</li><li>Describe the role, value, and risks of generative AI in network automation script creation</li><li>Create AI agents for network automation</li><li>Integrate LLMs with external capabilities using MCP servers</li></ul><p>There are no formal prerequisites for this training. However, the knowledge and skills you are recommended to have before attending this training are: </p> <ul> <li>Hands-on experience with a programming language (specifically Python)</li><li>Experience with common network designs and configurations</li><li>Understanding of the utilization of APIs</li><li>Awareness of network device APIs such as NETCONF and RESTCONF</li><li>Understanding of the basics of version control with Git</li><li>Familiarity with platforms like GitLab and GitHub</li><li>Comfort with the Linux shell, SSH, files, and virtual environments</li><li>Exposure to Docker/containerization</li><li>Basic knowledge of AI and LLMs</li></ul><p>These skills can be found in the following Cisco Learning Offerings:</p> <ul> <li><span class="cms-link-marked"><a class="fl-href-prod" href="/swisscom/en/course/cisco-ccnaauto"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Automating Networks Using Cisco Platforms <span class="fl-prod-pcode">(CCNAAUTO)</span></a></span></li><li><span class="cms-link-marked"><a class="fl-href-prod" href="/swisscom/en/course/cisco-ipyne"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Intermediate Python for Network Engineers <span class="fl-prod-pcode">(IPYNE)</span></a></span></li></ul><ul> <li>Individuals seeking the CCNP Automation certification</li><li>Network Automation Engineers</li><li>Network Engineers with coding experience</li><li>DevOps Engineers working with network infrastructure</li><li>System Engineers</li><li>Network Site Reliability Engineers (SREs)</li></ul><ul> <li>Network Automation Toolkits</li><li>Network Task Automation with Python</li><li>REST APIs in Network Automation</li><li>Network Automation with Ansible</li><li>Network Automation with Terraform</li><li>Infrastructure as Code Implementation</li><li>Network Change Tracking with Git</li><li>Configuration Change Deployment with CI Pipelines</li><li>Cisco Modeling Labs Integration for Test Network Environments</li><li>Network State Validation with pyATS</li><li>Model-Driven Telemetry for Network Monitoring</li><li>Network Automation Solution Troubleshooting</li><li>Secure Coding Practices for Network Automation</li><li>Network Automation Environment Containerization with Docker Compose</li><li>Trusted TLS Certificates Deployment for Secure Communication</li><li>Generative AI for Network Automation</li><li>AI Agents for Network Automation</li><li>LLM and MCP Server Integration</li></ul>- Evaluate various network automation tools and approaches - Use Python for CLI-based network automation - Integrate REST APIs in network automation workflows - Automate device configuration using RESTCONF requests based on YANG data models - Create network automation solutions with Ansible - Create network automation solutions with Terraform - Implement the Infrastructure as Code approach for network management - Use Git to track network changes - Design and build GitLab CI pipelines for network automation - Integrate CML topologies in automated workflows - Create network validation tools with pyATS and include them in automated workflows - Configure model-driven telemetry streams to collect real-time operational data from Cisco devices - Diagnose common automation failures using well-structured logs from Python, Ansible, and RESTCONF integrations - Harden network automation code by validating inputs, protecting credentials, and sanitizing outputs - Build and run multi-service Docker Compose environments for network automation - Generate, sign, and install certificates to secure web interfaces and APIs used by network automation tools - Describe the role, value, and risks of generative AI in network automation script creation - Create AI agents for network automation - Integrate LLMs with external capabilities using MCP serversThere are no formal prerequisites for this training. However, the knowledge and skills you are recommended to have before attending this training are: - Hands-on experience with a programming language (specifically Python) - Experience with common network designs and configurations - Understanding of the utilization of APIs - Awareness of network device APIs such as NETCONF and RESTCONF - Understanding of the basics of version control with Git - Familiarity with platforms like GitLab and GitHub - Comfort with the Linux shell, SSH, files, and virtual environments - Exposure to Docker/containerization - Basic knowledge of AI and LLMs These skills can be found in the following Cisco Learning Offerings: - Automating Networks Using Cisco Platforms (CCNAAUTO) - Intermediate Python for Network Engineers (IPYNE)- Individuals seeking the CCNP Automation certification - Network Automation Engineers - Network Engineers with coding experience - DevOps Engineers working with network infrastructure - System Engineers - Network Site Reliability Engineers (SREs)- Network Automation Toolkits - Network Task Automation with Python - REST APIs in Network Automation - Network Automation with Ansible - Network Automation with Terraform - Infrastructure as Code Implementation - Network Change Tracking with Git - Configuration Change Deployment with CI Pipelines - Cisco Modeling Labs Integration for Test Network Environments - Network State Validation with pyATS - Model-Driven Telemetry for Network Monitoring - Network Automation Solution Troubleshooting - Secure Coding Practices for Network Automation - Network Automation Environment Containerization with Docker Compose - Trusted TLS Certificates Deployment for Secure Communication - Generative AI for Network Automation - AI Agents for Network Automation - LLM and MCP Server Integration5 days4060.004550.004400.006070.003290.003195.004799.004799.004799.004799.004799.0044.0044.0044.0044.0044.0044.0044.0044.0044.0044.0044.0044.00