CCNP Automation Training

Construct a network automation solution with Ansible to manage configurations such as VLANs, OSPF, asset management, interface settings, and ACLs Construct a network automation solution with Terraform to manage configurations such as VLANs, OSPF, asset management, interface settings, and ACLs Construct a network automation solution with RESTCONF (RFC 8040), given the YANG model, to manage configurations such as VLANs, OSPF, asset management, interface settings, and ACLs Construct a network automation solution with Python to manage configurations such as VLANs, OSPF, asset management, interface settings, and ACLs Select the network automation approach to achieve technical and business requirements considering options such as infrastructure as code framework, low code/no code, and custom applications Construct a network automation solution that consumes REST APIs including extended API attributes (such as pagination, complex authentication workflows, and rate limiting), error handling, and persistent authentication

Use version control operations with Git Merge a branch including squash and conflict resolution git cherry-pick git reset git checkout git revert Diagnose a GitLab CE CI/CD pipeline failure such as missing dependency, incompatible versions of components, and failed tests Construct a GitLab CE CI/CD pipeline to deploy a network automation solution including stages for: build prevalidation deploy post-validation Construct a network simulation with Cisco Modeling Labs (CML) to test the network automation solution Interpret a Docker Compose file including services, networks, volumes, and links Integrate source of truth into a network automation solution Construct a YAML or JSON representation of a network configuration given a YANG-based data model

Describe architectural components of model-driven telemetry Implement a logging strategy for a network automation solution targeting destinations such as syslog or webhooks Diagnose problems with network automation given logs and output related to an event Implement change validation for a network automation solution using pyATS CLI tools Describe the process to obtain and deploy CA-signed TLS certificates Implement secure coding practices into a network automation solution to meet input validation, authentication, and secret management requirements

Describe the benefits and risks of AI-assisted code development for network automation such as data privacy, IP ownership, and code validation Interpret the security risks in a given AI-based network automation solution Construct an MCP server to provide network information to an AI-agent using Python FastMCP Construct a conversational agent that leverages LLMs for network automation Evaluate the accuracy of AI recommendations on a network automation solution