Designing, Deploying and Managing Network Automation Systems

• 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)

There 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)

• 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 servers

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