Home/Cursos/CCNP DCNAUTO 300-635

CCNP DCNAUTO 300-635

5 capítulos26 aulas

Curso completo para a certificacao Cisco CCNP Data Center Automation (300-635 DCAUTO). Cobertura pratica dos 5 dominios do exame com labs hands-on em ambiente Nexus/ACI.

O que voce vai aprender

  • Network Automation Foundation (15%) — YANG models (OpenConfig, IETF, native), protocolos programaveis (NETCONF, gNMI, gRPC, gNOI), ACI network-centric mode e DPUs em data center
  • Infrastructure as Code (25%) — Jinja2 templates para NX-OS, Ansible collections (cisco.aci, cisco.dcnm, cisco.nxos), Terraform providers para ACI e Nexus Dashboard, GitOps workflows e CI/CD
  • Network Element Programmability (25%) — Python com ncclient, POAP (Day-0 provisioning), on-box scripting (Bash e Python no NX-OS), Nexus Dashboard templates e NX-API
  • Operations (25%) — pyATS/Genie para validacao automatica, Model-Driven Telemetry com gNMI, integracao com Source of Truth (NetBox), health monitoring e troubleshooting de container networking
  • AI in Automation (10%) — Desenvolvimento assistido por AI, riscos de seguranca em solucoes AI e integracao de AI agents com dispositivos de rede

Pre-requisitos

  • Conhecimento basico de Python
  • Familiaridade com redes (switching, routing, VLANs)
CCNP DCNAUTO 300-635

Conteúdo do Curso

1

Network Automation Foundation (15%)

5 aulas · 270 min

YANG Models, ACI Network-Centric Mode, DPUs, protocolos de rede programaveis (NETCONF, gNMI, gRPC, gNOI) e construcao de payloads gRPC.

  • 11.1 Describe OpenConfig, IETF, and native YANG models— Em Breve
  • 21.2 Describe ACI-based network-centric mode including objects such as EPG, bridge domains, contracts, and VRFs— Em Breve
  • 31.3 Describe DPUs in data center network switchesfundamentals
  • 41.4 Describe NETCONF, gNMI, gRPC, and gNOI— Em Breve
  • 51.5 Construct a gRPC payload based on a YANG module using tools such as YANG Suite and pyang— Em Breve
2

Infrastructure as Code (25%)

5 aulas · 810 min

Principios de IaC e GitOps, Jinja2 templates para NX-OS, Ansible collections para Cisco DC (DCNM, ACI, NXOS), Terraform providers para ACI e Nexus Dashboard.

  • 12.1 Describe infrastructure as code (IaC) and GitOps— Em Breve
  • 22.2 Construct network configuration templates with Jinja2 using features such as loops, conditionals, output modifiers, and filters— Em Breve
  • 32.3 Construct an Ansible playbook with controller and device collections— Em Breve
  • 42.4 Construct a Terraform plan with controller and device providers— Em Breve
  • 52.5 Troubleshoot network automation solutions based on Ansible and Terraform— Em Breve
3

Network Element Programmability (25%)

6 aulas · 675 min

Python com ncclient para NETCONF, POAP (Day-0 provisioning), on-box scripting, Nexus Dashboard templates e NX-API.

  • 13.1 Construct a network automation solution with Python using ncclient to manage and monitor configurations— Em Breve
  • 23.2 Construct a device-level network automation solution for Day-0 provisioning with POAP— Em Breve
  • 33.3 Implement on-box programmability and automation with NX-OS using Bash and Python Scripting— Em Breve
  • 43.4 Describe the use of templates and policies in Nexus Dashboard— Em Breve
  • 53.5 Construct network configuration templates with Nexus Dashboard— Em Breve
  • 63.6 Describe capabilities and features of NX-API— Em Breve
4

Operations (25%)

7 aulas · 555 min

Simulacao de topologia, pyATS/Genie para validacao, Model-Driven Telemetry, integracao com Source of Truth, monitoramento e troubleshooting de container networking.

  • 14.1 Describe use of network topology simulation related to data center operations— Em Breve
  • 24.2 Implement change validation for a network automation solution using pyATS CLI tools— Em Breve
  • 34.3 Describe architectural components of model-driven telemetry— Em Breve
  • 44.4 Configure a subscription for model-driven telemetry on NX-OS devices (gNMI and gRPC)— Em Breve
  • 54.5 Integrate a network automation solution with a network source of truth— Em Breve
  • 64.6 Construct a Python script that retrieves network health data from NX-OS devices via CLI and Nexus Dashboard— Em Breve
  • 74.7 Troubleshoot packet flows for containerized workloads on Linux hosts considering VLANs, veth, bond interfaces, subinterfaces, and bridges— Em Breve
5

AI in Automation (10%)

3 aulas · 150 min

Desenvolvimento assistido por AI, riscos de seguranca em solucoes baseadas em AI e integracao de AI agents com network devices e controllers.

  • 15.1 Describe AI-assisted code development for network automation— Em Breve
  • 25.2 Describe the security risks in a given AI-based network automation solution— Em Breve
  • 35.3 Describe the integration of network devices, controllers, and management platforms with AI agents— Em Breve