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)

Conteúdo do Curso

Network Automation Foundation (15%)

5 aulas · 270 min

InicianteRestrito

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

Infrastructure as Code (25%)

5 aulas · 810 min

IntermediárioRestrito

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

Network Element Programmability (25%)

6 aulas · 675 min

IntermediárioRestrito

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

Operations (25%)

7 aulas · 555 min

AvançadoRestrito

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

AI in Automation (10%)

3 aulas · 150 min

AvançadoRestrito

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