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Prepare for CCNP: DCNAUTO 300-635 v2.0 Masterclass
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Rating: 5.0 out of 5(1 rating)
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Prepare for CCNP: DCNAUTO 300-635 v2.0 Masterclass

Automate Cisco Data Center networks for CCNP: YANG, NETCONF, gNMI, Ansible, Terraform, pyATS, telemetry & AI
New
Created byJozef Baros
Last updated 7/2026
English

What you'll learn

  • Explain YANG data models and the crucial difference between a data model and the protocols that transport it (NETCONF, RESTCONF, gNMI, gNOI).
  • Build, apply and troubleshoot Ansible playbooks and Terraform plans using both device and controller collections and providers
  • Construct Jinja2 configuration templates and gRPC/gNMI payloads directly from YANG modules
  • Automate Cisco NX-OS on the box with Python, Bash, Guest Shell, POAP, NX-API and ncclient.
  • Design and configure model-driven telemetry in both dial-out and dial-in modes with gNMI and gRPC.
  • Validate network changes with pyATS and integrate a network source of truth such as NetBox or Nautobot.
  • Operate Cisco ACI and Nexus Dashboard: the object model, templates, policies and configuration compliance.
  • Apply AI safely to network automation — from AI-assisted code development to security risks and the design of AI agents.

Course content

5 sections • 62 lectures • 6h 27m total length

  • Network Automation Foundation Introduction1:38
  • Video: YANG Data Models: OpenConfig, IETF and Native8:29
  • YANG Data Models: OpenConfig, IETF and Native7:17
  • Video: ACI Network-Centric Mode: EPG, Bridge Domain, Contract and VRF8:37
  • ACI Network-Centric Mode: EPG, Bridge Domain, Contract and VRF5:54
  • Video: DPUs in Data Center Network Switches8:07
  • DPUs in Data Center Network Switches6:18
  • Video: NETCONF, gNMI, gRPC and gNOI8:41
  • NETCONF, gNMI, gRPC and gNOI5:42
  • Video: Constructing a gRPC Payload from a YANG Module8:19
  • Constructing a gRPC Payload from a YANG Module6:05
  • Section 1 — Wrap-Up: What You Actually Learned1:53

Requirements

  • CCNA-level networking knowledge (VLANs, routing, and basic data center concepts).
  • Basic familiarity with the Cisco CLI is helpful; deep NX-OS experience is not required.
  • No prior automation experience required; we build every concept from the ground up.
  • A computer with internet access. A free lab (Cisco DevNet Sandbox, CML or Containerlab) is optional but recommended for hands-on practice.

Description

The DCNAUTO 300-635 v2.0 exam does not reward memorization. It rewards understanding how a modern data center actually gets automated, and this course is built to give you exactly that.

Across five focused domains, you will learn to speak the language of network automation and put it to work on real Cisco NX-OS and ACI fabrics. We start with the foundation — YANG data models and the protocols that carry them (NETCONF, RESTCONF, gNMI and gNOI). We move into Infrastructure as Code with Jinja2, Ansible and Terraform, and the GitOps discipline that makes automation safe to run. We get hands-on with the switch itself: on-box Python and Bash, POAP day-0 provisioning, NX-API, ncclient and Nexus Dashboard. We cover operations end to end — topology simulation, pyATS change validation, model-driven telemetry, a network source of truth, health data collection, and troubleshooting the packet path through a Linux host. And we finish with the newest domain on the blueprint: applying AI to automation safely, from AI-assisted code to the security risks and design of AI agents.

Every topic pairs a concise video lesson with a written theory article you can study at your own pace, and every article ends with a Knowledge Check that mirrors the style of real exam questions. Instead of drowning you in commands, we keep returning to a handful of durable ideas — declarative intent, idempotency, the compute-then-approve loop, escape hatches, and finding the layer before you touch anything. Once you see these patterns repeat, the whole blueprint clicks into place and the exam stops feeling like a list of facts.

Whether you are chasing the CCNP Data Center or CCNP Automation certification, or simply moving from the CLI into automation, this masterclass gives you both the exam readiness and the practical skills you can use the next day at work.

Designed as a conceptual framework, this video-and-article course details the DC automation technology and DCNAUTO methodology. Please be advised that the scope of this course is strictly theoretical, focusing on architecture rather than practical lab simulations or product demonstrations.

The course contains the use of Artifical Inteligence.

DISCLAIMER — Independent, Unofficial Course

This course is an independent, unofficial study resource. It is not affiliated with, authorized, endorsed by, or sponsored by Cisco Systems, Inc. Cisco, CCNP, NX-OS, Nexus, ACI, and all related product names and marks are trademarks or registered trademarks of Cisco Systems, Inc. in the United States and other countries. All other trademarks are the property of their respective owners. This course is provided for educational purposes only.

Who this course is for:

  • Network engineers preparing for the Cisco DCNAUTO 300-635 exam (CCNP Data Center or CCNP Automation)
  • Cisco professionals moving from the traditional CLI toward automation and infrastructure as code.
  • Data center engineers who work with NX-OS, Nexus, ACI or Nexus Dashboard and want to automate them.
  • Automation and DevOps engineers who need data-center-specific skills (Ansible, Terraform, telemetry, pyATS)
  • Anyone who wants to understand model-driven automation and how AI fits into network operations.

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