CCIE DevNet — recently rebranded by Cisco as CCIE Automation — is the only CCIE track where software development skills matter more than protocol knowledge. The 8-hour lab exam tests your ability to write Python code, build API integrations, design automation architectures, and deploy CI/CD pipelines against live network infrastructure. This makes it fundamentally different from every other CCIE track.
Exam Overview
The CCIE DevNet v1.1 exam consists of two modules tested at a Cisco lab facility:
| Module | Duration | Format | Key Focus |
|---|---|---|---|
| Module 1: Design | 3 hours | Scenario-based | Automation architecture decisions, platform selection, no coding |
| Module 2: Deploy, Operate, Optimize | 5 hours | Hands-on lab | Python scripting, API integrations, CI/CD pipelines, live device automation |
The Design module presents automation scenarios where you must justify technology choices — for example, explaining why NSO is a better fit than Ansible for a multi-vendor service provider environment, or why NETCONF is preferred over RESTCONF for transactional configuration changes. There is no coding in Module 1, but you need deep understanding of automation architecture trade-offs.
The Deploy module is where CCIE DevNet diverges sharply from other tracks. You sit at a development workstation with VS Code, a terminal, Git, and Postman. You write real Python code that interacts with network devices through APIs, NETCONF, and RESTCONF. Your code must work — partial credit is minimal.
Core Exam Domains
| Domain | Weight | Technologies |
|---|---|---|
| Network Automation | 25% | Python scripting, ncclient, requests, paramiko, pyATS |
| Network Programmability | 25% | NETCONF, RESTCONF, gRPC, YANG models, OpenConfig |
| Infrastructure as Code | 20% | Ansible, Terraform, NSO, Jinja2 templates, version control |
| Platform Automation | 15% | Cisco DNA Center APIs, Meraki Dashboard API, ACI Toolkit, SD-WAN vManage API |
| Automation Testing | 15% | pyATS, Robot Framework, CI/CD pipelines (GitLab CI, Jenkins), unit testing |
Who Should Pursue This Track?
CCIE DevNet is ideal for:
- Network engineers who code and want to formalize their automation skills with an expert-level certification
- DevOps engineers working in network-heavy environments who need to validate Cisco-specific automation expertise
- CCNP DevNet holders ready to advance to the expert tier
- Software developers moving into network automation who want credibility in the networking domain
- Dual-track candidates who already hold another CCIE and want to add automation as a complementary skill set
Prerequisites: Python proficiency is non-negotiable. You must be comfortable writing scripts that call REST APIs, parse JSON/XML, use NETCONF with ncclient, and manage code with Git. Basic CCNP-level network knowledge is required but deep protocol expertise is not — this track tests how you automate networks, not how you configure them manually.
Study Timeline & Preparation Path
CCIE DevNet has the shortest preparation timeline of any CCIE track — 3 to 5 months — but this assumes you already have Python and API experience. If you are starting without programming skills, add 2-3 months of Python fundamentals before beginning.
Phase 1 (Month 1-2): Automation Foundations
- Python scripting for network automation: ncclient, requests, paramiko, JSON/XML parsing
- NETCONF and RESTCONF operations against IOS-XE devices on CML
- YANG model navigation: understanding module structure, leafs, containers, and lists
- Git version control: branching, merging, pull requests, and commit hygiene
- Ansible playbooks for Cisco IOS-XE and NX-OS device configuration
Phase 2 (Month 2-3): Platform APIs and Infrastructure as Code
- Cisco DNA Center API: device inventory, path trace, template deployment, command runner
- Cisco NSO (Network Services Orchestrator): service models, device templates, reactive fastmap
- Meraki Dashboard API: network provisioning, monitoring, and webhook integrations
- ACI Toolkit and APIC REST API for data center fabric automation
- Terraform provider for Cisco platforms: resource definitions, state management, plan/apply workflows
- Jinja2 templating for dynamic configuration generation
Phase 3 (Month 3-5): Testing, CI/CD, and Exam Readiness
- pyATS and Genie: device learning, configuration comparison, operational state validation
- CI/CD pipeline construction: GitLab CI or Jenkins pipelines that lint, test, and deploy network configurations
- Robot Framework for network test automation
- Unit testing for Python automation scripts with pytest
- Full mock labs: Design module architecture justifications plus Deploy module timed coding exercises
- Practice coding without internet access — the lab environment is isolated
Salary & Career Impact
| Role | Average Salary (US) | With CCIE DevNet |
|---|---|---|
| Network Automation Engineer | $110,000 | $145,000 |
| Senior NetDevOps Engineer | $130,000 | $165,000 |
| Network Automation Architect | $150,000 | $180,000 |
CCIE DevNet commands the highest starting salary range among CCIE tracks because it validates a rare combination: network domain knowledge plus software engineering skills. Employers struggle to find engineers who can both understand BGP route policies and write Python code to automate them. This scarcity drives compensation above traditional network engineering roles.
The certification is particularly valuable in organizations undergoing network automation transformation. Large enterprises, cloud providers, managed service providers, and consulting firms all seek engineers who can build automation platforms rather than just configure devices manually.
ROI calculation: At a $35,000-$50,000 average salary increase and a typical $3,000-$7,000 total prep cost (lower than other tracks because you need fewer expensive lab images), CCIE DevNet pays for itself within the first three months of a new role.
Lab Environment & Practice
Recommended setup:
- CML Personal ($199/year): IOS-XE, NX-OS, and IOS-XR images for API and NETCONF/RESTCONF practice. The most exam-accurate simulation platform. CML vs INE vs GNS3 comparison →
- Python dev environment: VS Code with Python extension, pylint, and integrated terminal. This mirrors the exam workstation setup.
- Postman: For exploring and testing REST APIs (DNA Center, Meraki, vManage) before writing Python code
- Git: Local repository for version-controlling all automation scripts. Practice the same Git workflow you will use in the exam.
- Ansible + Terraform: Install both locally and practice running playbooks and plans against CML devices
- pyATS: Cisco’s test automation framework — install via pip and practice device learning and configuration validation
Essential lab exercises:
- Write a Python script that uses NETCONF to pull running configurations from 10 CML devices, compare them against a golden template, and report deviations
- Build an Ansible playbook that deploys OSPF across a 5-router topology with Jinja2 templates for per-device customization
- Create a CI/CD pipeline in GitLab CI that lints Ansible playbooks, runs them against CML, and validates results with pyATS
- Use the DNA Center API to discover all devices, generate an inventory report in JSON, and push a template configuration to a specific device group
- Build an NSO service package that provisions L3VPN services across multi-vendor devices with rollback capability
Related Articles
- The Network Automation Engineer Career Path: From Python Scripts to CCIE Automation
- Your First CCIE Automation Lab: Python, ncclient, and NETCONF on Cisco CML
- CCIE Automation Salary 2026: What DevNet Experts Actually Earn (Real Data)
- DevNet to CCIE Automation Rebrand: What It Means for Your Career in 2026
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