Python and Ansible Automation for Juniper Networks

Manual, CLI-driven changes across a Juniper estate are slow, hard to audit, and a common source of outages caused by subtle misconfigurations. This course helps IT Directors and Team Leads move network teams from box-by-box SSH sessions to tested, version-controlled automation.

Role fit: This intermediate course is built for network administrators with at least a year of hands-on experience. It also suits senior engineers standardizing team automation practices. No prior automation framework experience is assumed. Learners start with Python fundamentals before moving to Ansible, Nornir, PyEZ, NETCONF, and REST APIs.

Risk and change control: The training stresses safe practices from the start:

• Junos commit and rollback
• Ansible Vault instead of hardcoded credentials
• Git branching
• Pre-deployment validation through automated checks and test network workflows
• CI/CD pipelines that test changes against a test network before production

Time investment: Plan for about 38.5 hours across 45 skills, most around 50 minutes. Many teams assign it over several weeks, for example two to three skills per week.

Change-management note: The later skills introduce Netbox as a source of truth, plus GitLab workflows with Slack ChatOps. Adopting these changes team process, not just tooling, so plan rollout with stakeholders.

The first skill walks learners through building their own automation lab. Use CBT Nuggets Playlists to sequence assignments by role and Team Reporting to track progress.

Network teams that still log in to devices one at a time over SSH spend hours on repetitive changes and hunt for subtle misconfigurations by hand. This course moves your team from CLI-by-CLI management to repeatable automation for Juniper networks, using Python, Ansible, YAML playbooks, NETCONF, and Juniper automation modules to make changes more consistent.

The course walks through scenarios your engineers face in Juniper environments: connecting to devices over SSH, writing scripts, changing configurations, pulling show command output, working with Ansible playbooks, and interacting with Juniper devices through NETCONF and REST API workflows.

• Safer changes, fewer outages: Your team uses repeatable scripts and Ansible playbooks to reduce manual typing errors, substitute variables consistently, and standardize how configuration changes are made.
• Stronger credential hygiene: Your team replaces hardcoded passwords in scripts with more secure handling, including Ansible Vault.
• Consistent automation inputs: Your team organizes inventory and variable data so automation draws from planned, consistent device information instead of one-off spreadsheets or manual notes.
• Repeatable, visible pipelines: Your team builds automation workflows that separate lab and production targets, helping Team Leads see how changes are tested before they reach the Juniper estate.

The result is a team that standardizes how changes are made, reviewed, and validated across Juniper networks.

Knowledge

• How network automation differs from traditional CLI-over-SSH device management, and where Netmiko, Scrapli, NAPALM, PyEZ, Nornir, and Ansible each fit
• How Junos commit and rollback features support stable automation, and why credentials should be managed securely instead of hardcoded in scripts
• How Ansible inventories, the inheritance model, loops, conditionals, Jinja2 templates, Ansible Vault, and handlers work together in Junos playbooks
• How YANG data models, NETCONF, and REST APIs (methods, endpoints, status codes) expose Juniper device data for programmatic control
• How source-of-truth data supports automation, and why planning the data model in the correct order of operations matters in production
• How Git branching and CI/CD pipelines (Docker, Jenkins, GitLab) separate test and production changes before they reach the network

Ability

• Build a Linux-based Juniper automation lab and develop remotely with VS Code
• Write Python scripts that read, write, and structure device data, generate configurations, and connect to many devices concurrently
• Create Ansible playbooks using Junos modules, ad hoc commands, custom modules, and roles
• Validate changes with automated tests, including scripts that detect OSPF misconfigurations and report where they are
• Debug and lint automation code with tools such as IPDB to make scripts more reliable
• Build pipelines that run changes against a test network first, promote them to production on merge, and report status through Slack-based ChatOps