Python Automation for Infrastructure Engineers: Scripts That Run in Production
“Stop clicking. Write the script that runs while you sleep.”
Write idempotent, error-resilient automation that connects to live systems and runs unattended — starting from real operational pain points
One-time · Lifetime access · Certificate included
- ✓6 modules of content
- ✓36 concept slides
- ✓18 practical exercises
- ✓24 quiz questions
- ✓Capstone project
- ✓LearnAspire certificate
Learning Outcomes
What you'll learn
The day after you finish
The day after completing this course, you will deploy a Python script to a production or staging environment that connects to live systems via SSH or a REST API, performs a multi-step operational task with full error handling and structured logging, is safe to re-run without side effects, and can be read and modified by a colleague who wasn't in the room when you wrote it.
Who this is for
- Sysadmins with 3-8 years of infrastructure experience who write occasional Python but rely on manual processes for repetitive operational tasks
- DevOps engineers who can read and modify scripts but haven't built production-grade automation from scratch with proper error handling and idempotency
- Platform or site reliability engineers transitioning from runbook-driven operations to automated remediation and want their Python to meet a production bar
Prerequisites
- Able to write a Python script that reads a file, loops over data, and calls a function — no need to be fluent, but syntax should not be the blocker
- Comfortable on the Linux command line: SSH into remote hosts, read log files, manage services with systemctl, and understand file permissions without assistance
- Has at least one operational domain well enough to recognise a real scenario: patch management, log rotation, monitoring/alerting, or user lifecycle management
Curriculum
6 modules · full breakdown
🐍 Part of: Python & IT Automation Path
Capstone Project
Production Automation Pipeline: Operational Health Check and Remediation Engine
Learners design and build a complete, deployable automation pipeline that solves a real operational problem of their choosing from a defined set: (1) a fleet health checker that SSHs into a list of hosts, validates service state, disk utilisation, and recent error log patterns, generates a structured JSON report, and optionally attempts remediation with rollback logic; (2) an alert triage engine that polls a monitoring API, deduplicates and categorises incoming alerts against a configurable ruleset, creates ITSM tickets via API for actionable alerts, and logs suppression decisions with justification; or (3) a user lifecycle automation script that provisions or deprovisions accounts across SSH-accessible Linux hosts and an LDAP or API-backed directory, validates state before and after each step, and produces an audit trail suitable for a compliance review. Whichever track is chosen, the pipeline must include structured logging with severity levels, idempotent execution with pre-flight state checks, error isolation so a single-host failure does not abort the full run, a dry-run mode that reports planned actions without executing them, and a configuration file that separates credentials and environment targets from code.
What you'll deliver
A GitHub repository (or equivalent) containing: the automation script or module set with inline docstrings, a configuration file template with all secrets redacted, a README that explains what the script does, what permissions and dependencies it requires, how to invoke it including dry-run mode, and what to check if it fails, plus a sample log output from a real or representative test run demonstrating the error handling and audit trail in action