OneRange

AI for DevOps & SRE

DevOps, SRE, and platform engineers learn to use AI for infrastructure, incidents, and observability. The course covers IaC and scripts, incident response, log and alert analysis, runbooks, and reliability. Learners finish able to operate systems more reliably with AI assistance.

What this course covers

The course runs across 11 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

  • The AI-Assisted SRE: Paradigm Shift & Capabilities — Explore how LLMs and AI agents shift the DevOps and SRE paradigm from manual monitoring to intelligent, proactive system operations.
  • AI-Driven Infrastructure as Code (IaC) Generation — Leverage AI to author, debug, and optimize Terraform and CloudFormation templates while adhering to security best practices.
  • Automating and Refactoring Legacy Shell and Python Scripts — Use AI to analyze, refactor, and modernize legacy automation scripts for improved error handling and reliability.
  • Intelligent Log Parsing and Alert Analysis — Feed high-volume log streams and complex alert payloads into AI models to extract patterns, anomalies, and actionable insights.
  • AI-Powered Observability and Telemetry Synthesis — Query observability platforms using natural language and synthesize metrics, traces, and logs using AI-driven dashboards.
  • Real-Time Incident Triage and Root Cause Analysis (RCA) — Navigate a critical system outage by using AI to correlate alerts, suggest potential root causes, and recommend immediate mitigation steps.
  • Simulated Incident Response and Stakeholder Communication — Practice managing cross-functional communication during a high-severity incident, using AI to draft updates for customers and executives.
  • Automating Runbooks and Incident Remediation — Generate, test, and safely execute automated runbooks using AI assistants to resolve common production issues without human intervention.
  • AI-Enhanced Chaos Engineering and Reliability Testing — Design and execute chaos experiments and failure-injection scenarios using AI to identify hidden system bottlenecks.
  • Guardrails, Security, and Privacy for AI in Production — Address critical concerns regarding data privacy, prompt leakage, and hallucinated commands when deploying AI tools in production environments.
  • Evaluating and Continuous Auditing of AI Recommendations — Establish human-in-the-loop workflows and auditing processes to safely validate AI-generated configurations and scripts.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to Incident Response, Platform Engineering, Infrastructure as Code (IaC), Observability, Site Reliability Engineering (SRE).

  • Incident Response
  • Platform Engineering
  • Infrastructure as Code (IaC)
  • Observability
  • Site Reliability Engineering (SRE)

Who it is for

DevOps, SRE, platform engineers. The material is pitched at advanced level, and takes roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Function: DevOps & SRE track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including code lab, guided lab, branching scenario, role play exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a code assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Related

Frequently asked questions

How long does this course take?

It runs roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code FUN-DVO.