Introduction to AI with Ansible Automation Platform

In this 90-minute interactive workshop, you’ll discover how the powerful combination of Red Hat Ansible Automation Platform and AI can revolutionize your IT operations. We’ll explore the integration of large language models (deployed on Red Hat Enterprise Linux AI or Red Hat OpenShift AI), Red Hat Ansible Lightspeed, and policy-as-code to enrich operational data, intelligently generate playbooks, and maintain robust governance across diverse IT scenarios.

This workshop will delve into AI-Ops principles and demonstrate flexible, closed-loop workflows that drive transformative outcomes. You’ll gain a roadmap for leveraging AI and Ansible Automation Platform to accelerate automation and innovation within your organization.

Through hands-on experience, you will learn to build intelligent, self-healing automation workflows that detect, analyze, and remediate application failures—without manually writing any playbooks. Specifically, you’ll work with:

Workshop Resources

Resource Link
Workshop content and exercises rhpds.github.io/ai-driven-automation-showroom
Follow-up assets Start your free trial (red.ht/ansible_trial) · AI solution guides (red.ht/AAP_AI_KBASE) · Learn more at redhat.com/automation-ai
Post-event survey Post-event survey
Certain registration page & promotional email copy Registration page & promotional email copy
Presenter instructions and guide Permanent Lab Guide

Target audience

Design application/system architects.

Attendee Prerequisites

None.

Presentation Deck

Lab provisioner

List of Proctors: Anshul Behl, Sean Cavanaugh, Marty Turner, Alex Dworjan, Tony Dubiel, Chris Renwick, Jason Breitweg

If you are an SA, SSP, or TMM you will have no problem proctoring this lab. If you have any questions around proctoring this lab, reach out to Anshul Behl or Sean Cavanaugh (Ansible TMMs).

Lab Index (Estimate total time ⏱️ 3-4 hours)

This hands-on workshop covers the full AIOps maturity spectrum — from event-driven remediation with human review to fully autonomous self-healing with AI agents. All six sections are independent and can be completed in any order.

Section 1 — Event-Driven AIOps

Activity Link Estimated Time
Slides: Introduction + Workshop Brief 🖥️ Google Slides ⏱️ 15 minutes
Section 1 — AIOps with Apache Remediation 🚀 Launch Exercise ⏱️ 30-40 minutes
Section 2 — AIOps with Network Automation 🚀 Launch Exercise ⏱️ 30-40 minutes
Section 3 — AIOps with Windows Automation 🚀 Launch Exercise ⏱️ 15-20 minutes

Break — ⏱️ 15 minutes

Section 2 — AI-Powered Content Creation & Autonomous Remediation

Activity Link Estimated Time
Section 4 — Red Hat Lightspeed and Agentic IDE Workflow 🚀 Launch Exercise ⏱️ 50-70 minutes
Break ⏱️ 15 minutes
Section 5 — Autonomous AIOps with Self-Healing RHEL 🚀 Launch Exercise ⏱️ 20-30 minutes
Section 6 — AI-Driven Incident Response with MCP 🚀 Launch Exercise ⏱️ 30-40 minutes
Slides: Summary & Call to Actions 🖥️ Summary ⏱️ 10 minutes

Learning Resources

Ansible Workshop

This is an official Ansible Workshop

This workshop is maintained by the Red Hat Ansible Technical Marketing Team.
Please open an issues on Github

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