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:
| 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 |
Design application/system architects.
None.
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).
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.
| 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
| 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 |
This is an official Ansible Workshop
This workshop is maintained by the Red Hat Ansible Technical Marketing Team.
Please open an issues on Github
