AI Training Academies • AI-Augmented DevOps and SRE

Apply AI Agents to DevOps and SRE

A 10-day program for DevOps engineers and SREs. AI-assisted IaC, containers, CI/CD pipelines, incident response, and runbook automation—closing with an AI-assisted on-call capstone on a simulated production system.

10
Training Days
2
Weeks
2–4
Weeks Flexible

Schedule options: Full-time (2 weeks, Mon–Fri) · Half-days (~4 weeks) · Custom cadence for global teams

Request Training Quote View Curriculum
Claude CodeClaude Code
GitHub CopilotGitHub Copilot
GitHub ActionsGitHub Actions
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AzureAzure
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IDEs & Editors
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WindsurfWindsurf
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JetBrains IDEsJetBrains
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AI Agents That Understand Your Infrastructure

DevOps and SRE workflows involve a huge amount of repetitive, high-stakes text work: IaC authoring, runbook maintenance, incident write-ups, pipeline configuration. This academy trains your team to use AI agents to accelerate all of it—without sacrificing rigor or security.

  • Infrastructure-Focused Content
    Covers IaC, K8s, CI/CD, observability, security
  • Simulated Production Capstone
    AI-assisted on-call on a realistic system
  • Customizable Toolchain
    Adapt to your cloud provider and CI/CD platform
  • Flexible Scheduling
    Full days, half-days, or custom cadence
  • Online or On-Site
    Delivered wherever your team works
  • Session Recordings
    Review material at your own pace (online delivery)
Week 1: Infrastructure and Pipelines

AI-assisted IaC, containers/K8s with agents, CI/CD pipeline with AI review steps

Week 2: Incident Response and Capstone

Incident response, runbook automation, LLM-assisted log/trace analysis, security guardrails, capstone

Academy Curriculum

Two weeks covering AI-augmented infrastructure and operations, closing with a simulated on-call capstone.

Week1

AI-Assisted Infrastructure and Pipelines

5 full-days or 10 half-days · 35 training hours

Use AI agents to author and review IaC, accelerate Kubernetes configuration and troubleshooting, and add intelligent review steps to CI/CD pipelines—without sacrificing audit trails or security controls.

Topics

  • AI-assisted Terraform and CloudFormation authoring
  • IaC code review with agentic scan gates
  • Kubernetes manifest generation and optimization
  • Claude Code / Copilot for container troubleshooting
  • GitHub Actions: agentic PR review steps
  • Pipeline-as-code generation and validation
  • AI-generated runbook drafts and policy docs

Lab Project

Build a complete CI/CD pipeline with AI-assisted IaC, Kubernetes deployment manifests, and agentic review gates—all generated and validated with agent assistance.

Week2

Incident Response, Observability, and Capstone

5 full-days or 10 half-days · 35 training hours

Apply LLMs to incident response, runbook automation, and log/trace analysis. Add security guardrails for AI-assisted operations. Close with a full capstone on a simulated production system under incident conditions.

Topics

  • LLM-assisted log analysis and anomaly triage
  • Trace correlation with AI-generated hypotheses
  • Runbook automation with agents
  • AI-generated incident post-mortems
  • Security guardrails for AI ops tooling
  • Responsible automation: human-in-loop design
  • Capstone: AI-assisted on-call simulation

Capstone Project

Respond to a simulated multi-service production incident using AI-assisted log analysis, runbook agents, and hypothesis generation—then produce an AI-drafted post-mortem.

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