Practical, hands-on lessons for cutting Kubernetes spend — rightsizing, autoscaling, and idle-resource elimination. Real labs, scripts, and AI-assisted workflows you can run on your own cluster this week.

A hands-on intermediate lesson covering fmt → validate → tflint → checkov → plan. Write constrained prompts that produce zero checkov findings, build a fail-closed validation script, wire it into pre-commit and CI, and add a cost gate with Infracost. 2.5-3.5 hours of labs.

Build an AI agent using boto3 + Claude API + Slack webhooks to detect AWS cost spikes before your bill lands. Intermediate lesson with full working code, 5 hands-on exercises, and a 12-item completion checklist.

Debug pod crashes, OOMKills, and CrashLoopBackOffs using LLMs. Build an AI diagnostic pipeline with kubectl + Claude, auto-triage your cluster, and cut mean-time-to-diagnosis from 15 minutes to under 2 minutes. Hands-on lab with 5 exercises, working scripts, and an agentic K8s debugger.

Build a production-ready Python AI agent that classifies Terraform state drift using Claude API — from terraform plan -json to auto-opened GitHub PRs. Includes full lab code, 5 exercises, and a Slack integration.

Build a 5-stage AI agent that catches AWS privilege escalation mid-chain — before the attacker finishes. Covers 6 real escalation patterns (LAMBDA_PASSROLE, POLICY_VERSION, TRUST_HIJACK and more), Shannon entropy pre-filter, LLM triage with structured JSON output, and GitHub Actions deployment with OIDC auth. Intermediate-Advanced. 3-4 hours.

Build a complete production system: boto3 + AWS Cost Explorer + Cost Anomaly Detection + Claude API to detect, explain, and Slack-alert cost spikes. Intermediate, ~4 hours. Includes 6 hands-on exercises, a 452-line production Python script, Slack Block Kit delivery, Lambda scheduling with Secrets Manager, and a 5-day homework. Members typically find $500-$3,000/month of recoverable waste in their first week.