Contents Part 2 · LangGraph from zero

Start hereThe opening pages

Part 1Agents from zero

Part 2LangGraph from zero

Part 3One DevOps agent, done safely and measured

The demo shop we break all coursecoming
The Kubernetes agent on the real shopcoming
The Approval Gate and the Executorcoming
The Ops Consolecoming
The first attack: an instruction hidden in a log linecoming
What it means for an incident agent to workcoming
The evaluation harnesscoming
Fair numbers for an agentcoming

Part 4Tools the standard way, MCP

What MCP iscoming
Our tools as an MCP servercoming
Real MCP servers for Kubernetes, GitHub and Grafanacoming
Your own MCP server for security scanningcoming
The MCP gatewaycoming
MCP securitycoming

Part 5From one agent to a team

Multi-agent team patternscoming
What a team of agents costscoming
Designing the context firstcoming
The Incident Commander agentcoming
The specialist agentscoming
The Verifier and the Scribecoming
When an agent team goes wrongcoming
Alert intake and paging a humancoming
Long-term memory for the teamcoming

Part 6Production on AWS

AWS from zero, cost safety firstcoming
Terraform, practised on the laptop firstcoming
Amazon EKS with one IAM role per agentcoming
The Cloud agent and the AWS incidentscoming
Kyverno, Secrets Manager and an audit trailcoming
OpenTelemetry export inside your own networkcoming
Approving agent changes from Slackcoming

Part 7Prove it

The operations reportcoming
Red-teaming your own agentscoming
The final evaluationcoming
Buy or buildcoming
Capstone: a new fault and a new specialistcoming

AppendixDevOps basics, if you need them

Containers from zerocoming
Kubernetes podscoming
Kubernetes deploymentscoming
Kubernetes servicescoming
Kubernetes health probescoming
Kubernetes storagecoming
Kubernetes autoscalingcoming
Observability from zerocoming
CI/CD and GitOpscoming

Part 2 · LangGraph from zero

Agent memory: what this incident needs and what the team should remember

Short-term and long-term memory, what to keep, what expires and who may delete it.

This page is part of the paid AIOps on AWS course

The early-access price is ₹3,333 or $100, one payment. It rises to ₹7,777 or $177 once every part is released, and buying now gives you every part as it is released, at no extra cost, with lifetime access.

Free to read first: Introduction: what this course builds, Before you start and What an AI agent is.

Buy the course See what the course covers

Already bought it? Sign in to read this page.