01
From one agent to a team
Orchestration patterns, when to split an agent and the coordination failure modes.
AI Academy · AI-05 · Expert
Agentic Team on GCP: start here, free.
Run a whole team of agents in production: Cloud Run, Firestore, scheduling, observability and security.
Who it is for: CTOs, senior developers and agencies running agents as infrastructure.
What you walk away with
Skills you use the same week.
An architecture for multi-agent teams: orchestration, state and queues
Agents deployed on Cloud Run services, jobs and worker pools
Firestore as agent memory with Cloud Scheduler and Pub/Sub driving work
Observability, budgets and model-fallback chains that survive outages
Security: least privilege, sandboxing and prompt-injection defence
TOOLS YOU WORK IN
Google Cloud RunFirestoreCloud Scheduler + Pub/SubSecret ManagerVertex AIClaude APIInside every lesson
Pages you work, not slides you skim.
Each lesson is a short deck of activity-book pages. You predict before you are told, do the task in your own store, and keep the notes. Built to be done, not skimmed.
Predict, then reveal
Commit a guess before the lesson gives you the answer, so it actually sticks.
Hands-on labs
Tick off real tasks in your own store, one at a time, with your progress saved.
Write-in workbook
Jot your answers straight into the page. They save on your device, yours to keep.
No walls of text
Flip-cards, compare panels and deep-dives instead of dense paragraphs to wade through.
Lab
LAB · AGENTIC TEAM ON GCP
- Do the first task in your real workspace
- Tick each step off as you complete it
- Save the result as your deliverable
YOUR CALL FIRST
What will you try first?
Syllabus
10 modules, ~14 hours, one capstone.
02
GCP foundation
Projects, IAM, budgets and Secret Manager, set up the way production teams do it.
60 MIN
03
Compute for agents
Cloud Run services vs jobs vs worker pools, and which shape fits which agent.
60 MIN
04
State and queues
Firestore for agent memory, leases and queues that survive restarts.
60 MIN
05
Scheduling and events
Cloud Scheduler, Pub/Sub and webhooks: agents that wake up on their own.
55 MIN
06
Model strategy
Claude API and Vertex AI side by side: choosing per task, with fallback chains.
55 MIN
07
Observability and reliability
Logging, alerting, cost dashboards, retries and the outage playbook.
60 MIN
08
Security
Least privilege, sandboxing and prompt-injection defence for agents with real access.
60 MIN
09
Build weeks
A research agent, a content agent and a CRM agent sharing one pipeline.
150 MIN
10
Capstone
Your own three-agent team, live, plus an architecture review.
150 MIN
CAPSTONE
Your own three-agent team live on GCP, with an architecture review submission.
Before you ask
Questions, answered.
Running multiple AI agents as production infrastructure on Google Cloud: team architectures (pipeline, orchestrator, blackboard), IAM and Secret Manager foundations, Cloud Run services, jobs and worker pools, Firestore as agent memory with queues and leases, Cloud Scheduler and Pub/Sub, choosing between the Claude API and Vertex AI per task with fallback chains, observability and cost dashboards, and security including prompt-injection defence. The build weeks assemble a three-agent pipeline; the capstone puts your own team live.
CTOs, senior developers and agencies who want agents running as reliable infrastructure, not demos. You should be comfortable with cloud concepts and code; the Managed Agents course (or equivalent experience) is the assumed baseline.
Because the shape fits: Cloud Run gives each agent the right compute shape, Firestore holds shared state, Pub/Sub carries handoffs, Scheduler is the heartbeat, and IAM plus Secret Manager keep each agent's blast radius separate. It is also the stack we run our own agency agents on, so the course teaches from production scar tissue, including a real outage playbook.
Practice. D2C Prominence runs client audits, content, CRM and reporting on this exact architecture. The build weeks reproduce a working research-to-content-to-CRM pipeline modelled on ours, and the reliability module is built from outages we survived.
The course is $999 one-off, AUD. The GCP resources in the labs run comfortably inside the free tier plus a few dollars: Cloud Run scales to zero, Firestore's free quota covers the exercises, and the budgeting module sets spend alerts before anything else deploys.
Checkout opens shortly. The founding waitlist is free, locks the founding intake price, and lesson one, the team-architecture deep dive, is free to read now.
AI-05 · FREE