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Live bootcampTaught live on Zoom, one instructor

Cloud Engineer with AI Bootcamp

Build, secure and run AI workloads on AWS and Azure with Terraform, containers and Kubernetes.

Cloud Engineer with AI Bootcamp is a 12-week live online bootcamp, taught on Zoom by one instructor at about 15 hours a week, with 6 deployed projects and a one-to-one every week. The founding price is A$200, down from A$400. Live sessions run on weekday evenings from 5:30 PM Sri Lanka and India time, with full-day sessions at weekends.

Taught with
AWSAzureTerraformDockerKubernetes
By week 12, you will have shipped
  1. Week 1Static Site on S3A static website hosted on AWS S3 with a custom domain and HTTPS
  2. Weeks 1–2Cloud foundationsA three-tier web application on AWS behind a load balancer, deployed
  3. Week 3Terraform ModuleA Terraform module that creates a network with public and private subnets
  4. Weeks 3–4Infrastructure as codeThe block-one environment rebuilt from Terraform in a CI pipeline
  5. Weeks 5–6Containers and KubernetesA containerised API on a managed Kubernetes cluster with autoscaling, deployed
  6. Week 7Private Model CallA Lambda function that calls a Bedrock model through a private endpoint
  7. Weeks 7–8AI workloads in the cloudA retrieval application on Bedrock or Azure AI Foundry with private endpoints, deployed
  8. Week 9Cost AlarmA budget alarm and cost report for one AWS account, built in Terraform
  9. Weeks 9–10Operate, secure, optimiseThe capstone: a production platform with monitoring, alerts, a runbook and a cost report
  10. Weeks 11–12Employer brief and hiring sprintThe employer brief shipped, and demo day
weeks, live on Zoom
12
hours a week
15
projects to build
10
minutes 1-1, every week
30

Who it is for, and what you receive.

Developers, IT and support people comfortable on the command line who want to build and run cloud platforms, including the AI workloads every company is now moving to AWS and Azure.

Before you start

Comfortable on the command line and with one programming language; no cloud experience needed.

Skills
AWSAzureTerraformDockerKubernetesnetworkingIAMobservabilityFinOps
A week, about 15 hours
Live on Zoom
4h
Set reading and exercises
6h
The project
5h
  1. 1

    Six deployed projects

    Each graded by Nova against a published rubric and signed off by the instructor at the gate.

  2. 2

    The twelve-week plan

    Every week has its theme, its topics and what you build, published before you apply and taught live by your instructor.

  3. 3

    Live on Zoom every week

    A 90-minute live code review, a 60-minute squad lab, 60 minutes of office hours, and a 30-minute 1-1 with your instructor.

  4. 4

    Your hiring plan

    Opened in week 1 and reviewed in every 1-1: target roles, the gap map, the proof list, weekly actions, an interview log, the outcome.

  5. 5

    The record

    Every grade and every project with its repository at square1ai.com/u/{handle}, and the recording of your viva, verifiable by any employer.

  6. 6

    The certificate

    A credential ID that resolves at square1ai.com/verify to the real completion.

  7. 7

    The hiring sprint

    Weeks 11 and 12: CV and portfolio from graded work, applications, mock interviews scored against the role, demo day.

  8. 8

    Nova for twelve weeks

    A tutor with every submission of yours in its memory, at 2am as well as in class.

Twelve weeks in six parts.

Each part teaches for a week, then you build and deploy a project, then a gate checks it before the next part opens. The project and its gate are the part's entry on your record.

Live time each week on Zoom: a 90-minute class where the instructor reviews real submissions, a 60-minute squad lab, 60 minutes of office hours, and your own 30-minute 1-1. Nothing is lectured live; the recorded lessons do that.

  1. Key skillsAccounts, regions and the shared responsibility modelNetworking: VPCs, subnets, routing, DNSIdentity and least privilege
    Week 1

    Cloud foundations

    • Accounts, regions and the shared responsibility model
    • Networking: VPCs, subnets, routing, DNS
    • Identity and least privilege

    You build: A VPC with public and private subnets

    Week 2

    Project 1: three tiers

    • Load balancers and auto scaling groups
    • Managed databases in private subnets
    • The architecture review

    You build: A three-tier web application on AWS behind a load balancer, deployed

    Project 1 · the gate at week 2

    Three tiers

    A three-tier web application on AWS behind a load balancer, deployed

    You hand in
    • Architecture diagram
    • The deployed application
    • Security decisions log
    The gate

    The architecture review finds no public database and no wildcard permission.

What you can do by week 12.

Six cloud environments you built and ran, all in Terraform, including an AI workload on private endpoints, and the hands-on grounding for the AWS Solutions Architect Associate and Azure AZ-104 exams.

  1. 1

    Design a secure network and identity model on AWS and Azure with least privilege.

  2. 2

    Build every environment in Terraform and deploy it from a CI pipeline.

  3. 3

    Package services as small, safe containers and run them on managed Kubernetes with autoscaling.

  4. 4

    Deploy an AI workload on Bedrock or Azure AI Foundry behind private endpoints, with its cost per request.

  5. 5

    Run a platform with logs, metrics, traces, alerts, a runbook and a cost report.

  6. 6

    Answer the architecture questions in AWS Solutions Architect Associate and Azure AZ-104 from things you built.

  7. 7

    Walk an outage from the first alert to the fix and explain the root cause.

Roles this prepares you for
Cloud engineerDevOps engineerPlatform engineerCloud support engineerAI infrastructure engineer

No placement rate is shown, because there are no graduates to count yet. The roles above are what the projects are built for.

Your record at week 12.

Every exercise and project is graded by Nova against a rubric you can read, and every grade is kept on one page an employer can open and run. This is what the programme writes to it.

Graded, line by line
Nova reads every submission against the brief and the rubric and returns a score, what you did well and what to fix.
Six gates
A block does not open until the previous project passes its gate. You always know where you are and what is next.
A weekly 1-1
Thirty minutes with your instructor, who has already read your code before the call.
One page an employer can run
Every grade, project and the viva recording at /verify. An employer opens it, runs the code and watches you defend it.
Record, Cloud Engineer with AI BootcampExample
  1. Week 2

    Three tiers

    The architecture review finds no public database and no wildcard permission

    Graded, gate signed
  2. Week 4

    Rebuilt from code

    A teardown and rebuild produces the same environment

    Graded, gate signed
  3. Week 6

    On Kubernetes

    The service stays up through a node failure and a load test

    Graded, gate signed
  4. Week 8

    Private AI

    No model traffic leaves the private network and the cost per request is reported

    Graded, gate signed

The entries, not the grades: those are yours to earn. The page lives at /verify and an employer needs no account to open it.

8 entries, twelve weeks. Reserving a spot holds the founding price.

Reserve a seat

How we help you find a job.

The last block is not curriculum. It is the hiring sprint, and the proof you built in the ten weeks before it.

The course booklet

The whole plan on a few pages: the parts, the projects, the gates and the price. We email it to you.

Get the booklet
  1. 1

    Your hiring plan, from week 1

    Six parts you and your instructor keep: target roles, the gap map from real postings, the proof to send, weekly actions, an interview log, the outcome. Read before every 1-1.

  2. 2

    The hiring sprint

    Weeks 11 and 12: CV, portfolio, applications, mock interviews, and demo day in front of hiring partners.

  3. 3

    A record an employer can run

    Your deployed projects and the recorded viva on /verify. An employer opens it, runs the code and watches you defend it.

  4. 4

    The career agent

    Paste a real job posting at /career and it maps the role to your graded work and what to do next.

  5. 5

    The roles directory

    Every role we prepare people for, what it pays and what it asks, at /roles.

Questions people ask.

About Cloud Engineer with AI Bootcamp, answered from the plan on this page.

Related programmes

One cohort, one instructor. Hold your spot.

A cohort of 25, one instructor, 12 weeks, six things you ship. Spot holders hear the start date first, and nothing is charged before you confirm.

  • Six deployed cloud environments, all in Terraform
  • Ready to sit AWS Solutions Architect Associate or Azure AZ-104
  • A recorded viva
  • Your record on /verify
A$200A$400
Reserve a seat

About a minute. No account, no card, and nothing is charged until you confirm.