Courses / Live bootcamps
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$419, down from A$890. Live sessions run on weekday evenings from 5:30 PM Sri Lanka and India time, with full-day sessions at weekends.
Founding cohort: A$419A$890
Founding cohort, one payment. Founding students keep their founding price on any second programme.
10 spots open now
0 held · 10 open
First cohort. Spot holders hear the start date first.
By week 12, you will have shipped
Weeks 1 to 2
Three tiers
Weeks 3 to 4
Rebuilt from code
Weeks 5 to 6
On Kubernetes
Weeks 7 to 8
Private AI
Weeks 9 to 10
The platform
Weeks 11 to 12
Employer brief
- weeks, live on Zoom
- 12
- hours a week
- 15
- deployed projects
- 6
- 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
- AWS
- Azure
- Terraform
- Docker
- Kubernetes
- networking
- IAM
- observability
- FinOps
A week, about 15 hours
- Live on Zoom
- 4h
- Set reading and exercises
- 6h
- The project
- 5h
- 1
Six deployed projects
Each graded by Nova against a published rubric and signed off by the instructor at the gate.
- 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
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
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
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
The certificate
A credential ID that resolves at square1ai.com/verify to the real completion.
- 7
The hiring sprint
Weeks 11 and 12: CV and portfolio from graded work, applications, mock interviews scored against the role, demo day.
- 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.
Cloud foundations
Part 1 · Weeks 1 to 2
A fictional online bookshop needs its web application on AWS. You design the network, put the application behind a load balancer in an auto scaling group, keep the database private and write down every security choice you made.
- AWS
- Azure
- Terraform
Key skills- Accounts, regions and the shared responsibility model
- Networking: VPCs, subnets, routing, DNS
- Identity 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.
Infrastructure as code
Part 2 · Weeks 3 to 4
Rebuild the bookshop environment entirely in Terraform, with remote state, reusable modules and a CI pipeline that plans on every pull request and applies on merge.
- Terraform
- GitHub
- AWS
Key skills- Terraform from first resource to modules
- State, workspaces and drift
- Pipelines that plan and apply
Week 3
Infrastructure as code
Terraform resources, variables and outputs. Modules. State, workspaces and drift.
You build: The block-one network in Terraform
Week 4
Project 2: rebuilt from code
Plan and apply in CI. Remote state and locking. Teardown and rebuild.
You build: The whole environment rebuilt from Terraform in a pipeline
Project 2 · the gate at week 4
Rebuilt from code
The block-one environment rebuilt from Terraform in a CI pipeline
You hand in
- Terraform repository with modules
- CI pipeline
- A teardown and rebuild recording
The gate
A teardown and rebuild produces the same environment.
Containers and Kubernetes
Part 3 · Weeks 5 to 6
Containerise the bookshop's order API and run it on EKS or AKS with health checks, rolling updates and autoscaling, then prove it stays up when a node is removed under load.
- Docker
- Kubernetes
- TypeScript
Key skills- Docker images that are small and safe
- Kubernetes: deployments, services, ingress
- Managed clusters: EKS and AKS
Week 5
Containers and Kubernetes
Docker images that are small and safe. Deployments, services and ingress. EKS and AKS.
You build: A containerised API; squads form
Week 6
Project 3: on Kubernetes
Autoscaling. Health checks and rollouts. Load testing.
You build: The API on managed Kubernetes, surviving a node failure
Project 3 · the gate at week 6
On Kubernetes
A containerised API on a managed Kubernetes cluster with autoscaling, deployed
You hand in
- Dockerfile and image scan
- Kubernetes manifests or Helm chart
- Load test and failure test results
The gate
The service stays up through a node failure and a load test.
AI workloads in the cloud
Part 4 · Weeks 7 to 8
The bookshop wants a support assistant that answers from its own policies. You deploy a retrieval application on Bedrock or Azure AI Foundry where no model traffic crosses the public internet, and report what each answer costs.
- Azure
- AWS
- Terraform
Key skills- Bedrock and Azure AI Foundry
- GPUs, quotas and cost
- Private networking for model endpoints
Week 7
AI workloads in the cloud
Bedrock and Azure AI Foundry. GPUs, quotas and cost. Private networking for model endpoints.
You build: A retrieval service on a managed model
Week 8
Project 4: private AI
Private endpoints. Secrets and keys. Cost per request.
You build: A retrieval application with private endpoints and a cost report, deployed
Project 4 · the gate at week 8
Private AI
A retrieval application on Bedrock or Azure AI Foundry with private endpoints, deployed
You hand in
- Deployed retrieval application
- Network diagram with private endpoints
- Cost per request report
The gate
No model traffic leaves the private network and the cost per request is reported.
Operate, secure, optimise
Part 5 · Weeks 9 to 10
Run the full platform as if you were on call: dashboards, alerts that page, a runbook, a security posture review and a cost report with three savings. The instructor seeds an outage and you fix it live.
- AWS
- Azure
- Terraform
Key skills- Observability: logs, metrics, traces
- Security posture and incident response
- FinOps and the Well-Architected review
Week 9
Operate, secure, optimise
Logs, metrics and traces. Security posture and incident response. FinOps and the Well-Architected review.
You build: Monitoring, alerts and a runbook
Week 10
Project 5 and the viva
A seeded outage. Root cause and the fix. Defending the design.
You build: The production platform with a runbook and cost report; the viva
Project 5 · the gate at week 10
The platform
The capstone: a production platform with monitoring, alerts, a runbook and a cost report
You hand in
- Dashboards and alerts
- Runbook
- Posture review
- Cost report with savings
The gate
The viva: walk a seeded outage from alert to fix.
Employer brief and hiring sprint
Part 6 · Weeks 11 to 12
A fictional logistics company running on two ageing servers gives your squad a scoped migration or platform problem. You deliver a plan, the Terraform and a working environment within the fortnight. If no partner brief is available, the instructor sets an equivalent one.
- Terraform
- AWS
- Azure
Key skills- A partner's cloud problem
- Demo day
- CV, portfolio, applications, mock interviews
Week 11
Employer brief
A real problem from a hiring partner, in squads. A partner's cloud migration, platform or cost problem. Working to someone else's definition of done.
You build: The employer brief in progress
Week 12
Hiring sprint
CV and portfolio built from graded work. Applications and follow-ups in the hiring plan. Mock interviews scored against the role. Demo day.
You build: Project 6 delivered; demo day
Project 6 · the gate at week 12
Employer brief
The employer brief shipped, and demo day
You hand in
- Scoped plan agreed with the owner
- Terraform and the running environment
- Handover documentation
- Demo day presentation
The gate
The brief's owner accepts the result.
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
Design a secure network and identity model on AWS and Azure with least privilege.
- 2
Build every environment in Terraform and deploy it from a CI pipeline.
- 3
Package services as small, safe containers and run them on managed Kubernetes with autoscaling.
- 4
Deploy an AI workload on Bedrock or Azure AI Foundry behind private endpoints, with its cost per request.
- 5
Run a platform with logs, metrics, traces, alerts, a runbook and a cost report.
- 6
Answer the architecture questions in AWS Solutions Architect Associate and Azure AZ-104 from things you built.
- 7
Walk an outage from the first alert to the fix and explain the root cause.
Roles this prepares you for
- Cloud engineer
- DevOps engineer
- Platform engineer
- Cloud support engineer
- AI 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 Bootcamp
Example
- Week 2Graded, gate signed
Three tiers
The architecture review finds no public database and no wildcard permission
- Week 4Graded, gate signed
Rebuilt from code
A teardown and rebuild produces the same environment
- Week 6Graded, gate signed
On Kubernetes
The service stays up through a node failure and a load test
- Week 8Graded, gate signed
Private AI
No model traffic leaves the private network and the cost per request is reported
- Week 10Graded, gate signed
The platform
A viva: walk a seeded outage from alert to fix
- Week 12Graded, gate signed
Employer brief
The brief's owner accepts the result
- Weeks 1 to 12Kept
Twelve 1-1 notes
What your instructor saw in your work each week, and what you agreed to do next.
- Week 12Kept
Your hiring plan and its outcome
Target roles, the gap map, applications, interviews and where you landed.
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. 10 spots are open.
Reserve my spotHow 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.
- 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
The hiring sprint
Weeks 11 and 12: CV, portfolio, applications, mock interviews, and demo day in front of hiring partners.
- 3
A record an employer can run
Your six deployed projects and the recorded viva on /verify. An employer opens it, runs the code and watches you defend it.
- 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
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.
Does the Cloud Engineer bootcamp prepare me for AWS Solutions Architect Associate?
Yes. The first two blocks cover the networking, identity, storage and architecture choices the SAA-C03 exam tests, and you build each one rather than reading about it. Many students sit SAA-C03 or AZ-104 after block three.
Do I need cloud experience to start?
No. You need to be comfortable on the command line and in one programming language. Block one starts from an empty AWS account and builds a three-tier application from there.
How long is the Cloud Engineer with AI Bootcamp?
12 weeks at about 15 hours a week. The weeks run as six two-week blocks; each block ends in a project you deploy and a gate you must pass before the next block opens.
Is the Cloud Engineer with AI Bootcamp live or self-paced?
Live. It is taught on Zoom by one instructor, with a 30-minute one-to-one every week. Nova, Square 1's AI tutor, grades every exercise and project between sessions against a rubric you can read.
When are the live sessions for the Cloud Engineer with AI Bootcamp?
Live sessions run on weekday evenings from 5:30 PM Sri Lanka and India time, with full-day sessions at weekends. That is 5:00 PM in Pakistan, 5:45 PM in Nepal and 6:00 PM in Bangladesh, so the sessions fit around a working day.
How much does the Cloud Engineer with AI Bootcamp cost?
A$419 for the founding cohort, paid once; the standard price is A$890. It is the same price in every country. Founding students keep their founding price on any second programme.
Who is the Cloud Engineer with AI Bootcamp for?
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.
What will I build in the Cloud Engineer with AI Bootcamp?
6 deployed projects: Three tiers, Rebuilt from code, On Kubernetes, Private AI, The platform and Employer brief. Each is graded against a published rubric and kept on a record an employer can open at /verify.
What skills does the Cloud Engineer with AI Bootcamp teach?
AWS, Azure, Terraform, Docker, Kubernetes, networking, IAM, observability and FinOps. It prepares you for roles such as Cloud engineer, DevOps engineer, Platform engineer and Cloud support engineer.
Does the Cloud Engineer with AI Bootcamp guarantee a job?
No. No placement rate is published because the first cohorts have not graduated. What you leave with is six deployed projects, a recorded defence of your code and a hiring plan worked through with your instructor, including a two-week hiring sprint at the end.
How do I join the Cloud Engineer with AI Bootcamp?
Reserve one of the ten spots on this page with your email. Spot holders hear the start date first, and nothing is charged before you confirm. The price on this page is in Australian dollars and is the same in every country.
10 spots. Hold one of them.
10 spots, 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
About a minute. No account, no card, and nothing is charged until you confirm.