Live batch · AWS in Action: AI edition
From your first AI prompt to a working AI app on AWS — live.
Ten live chapters on Google Meet. You start as a beginner and finish having built a company IT helpdesk assistant on AWS, one step at a time.
We keep running these live sessions, batch after batch. The next batch is about to begin — and it is free for this batch.
- What it costs
- Nothing. Free to join, and no card is asked for.
- Where it runs
- Google Meet, in your browser. Nothing to install.
- Who it is for
- Beginners and working engineers new to AI — DevOps, backend, QA, freshers.
- What you leave with
- One working AI helpdesk on AWS that you built and can explain.
Why join this batch, not the next one
It's free for this batch
No fee, no card, nothing to install. That is true for this batch — sign up while it is.
Live means you can ask
Stuck on a step? Ask it in the room and get unstuck the same day, not after a week of searching.
You finish with something real
A working AI helpdesk on AWS that you built yourself and can walk an interviewer through.
Registered people hear first
The timing and the Google Meet link go to the people on the list before anyone else.
Free for this batch · takes 30 seconds
Express your interest — the next batch is about to begin
Leave your details and we will get in touch with the timing and the Google Meet link for the next batch. Registered people hear first. Free to join, nothing to pay, and no obligation when it comes round.
The ten chapters
Beginner to pro, one working step at a time
One project grows across the batch: a company IT helpdesk assistant on AWS. It opens with what a language model can and cannot do, builds something you can see working in every chapter after that, and closes with how to explain it in an interview.
Chapter 1 · Concepts
Meet the LLM: what it is, what it does well, where it fails
By the end: You can say what to trust a model with and what to check.
Chapter 2 · Hands-on build
The helpdesk's first answer: a hosted model behind an API
By the end: An API that answers “my laptop won't connect to VPN”.
Chapter 3 · Hands-on build
Employee chat page: private S3 + CloudFront + HTTPS
By the end: The helpdesk chat page, live at its own URL.
Chapter 4 · Hands-on build
Answers from the IT knowledge base (RAG), with the policy page cited
By the end: “How do I set up MFA?” answered from the company's own page.
Chapter 5 · Hands-on build
Tickets through tool use
By the end: “Request Figma access” opens a ticket; “status of 1042?” reads one.
Halfway through, you have a helpdesk that answers from real documents and opens tickets. Five more chapters take it to production.
I want in on the next batch →Chapter 6 · Hands-on build
Triage agent: outage check, try the fix, escalate to an IT queue
By the end: Hard cases reach a person.
Chapter 7 · Hands-on build
Sign-in and safety: roles, masking of pasted secrets, off-topic blocking
By the end: Two roles and guardrails in place.
Chapter 8 · Hands-on build
Ship like a team: GitHub Actions to staging to prod
By the end: A push deploys.
Chapter 9 · Hands-on build
Run it: logs, cost per ticket, alarm, quality check, teardown
By the end: A dashboard, an alarm and a clean delete.
Chapter 10 · Concepts
Your roadmap: learn it, explain it, get hired
By the end: You can walk an interviewer through the helpdesk you built.
Free for this batch
Don't watch this batch go by.
Ten chapters from your first prompt to an AI app you can demo in an interview — live, with your questions answered in the room. Registered people hear first.
Express your interest — it's freeWant a head start? Every course on this site is free to read, no sign-up.