Alright, let's kick things off properly. Starting today, we're running the 7-Day AI IT Challenge — one small task per day, designed to show you how AI actually works in real IT and cloud scenarios. No prior experience needed. No setup required (yet). Just your brain and access to ChatGPT (free tier is fine). --- How it works Every day for the next 7 days, I'll drop a challenge post in this community. Your job: try it, share your result (screenshot, output, one sentence about what happened), and react to what others post. That's it. Simple participation, real learning. --- The 7 challenges Day 1 — The Prompt Test Ask ChatGPT: "Write a PowerShell script that lists all running services on a Windows machine and exports them to a CSV file." Run it (or just review it). Screenshot the output. Post it here. Day 2 — Cloud Terminology Decoder Ask ChatGPT: "Explain the difference between AWS EC2, Azure VM, and GCP Compute Engine like I'm a sysadmin who's never used cloud before." Share the most useful part of the answer. Day 3 — Terraform Starter Ask ChatGPT: "Generate a Terraform configuration to create an S3 bucket on AWS with versioning enabled." Post the code block. Bonus: tell us if you actually ran it. Day 4 — Automate Something Annoying Think of one repetitive IT task you do manually. Ask ChatGPT to write a script for it. Share the task + the script. Extra points for the most creative answer. Day 5 — Azure CLI Speed Run Ask ChatGPT: "Give me the Azure CLI commands to create a resource group, storage account, and static website in under 5 steps." Try it in Azure Cloud Shell (free, browser-based). Screenshot the result. Day 6 — Security Check Ask ChatGPT: "What are the top 5 IAM mistakes people make on AWS and how do I fix them?" Share the one that surprised you most. Day 7 — Your AI Project Pitch Describe a real project you want to build on cloud. Ask ChatGPT to give you a step-by-step plan. Share the plan here. Best one gets a shoutout and early access to Week 2 content.

Quick breakdown of what paid members get, and why it's not just another course. Every week you get: 📁 Project brief — a real task (e.g. "deploy a containerised app on GKE"), with context on why it matters in production 🤖 AI prompt — the exact ChatGPT prompt to generate your starting config, script, or infrastructure code 📋 Step-by-step guide — what to build, what to click, what commands to run, what the output should look like ✅ Completion checklist — verify you actually built it correctly before claiming your certificate 🏆 Certificate — a PDF with your name, project name, and date. Something you can add to LinkedIn or your CV. What makes this different from a course: You produce real outputs. Not quiz scores. Not badges. Actual Terraform files, live cloud URLs, working deployments — things you can screenshot and show an employer. It's closer to a paid internship than a MOOC. --- Founders deal is still open: First 10 paid members get 50% off for life — €29/month instead of €49. 👉 Upgrade here: https://www.skool.com/cloud-cost-optimization-3746

This category is for questions. Any question. Seriously. Whether you're wondering what the difference between AWS and Azure is, or you're stuck on a Kubernetes manifest that won't deploy — post it here. Rules for Q&A: - One question per post (makes it easier to search later) - Include what you tried before asking - If someone answers your question and it works, reply to confirm — helps the next person I'll personally answer every question in the first week. After that, the community takes over. To kick things off — drop your first question below. What's the one cloud or AI topic you've always wanted to understand but never had a good answer for?

If you've never touched cloud before, this is where you start. We're going to create a storage bucket on GCP using the browser console — no CLI, no code, no credit card (GCP has a $300 free trial). Step 1 — Create a free GCP account Go to cloud.google.com → click "Start free" → sign in with Google → activate the $300 free trial. Step 2 — Open Cloud Shell In the top right of the GCP console, click the terminal icon >_ to open a browser-based Linux terminal. No setup needed. Step 3 — Create a storage bucket Run this in Cloud Shell: gsutil mb -l europe-west1 gs://my-first-bucket-$(date +%s) Step 4 — Upload a file echo "Hello from GCP!" > hello.txt gsutil cp hello.txt gs://my-first-bucket-[your bucket name]/ Step 5 — Verify it's there gsutil ls gs://my-first-bucket-[your bucket name]/ You just used the Google Cloud CLI to create cloud storage and upload a file. Now do this: Ask ChatGPT — "What else can I do with Google Cloud Storage? Give me 5 practical examples for a sysadmin." Post your output in the comments. That's your first AI-assisted cloud task done.

These are the 5 prompts I use most often. Copy them, save them, adjust them to your cloud of choice. Prompt 1 — Generate Terraform from scratch "I need Terraform code to deploy [describe your infrastructure]. Use best practices: variables.tf, outputs.tf, main.tf structure. Add comments explaining each block." Prompt 2 — Debug a cloud CLI error "I ran this command: [paste your command]. I got this error: [paste the error]. I'm using [AWS CLI / Azure CLI / gcloud]. What's wrong and how do I fix it? Give me the corrected command." Prompt 3 — Explain any cloud concept simply "Explain [concept, e.g. 'AWS IAM roles vs IAM users'] like I'm a sysadmin who knows on-prem but is new to cloud. Use an analogy. Then give me a real example of when I'd use each one." Prompt 4 — Write a PowerShell / Bash automation script "Write a [PowerShell / Bash] script that [describe what you want it to do]. Add error handling and comments." Prompt 5 — Review my config for security issues "Here is my [Terraform / ARM template / Kubernetes YAML / cloud config]: [paste your code]. Review it for security issues, misconfigurations, and cost inefficiencies. List each issue and how to fix it." Save these. Adjust the brackets to your situation. Which one do you use first? Drop it in the comments.