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https://github.com/becloudready/quick-labs

Quick Labs - Interviews, Training and Demos
https://github.com/becloudready/quick-labs

aws azure digitalocean python

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Quick Labs - Interviews, Training and Demos

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README

          

# **Quick-Labs**
**Easily deploy and manage technical labs for interviews, training, and demos.**

## **✨ Features**
✅ **One-Click Lab Deployment** – Quickly launch pre-configured environments.
✅ **Supports Multiple Technologies** – Set up labs for:
- 🐧 **Linux** (Bash scripting, system administration)
- 🛢️ **Databases** (MySQL, PostgreSQL, MongoDB, etc.)
- ☸️ **Kubernetes** (Clusters, Deployments, CI/CD)
- 🤖 **AI Agents** (LLMs, automation, and chatbot environments)
✅ **Configurable & Scalable** – Customize labs with YAML-based templates.
✅ **Cloud & On-Prem Support** – Works on **AWS, GCP, Azure, and local setups**.
✅ **Automated Scoring (Optional)** – Assess interview performance in real-time.

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## **🚀 Getting Started**
### **1️⃣ Clone the Repository**
```bash
git clone https://github.com/becloudready/quick-labs.git
cd quick-labs
```

### **2️⃣ Install Dependencies**
```bash
pip install -r requirements.txt # For AI & Automation Labs
kubectl version --client # For Kubernetes Labs
```

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## **📦 Available Labs**
| Lab Name | Description |
|-----------|------------|
| `linux` | Learn shell scripting and sysadmin tasks |
| `db` | Hands-on with MySQL & PostgreSQL |
| `k8s` | Deploy a Kubernetes cluster for practice |
| `ai-agent` | Set up an AI-powered chatbot & automation |

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## **🛠️ Contributing**
We welcome contributions! Feel free to:
- Create new labs
- Improve automation scripts
- Report issues & request features

Fork the repo and submit a **Pull Request**.

---

## **License**
Licensed under **Apache License**.