Algol Labs AI Workshop - Jordan

Hands-on AI/LLM Workshop for Jordanian Engineers

This repository contains all materials for a two-session AI/LLM workshop designed for engineers in Jordan who want to learn practical AI skills. The workshop assumes no prior AI experience and focuses on building useful, immediately applicable knowledge.

Workshop Overview

Target Audience

• Engineers with PHP, .NET, or Python experience
• No prior AI/LLM knowledge required
• Comfortable with basic programming concepts

Sessions Structure

• Session 1 (2 hours): AI/LLM Fundamentals - API calls and parameter tuning
• Session 2 (2 hours): RAG Implementation - Building practical AI applications

Learning Outcomes

By the end of both sessions, participants will be able to:

• Make API calls to LLMs with proper parameter tuning
• Understand temperature, topK, and other key parameters
• Implement simple RAG (Retrieval-Augmented Generation) systems
• Build basic AI-powered applications

Repository Structure

/
├── docs/                    # Workshop materials and guides
│   ├── slides/             # Presentation slides for screen sharing
│   ├── guides/             # Step-by-step guides and references
│   └── references/         # Additional learning resources
├── code/                   # Example projects and exercises
│   ├── session-1/          # API calls and parameter tuning examples
│   └── session-2/          # RAG implementation examples
├── setup/                  # Environment setup scripts
│   ├── requirements.txt    # Python dependencies
│   ├── setup.py           # Setup automation script
│   └── vscode/            # VS Code configuration
└── README.md              # This file

Quick Start

1. Clone this repository

   git clone https://github.com/Algol-Labs/algol-labs-ai-workshop
   cd algol-labs-ai-workshop

2. Set up your environment

   cd setup
   python setup.py

3. Start with Session 1 materials

   cat ../docs/guides/session-1-setup.md

Workshop Schedule

• Session 1: Before mid-November 2025
• Session 2: Early January 2026

Technology Stack

Built using modern, production-ready technologies:

• Python 3.12+ - Accessible and powerful
• OpenAI API - Free tier available for learning
• Local RAG - No external dependencies for privacy
• VS Code - Familiar development environment

Contributing

This is an open-source workshop designed to help the Jordanian tech community build AI capacity. Contributions welcome!

License

MIT License - free to use and modify for educational purposes.

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Built with ❤️ for the Jordanian tech community by Zaid Amireh