This repository offers a comprehensive Generative AI course designed for individuals seeking to understand and build real-world AI applications. It targets aspiring AI engineers and developers, providing a jargon-free, hands-on approach to topics like LLMs, RAG, and AI agents, with the benefit of practical, production-ready knowledge.

How It Works

The course focuses on AI engineering, emphasizing adapting existing models through techniques like prompt engineering and fine-tuning, rather than traditional model training. It addresses the unique challenges of LLMs, such as higher latency and complex output evaluation, by covering deployment of local LLMs, building chatbots, RAG, AI agents, MCP, and LLMOps.

Quick Start & Requirements

• Install: Clone the repository using git clone <repository_url>.
• Prerequisites: Visual Studio Code, Git, Python 3.x. An OpenAI API key is required for lab exercises.
• Setup: Follow detailed steps to install VS Code extensions (Python, Jupyter), create a .env file with your OpenAI API key, set up a Python virtual environment (python -m venv venv), activate it (source venv/bin/activate or venv\Scripts\activate), and install dependencies (pip install openai python-dotenv jupyter).
• Links: OpenAI Platform for API keys.

Highlighted Details

• Covers building end-to-end AI chatbots and managing context.
• Explains prompt engineering, defensive prompting, and preventing AI exploits.
• Details Retrieval-Augmented Generation (RAG) and AI Agents.
• Includes sections on Model Context Protocol (MCP), LLMOps, and data considerations for AI.

Maintenance & Community

No specific information on contributors, sponsorships, or community channels (like Discord/Slack) is provided in the README.

Licensing & Compatibility

The repository's license is not specified in the README.

Limitations & Caveats

The course requires an OpenAI API key, which may incur costs. The README does not specify the license, which could impact commercial use or closed-source integration. Troubleshooting tips are provided for common setup issues.