WeAreDevelopers World Congress 2025 - GenAI Masterclass

Workshop materials for "From Zero to Hero: How to put GPT LLMs & friends into your applications - Generative AI in Action"

Description

A hands-on masterclass teaching how to integrate Generative AI and Large Language Models into applications. Covers key architectural patterns including In-Context Learning, RAG, Structured Output, Tool Calling, and ReAct.

Topics Covered

• Human language as interface for software (prompts as UI)
• LLM basics with Python and .NET APIs
• RAG (Retrieval-Augmented Generation)
• Function/Tool Calling
• Structured Output
• ReAct (Reasoning & Acting) agents
• Speech-to-text integration

Repository Structure

Demos/                    # Live demonstration code
  Hello World/            # Basic LLM integration (LangChain, Semantic Kernel, OpenAI SDK)
  Function Calling/       # Tool calling examples (LangGraph, Semantic Kernel)
  Information Extraction/ # Voice orders, flight query extraction
  RAG/                    # Embeddings, vector DB, retrieval patterns
  ReAct/                  # Barebones ReAct agent implementation

Hands-on/                 # Workshop exercises with solutions
  chat/                   # Simple chat lab
  function_calling/       # Tool calling lab
  structured_output/      # Extraction lab
  vector_db-and-rag/      # RAG lab

Tech Stack

• Python: LangChain, LangGraph, OpenAI SDK, Streamlit
• .NET/C#: Semantic Kernel, OpenAI SDK
• Jupyter Notebooks for demos and labs

Prerequisites

• Python 3.10+
• .NET 8.0+
• OpenAI API key (or Azure OpenAI)

Setup

1. Clone the repository
2. For Python projects: pip install -r requirements.txt in respective folders
3. For .NET projects: Open gen-ai-workshop.sln in Visual Studio
4. Copy .env.example to .env and add your API keys

License

MIT