Pythonic LLM Prompt Engineering for Real Estate Data Analysis

Learn how to leverage Large Language Models (LLMs) for real estate market analysis through a hands-on video tutorial that demonstrates the transformation of static tabular data into meaningful natural language narratives. Explore the integration of Anaconda, Ollama, LLama, and Jupyter Notebooks in a Windows PowerShell environment while discovering essential prompt engineering techniques. Master the fundamentals of creating "Agentic AI" by implementing higher-order functions with LLMs, providing them with proper context and direction for actionable insights. Gain practical experience in developing ETL + LLM processes that can be stacked to create enriched, multi-domain data products for informed decision-making in the real estate sector.