Calendar

Python fundamentals, setting up the environment, and basic syntax essential for data tasks.

This session explores the benefits and setup of running Large Language Models locally, covering tools like Ollama and LM Studio, model downloading, command-line and API usage, GUI interaction, local inference servers, and basic hardware considerations.

Mastering data manipulation and cleaning using Python's core data science libraries.

Join us as we explore the convergence of GIS/Remote Sensing with AI and how this will lower technical barriers while being a force multiplier in geographic data analysis.

A session focused on fostering thriving diverse teams through humble, authentic leadership, positive mindset, and strong team dynamics to enable collaboration and success from any position in the organization.

This session introduces AI VERDE as a platform for accessing open-source LLMs, highlighting its features, navigation, model selection, and research-focused tools.

Creating impactful data visualizations to uncover patterns and communicate findings.

This session demonstrates autonomous geospatial analysis using AI tools: executing QGIS commands with Claude and generating Earth Engine code with Google's Gemini.

This session explores Retrieval Augmented Generation (RAG) to improve LLM accuracy by integrating external knowledge through document embedding, vector stores, and a retrieval-then-generation workflow.

Applying statistical and visual techniques to explore datasets and generate hypotheses.