Data

AI for Coding: Concepts and Context

August 6, 2026, 1:00 pm to 1:45 pm

Date: Thursday, August 6, 2026
Time: 1:00pm - 1:45pm
Presenter: Grigory Artazyan, Jeremy Buhler
Location: Online

The first in a three-part series on AI for Coding, this workshop introduces fundamental concepts that will help you engage efficiently with AI in coding tasks. We will use non-technical language to explain how Large Language Models (LLMs) work, so you can use them more effectively.

By the end of this workshop, you will:

  • Have a conceptual understanding of how LLMs work
  • Learn how to write intelligible prompts that AI tools respond to best
  • Understand the privacy risks of using AI

 

About the series: AI for Coding consists of three 30-minute workshops designed to help you use Large Language Models (LLMs) to support exploratory data analysis. We will introduce fundamental concepts, practice breaking down problems into actionable components, and use GitHub Copilot to integrate AI and code more efficiently. Each workshop begins with 30 minutes of teaching, followed by optional 15 minutes for questions, discussion, and practice.

 

Register for other workshops in the series:

  1. Concepts and Context - August 6, 2026, 1-1:45pm
  2. Introduction to GitHub Copilot - August 13, 2026, 1-1:45pm
  3. Explore, Prompt, and Build with GitHub Copilot - August 20, 2026, 1-1:45pm
Campus/Source

https://libcal.library.ubc.ca/event/4040589


  • Data
  • Research Commons

First Nations land acknowledegement

We acknowledge that UBC's two main campuses are located on the traditional, ancestral and unceded territories of the xwmə0– kwəyˇəm (Musqueam) and Syilx (Okanagan) peoples, and that UBC’s activities take place on Indigenous lands throughout British Columbia and beyond.


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