AI-Assisted Programming for Industrial Engineering Students

Stop waiting for someone else to build the tool you need. Build it yourself, today

Boris Gorelik, Ph.D.  ·  Data science consultant and educator  ·  boris@gorelik.net

Target audience: Industrial engineering students  ·  No programming background required

Delivery formats

Lecture 1 hour  ·  Zoom or in person
₪4,000
Up to 100 participants
  • Discover that building useful tools is within reach, no CS degree needed
  • See what IE-relevant tools look like when built with AI assistance
  • What AI-assisted coding is, and why it changes what non-programmers can build
  • Demo: an interactive dashboard that reads an Excel file and visualizes a production process
  • Demo: a tool that flags anomalies in supplier or operations data
  • Demo: an LLM-powered assistant that answers questions over a dataset
  • Instructor-led only, no student participation
Workshop 3 hours  ·  Zoom or in person
₪9,000
Up to 15 participants
  • Build a working data tool without writing a single line of code manually
  • Leave with something you can actually use in your studies or internship
  • GitHub Copilot as a non-programmer's superpower: describe what you want and get working code
  • Building an interactive web app that loads, filters, and visualizes tabular data
  • Adding an LLM-powered layer: ask questions about your data in plain language
  • Iterating and improving the tool through conversation with the AI
  • Every participant builds and runs their own app during the session
Course 3 sessions × 3 hours
₪22,000
Up to 15 participants
  • Design and build a complete IE tool from the ground up
  • Become the person on your team who can turn a problem into a working solution
  • Session 1: From idea to working prototype. GitHub Copilot basics, building an interactive data dashboard around a real IE scenario (e.g. process monitoring, inventory tracking)
  • Session 2: Making it smarter. Integrating an LLM API for natural language data interaction; adding analysis and alerting logic
  • Session 3: Refinement and presentation. Improving the interface, handling edge cases, and presenting the finished tool as a portfolio piece
  • Students leave with a working, deployable app built around a real industrial engineering problem

Prerequisites (workshop & course)

Participants are expected to arrive with VS Code installed and GitHub Copilot active (free for students). No prior programming experience is required. Instructions on how to obtain an API key giving access to multiple LLM providers will be sent in advance. No installation time is budgeted into the session itself.

This program is not about learning to code. It is about learning to build. IE students who complete this program will be able to turn a process problem or a data challenge into a working tool on their own, without depending on a software team to do it for them.