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This Premium Webinar provides in-depth demonstrations of the tools you need to start performing useful tasks with AI as well as taking the leap to bringing that code back to a local notebook to execute! You don’t need to be a programmer to follow along and create your first “hello world” pythons AI assistance!


See below for more details.

Details

Date
Thursday, 29 August 2024
Format 2 hours
Cost Standard fee AUD$99.00
Code POD-25-10
Contact training@awschool.com.au
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Presenters

Bill Katzenmeyer

Fenstermaker

William Mark (Bill) Katzenmeyer, P.E., C.F.M. is Senior Water Resources Technical Lead for C.H. Fenstermaker and Associates, LLC.  Bill specializes in hydrologic and hydraulic modeling, automation, a... Read more

Aaron Nichols

Atwell, LLC

Aaron Nichols is a water resources engineer at Atwell, LLC, specializes in 2D modeling with HEC-RAS and FLO-2D. He has worked on projects that include large-scale 2D urban modeling, design of regional... Read more

Sean Micek

Fenstermaker

Sean Micek, P.E. is a licensed Professional Engineer whose background is in hydrologic & hydraulic modelling, coastal transition zone analysis, and full-stack software development. Before joining ... Read more

Blake Marxsen

WMS Engineering

Blake Marxsen is a visionary environmental engineer with expertise in sustainability, hydrology, and AI-driven solutions. Growing up in the small coastal town of Binningup, Western Australia, Blake's ... Read more

Panel Members

Krey Price

International Water Training Institute

Educated at the University of California at Berkeley, Krey is a civil engineer and project manager with international experience in water resources. He is engaged in computational modelling, engineeri... Read more

Webinar Overview

Join our panel of expert presenters as they discuss the application of AI-powered coding environments to augment and extend HEC-RAS-based workflows, including:

  • Parallel Plan Execution;
  • Plan/Unsteady File Editing;
  • Geospatial Analysis of Gridded Data;
  • Report-Quality Results Visualisation;
  • API Access to Public Climate Data.

 

During this webinar, we also explore the capabilities of ChatGPT’s code interpreter, demonstrating low-friction, python-based data manipulation and analysis which would otherwise be traditionally performed in Excel or specialised applications:

  • Historical Guage Data Analysis;
  • Time Series Statistical Analysis;
  • Calibration Metrics;
  • Hydrological Calculations;
  • HDF Data Extraction and Editing;
  • NetCDF4 Data Visualisation.

 

Readily available python libraries are applied in the serial optimisation coastal boundary condition placement, demonstrating how accessible deep learning tools are in a standard python environment.

 

Prior knowledge of Python and Jupyter notebooks is useful, but not required as the intent of this presentation is to help professionals to start writing code and performing useful tasks with readily available AI tools.

Webinar Outline

Our expert presenters demonstrate:

  • Applying ChatGPTs Code Interpreter to HEC-RAS inputs and outputs;
  • Creating specialised GPTs for repeatable autonomous workflows;
  • Taking the Leap: Running code in a local notebook;
  • Q&A.

Webinar Outcomes

  • Attendees are issued a Certificate of Participation upon completion of the final survey.

 

Refund Policy

Frequently Asked Questions (FAQ)