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Once you have created your model or analyses, the next step is to formalize it in a way that is accessible to others. Whether your goal is an API endpoint or a fully functional dashboard connected to a live data stream, this course will set you up to confidently deliver and manage your algorithm.

This advanced data engineering course teaches the technologies:

  • Flask
  • Docker
  • Plotly-Dash
  • Redis
  • Azure App Service

We also focus on core software development practices such as:

  • Test-driven development
  • Continuous integration

 

Quick Facts

Dates: Spring 5/23/2022 – 6/2/2022

Days: Monday – Thursday

Time: 4:00p.m. – 6:30p.m. PT

Format: Online instruction

      Cost: $1250

      Prerequisites: Python Foundations

      or equivalent

 

 

 

Meet the Instructor

Dr. Beckner is a GIX faculty member, an instructor for the University of Washington MS in Technology Innovation, a Data Science Advisor for the Pfaendtner Research Group, and partner at MFG Analytic, where he works with manufacturing clients to optimize their production processes using cloud-based tools. He received his Ph.D. in Chemical Engineering Data Science from the University of Washington and his B.S. in Chemical Engineering from the University of Texas at Austin. His consulting work inspired him to help organizations streamline their workflows and increase profit margins by training in-house employees to better understand and use data. Read his full biography here.

Instructor’s Take: You would like to see your machine learning algorithm become a full-fledged application. What few people know is that it does not take a full-stack development team to do this. I love this course because it teaches you how to build applications yourself, without needing to learn multiple new languages or background material.

For me personally, learning how to productionize code in this course was a big help to my software dev skills. Stuff not traditionally taught in intro CS/DS/ML courses, but are super important in industry.

Jonathan, Past Participant

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