Noah Gift

Noah Gift

Cloud-Native Machine Learning & AI

  • @noahgift
  • + Noah Gift

Raleigh, North Carolina

Areas of Expertise:

  • Technical Leadership
  • Machine Learning
  • AI
  • Python
  • Ruby
  • Erlang
  • C#
  • F#
  • JQuery
  • Objective C
  • *NIX
  • Web Applications and Services
  • Film and Television Production and Engineering
  • Cloud Computing
  • SNMP
  • Virtualization
  • Asset Management Systems
  • High Availability Queuing Systems
  • Google App Engine
  • Physical Fitness and Nutrition
  • Data Science
  • Sagemaker
  • Cloud-Native Machine Learning
  • consulting
  • speaking
  • programming
  • training
  • writing

Noah Gift is lecturer and consultant at UC Davis Graduate School of Management MSBA program, the Graduate Data Science program, MSDS, at Northwestern, USF Graduate Health Informatics, and the Graduate Data Science program at UC Berkeley. He teaches and designs graduate machine learning, A.I., Data Science courses, and consults on Machine Learning and Cloud Architecture for students and faculty practicum projects. These responsibilities, including leading a multi-cloud certification initiative for students.  Noah received an MBA from UC Davis, an M.S. in Computer Information Systems from Cal State Los Angeles, and a B.S. in Nutritional Science from Cal Poly San Luis Obispo.

Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect, and AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, AWS Academy Accredited Instructor, AWS Faculty Ambassador, Google Certified Professional Cloud Architect, Certified Microsoft MTA on Python. He has published over 100 technical publications including multiple books on subjects ranging from Cloud Machine Learning to DevOps.  Publications appear in Forbes, IBM, Red Hat, Microsoft, O'Reilly, Pearson, Udacity, Coursera, datascience.com, and DataCamp.  Workshops and Talks around the world for organizations including NASA, PayPal, PyCon, Strata, O'Reilly Software Architecture Conference, and FooCamp. As an SME on Machine Learning for AWS, he helped created the AWS Machine Learning certification.

He has worked in roles ranging from CTO, General Manager, Consulting CTO, Consulting Chief Data Scientist, and Cloud Architect. This experience has been with a wide variety of companies: ABC, Caltech, Sony Imageworks, Disney Feature Animation, Weta Digital, AT&T, Turner Studios, and Linden Lab, and industries:  Television, Film, Games, SaaS, Sports, Telecommunications. He has film credits in many major motion pictures for technical work, including Avatar, Spider-Man 3, and Superman Returns.

He has been responsible for shipping many new products at multiple companies that generated millions of dollars of revenue and had a global scale. Currently, he is consulting startups and other companies, on Machine Learning, Cloud Architecture, and CTO level consulting as the founder of Pragmatic A.I. Labs.

His most recent books are:

His most recent video courses are:

His most recent online courses are:

Python for DevOps Python for DevOps
by Kennedy Behrman, Alfredo Deza, Noah Gift, Grig Gheorghiu
August 2019
Ebook: $50.99

Python for Unix and Linux System Administration Python for Unix and Linux System Administration
by Noah Gift, Jeremy Jones
August 2008
OUT OF PRINT

"Perfect for Unix and Linux programmers and collections catering to them."
--Diane C. Donovan, California Bookwatch: The Computer Shelf

"...a very helpful digest of many answers to common problems often encountered by sysadmins. The great benefit of all of their solutions is that they harness the power of Python to perform critical, complex tasks very easily and consistently. Like Thanos Vassilakis, a programmer for NYSE, if you know a sysadmin who spends too much time at work, chances are they could use Python and this book to reclaim their personal life. "
--Al Lukaszewski, About.com

"This fabulous book will help you to read text files and extract information, run tasks using threading and forking options, get clickable GUI utilities, monitor large clusters of machines by interacting with SNMP programmatically, master the IPython shell...and much more."
--Nadia Russ, Wonderpedia

"If you are a Python advocate who is also responsible on occasion with managing your home or company computers, the book provides enough ideas and enthusiasm to jumpstart that currently manual system administrator task that begs to be automated."
--Mike Riley, Dr. Dobb's CodeTalk

"If you are an administrator, project organizeer or data monkey (a term for system admins who push files in a digital video shop) you should check out this book. "
--Lee McKusick, Peninsula Linux Users' Group