About
Noah Gift is the founder of Pragmatic AI Labs. Noah Gift lectures at MSDS, at Northwestern, Duke MIDS Graduate Data Science Program, and the Graduate Data Science program at UC Berkeley and the UC Davis Graduate School of Management MSBA program, and UNC Charlotte Data Science Initiative. He is teaching and designing graduate machine learning, A.I., Data Science courses, and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities include leading a multi-cloud certification initiative for students.
Noah is a Python Software Foundation Fellow. He currently holds the following industry certifications for AWS: 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. He also is certified on both the Google and Azure platform: 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:
Pragmatic A.I.: An introduction to Cloud-Based Machine Learning (Pearson, 2018)
Python for DevOps (O’Reilly, 2020).
Cloud Computing for Data Analysis
His most recent video courses are:
Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)
AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)
Python for Data Science Complete Video Course Video Training (Pearson, 2019)
AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)
Building A.I. Applications on Google Cloud Platform (Pearson, 2019)
Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)
Data Engineering with Python and AWS Lambda (Pearson, 2019)
His most recent online courses are:
Microservices with this Udacity DevOps Nanodegree (Udacity, 2019)
Command Line Automation in Python (DataCamp, 2019)
AWS Certified Cloud Practitioner 2020-Real World & Pragmatic
You can follow Noah Gift on social media and on the web at:
YouTube Channel: Pragmatic AI Labs
www.noahgift.com
Linkedin: https://www.linkedin.com/in/noahgift/
Pragmatic AI Labs Website: www.paiml.com
Github
Featured Work
Pragmatic AI
Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science.
You can buy a copy on Amazon: https://www.amazon.com/Pragmatic-AI-Introduction-Cloud-Based-Analytics/dp/0134863860
Other Works
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Python for DevOps: Learn Ruthlessly Effective Automation
2020
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Cloud Computing for Data Analysis: A practical guide to Data Science, Machine Learning Engineering and Data Engineering
2020
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Testing in Python
2020
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Python for Unix and Linux System Administration
2008
Awards and Recognition
- Python Software Foundation Fellow
Press and Media Mentions
- Forbes-Why There Will Be No Data Science Job Titles By 2029
- UC Berkeley
- Duke Scholars
- Northwestern
- UC Davis Graduate Business School
- UNC Charlotte School of Data Science
- Strata Data Conference 2019
- Strata Data Conference 2018
- AWS Reinvent 2019
- Increase reliability in data science and machine learning projects with CircleCI
- Oracle: Disruptive Effects of Cloud Native Machine Learning Systems and Tools
- IBM-Explore valuation and attendance using data science and machine learning