Noah Gift is lecturer and consultant at UC Davis Graduate School of Management MSBA program the Graduate Data Science program, MSDS, at Northwestern and the Graduate Data Science program at UC Berkeley. He is teaching and designing graduate machine learning, AI, Data Science courses and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities including leading a multi-cloud certification initiative for students. He has published close to 100 technical publications including two books on subjects ranging from Cloud Machine Learning to DevOps. Gift 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, Google Certified Professional Cloud Architect, Microsoft MTA on Python, He has published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Machine Learning, and Computer Vision. He writes and publishes content for publications including Forbes, IBM, Red Hat, Microsoft, O’Reilly, and Pearson. Workshops and Talks have been given around the world for organizations including NASA, PayPal, PyCon, Strata, 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 Scientists, and Cloud Architect. This experience has been with a wide variety of companies including ABC, Caltech, Sony Imageworks, Disney Feature Animation, Weta Digital, AT&T, Turner Studios and Linden Lab. In the last ten years, 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 AI Labs.
His most recent book is Pragmatic AI: An introduction to Cloud-Based Machine Learning (Pearson, 2018). His most recent video series is Essential Machine Learning and AI with Python and Jupyter Notebook LiveLessons. It is available on Safari Online. A 12-hour live lesson on Essential Machine Learning and Pragmatic AI can be viewed on Safari Online. A six-hour video is also available on AWS Machine Learning certification. A seven-hour video on Python for Data Science is available on Safari Online, this teaches a non-programmer the skills necessary to do Data Science with the Python language.