Noah Gift is a lecturer at the UC Davis Graduate School of Management, MSBA program, the Graduate Data Science program, MSDS, at Northwestern and the Graduate Information and Data Science Program at UC Berkeley. He is teaching and designing graduate machine learning, AI, Data Science, and Cloud Architecture courses. These responsibilities include leading a multi-cloud certification initiative for students.
Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect, AWS Certified Big Data-Specialist, AWS Certified Machine Learning-Specialist, AWS Academy Accredited Instructor, Google Certified Professional Cloud Architect, and a Microsoft MTA on Python. Noah was selected to the SME Machine Learning team due to accomplishments in the area of Machine Learning on the AWS platform. 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. 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).
Christopher Brousseau is a senior executive with demonstrated success in consulting, business operations, cloud-based machine learning, artificial intelligence product development, and data science services. Chris received his B.S. in Mechanical Engineering from Boston University and has published five business white papers in the supply chain space. Founder and CEO of Surface Owl, Inc., an AI-powered visual decision engine to improve enterprise operations, he is an AWS Certified Big Data-Specialist and invited speaker at regional Python events and user groups, including PyBay and BayPiggies. Chris is also a Founder of Pragmatic AI Labs.
Robert Jordan is a visionary architect with more than 20 years designing, implementing, and deploying production applications for some of the world’s largest media and scientific customers. Notably, he helped design and build a Big Data pipeline for a Disney-funded startup in the Bay Area. He has successfully led projects on all major cloud platforms: Azure, AWS, and GCP. He is an AWS Certified Solutions Architect, AWS Certified Big Data-Specialist, and Google Certified Professional Architect. He currently performs consulting as a Founder of Pragmatic AI Labs. He is the coauthor of a Python DevOps book by O’Reilly and a presenter at the O’Reilly Software Architecture conference.