Noah Gift is the founder of Pragmatic AI Labs, where he creates courses, books, and consulting engagements centered on practical machine learning and cloud computing. His teaching spans some of the most respected graduate programs in the field: the MSDS program at Northwestern, the Duke MIDS Graduate Data Science Program, the Graduate Data Science program at UC Berkeley, the UC Davis Graduate School of Management MSBA program, and the UNC Charlotte Data Science Initiative. There he designs and teaches graduate machine learning, AI, and data science courses and leads a multi-cloud certification initiative for students.

As an author, Noah co-wrote Practical MLOps, a hands-on guide to operationalizing machine learning on modern cloud platforms. His expertise covers the full lifecycle of applied AI: cloud architecture, production ML platforms, MLOps team design, and the engineering habits that turn prototypes into reliable systems. Since 2017 he has also run his own business, and he openly shares what he has learned about solopreneurship, publishing, and building a durable, diversified career in tech.

Across teaching, writing, and consulting, Noah’s focus stays the same: helping engineers and organizations build real, production-grade AI on real cloud infrastructure.