Noah Gift is a distinguished technology leader and founder of Pragmatic AI Labs with a remarkable 30-year career spanning film, TV, telecom, social networks, startups, and big data, currently serving as an Executive-in-Residence at Duke University. As an AWS ML Hero and Python Software Foundation Fellow, he has authored best-selling books through O'Reilly and Pearson on DevOps, MLOps, data engineering, and cloud computing that are widely adopted by major universities. His expertise in MLOps, data engineering, cloud architecture, and Rust programming has led him to teach thousands of students across prestigious institutions including Duke, Northwestern, UC Berkeley, University of San Francisco, and UC Davis, while also collaborating with Caltech and JPL on automated IT systems. Gift's impact extends beyond academia through his work as a startup CTO, his role in developing scalable distributed systems, and his contributions as a keynote speaker at conferences focused on cloud development and ethical AI use, holding certifications from AWS, Google, and Microsoft, and having published over 100 technical works while conducting workshops for organizations like NASA, PayPal, and PyCon.

Alfredo Deza embodies a unique combination of athletic excellence and technological expertise, transitioning from a distinguished career as Peru's first World Junior Champion in high jump and 2004 Olympian to becoming a leading voice in technology education and development. Currently serving as a Principal Cloud Advocate at Microsoft and Adjunct Assistant Professor at Duke University's Pratt School of Engineering, Deza has built an impressive career spanning nearly two decades in software engineering and education. His academic contributions extend through guest lectures at prestigious institutions including Oxford University, Georgia Tech, and Carnegie Mellon University, where he shares expertise in machine learning, cloud computing, and programming languages. As an accomplished author, he has co-authored several influential books with O'Reilly Media, including "Practical MLOps" and "Python for DevOps," while developing comprehensive courses on Coursera covering topics from large language models to Rust programming. His teaching portfolio at Duke includes graduate-level courses in machine learning operations and Python programming, reflecting his commitment to making complex technical concepts accessible. Deza's expertise encompasses a broad spectrum of technologies, including Azure, MLOps, DevOps, Python, Rust, and Databricks, which he leverages to bridge the gap between academic theory and industry practice. His unique perspective, shaped by his background as an Olympic athlete, influences his approach to teaching and technology, emphasizing the importance of continuous learning and knowledge sharing in the rapidly evolving field of artificial intelligence and cloud computing.

Kennedy Behrman is a distinguished data engineering expert and educator who currently serves as a Senior Data Engineer at Envestnet, Inc. His extensive career spans data engineering, cloud solutions, and machine learning, backed by both undergraduate and graduate degrees from the University of Pennsylvania. As an accomplished author, he has written several influential books including "Foundational Python for Data Science" and co-authored "Python for DevOps" with O'Reilly Media. His educational impact extends through his role as an instructor for multiple prestigious courses, including the "Applied Python Data Engineering Specialization" and "Python, Bash and SQL Essentials for Data Engineering Specialization" which have reached over 21,000 students combined. Previously, he founded Pragmatic AI Labs, providing pragmatic cloud solutions for AI requirements, and held leadership positions including CTO and VP Engineering at Sqor Sports where he led engineering, product, and design teams. His technical expertise encompasses Python, data engineering, AWS solutions, and machine learning, with particular focus on developing scalable data pipelines and implementing cloud-based solutions. Behrman's influence in the field is further demonstrated through his contributions to various platforms, including the development of AWS machine learning certification tests and his role in creating comprehensive educational content for data science and engineering professionals.