Sharpen your Cloud Skills with Carnegie Mellon University and Microsoft Learn

Discover the best practices of implementing Cloud Skills into your courses and learning resource with Lee Stott and Dr Majd Sakr, Carnegie Mellon University.

Hands-on large projects that are immersive students in real-world scenarios which utilize data, infrastructure, and cost management of cloud resources are key learning scenario. Students learn at much faster rate by undertaking Project Based Learning and this method of teaching has several pedagogical benefits. Microsoft Engineers, Data Scientists and Cloud Advocates have been working with the Carnegie Mellon University to further the development of these technologies and further the application of these processes in the academic world. The collaboration has resulted in the Carnegie Mellon University offering dedicated courses on Cloud Developer and Cloud Administration which has led to the development of several Learning Paths on Microsoft Learn.

With the growing interest and need for skilled individuals in cloud, data science and ML/AI, the session will share how Carnegie Mellon can successfully scale an effective training technique to reach a large and wide audience.

Presenter:
Lee Stott, Principal Cloud Advocate, Microsoft

Dr. Majd Sakr, Teaching Professor, Computer Science Department, School of Computer Science, Carnegie Mellon University
Majd F. Sakr is a Teaching Professor in the Computer Science Department within the School of Computer Science at Carnegie Mellon University. He is also the co-director of the Master of Computational Data Science (MCDS) Program at the School of Computer Science at Carnegie Mellon. From 2007-2013, Majd was a Computer Science faculty at Carnegie Mellon University in Qatar (CMUQ), where he also held the positions of Assistant Dean for Research and Coordinator of the Computer Science Program. Majd has extensive teaching experience and number of research publications in relation to the teaching of project-based online courses in cloud computing with over a decade of experience in this field. Majd is presently leading the development of the Sail() Platform at Carnegie Mellon University which focuses on workforce training in cloud, data science and ML/AI.

Marshall An
Marshall An is a Project Scientist in the Computer Science Department within the School of Computer Science at Carnegie Mellon University. He is a computer science and learning science practitioner with years of experience in technology-enhanced learning and educational data mining. Marshall is currently designing and developing both infrastructure and curricula of the Sail() Platform at Carnegie Mellon University to advance workforce training, with a focus on hands-on learning in the areas of cloud computing, data science, machine learning, and artificial intelligence (AI).

David R. Galbreath
David is a graduate of the Carnegie Mellon course and is a AI Cloud Technician Fellow with the AI Task Force, Army Futures Command. He serves as Project Lead for the Army AI Predictive Maintenance (PMx) project and contributing member of the U.S. Army Recruiting Command (USAREC) working group and Project Coeus (developing a scalable, modular, portable, and open AI infrastructure). His area of focus includes the provision, orchestration, scaling, managing, and monitoring cloud services using various cloud interfaces. He has a teaching experience as an Assistant Professor from West Point, NY, focusing on probability, statistics, single variable calculus, and mathematical modelling. He also engages in research in the areas of mathematical modelling and learning science which resulted in multiple journal articles and conference presentations.