In order to keep your company at the cutting edge of technology, you need to think like a software company. That's where DevOps comes in. With this course, you will learn the key attributes of software development methodology and how to apply these methods in a way that aligns with your most important business objectives. These attributes include: continuous development, continuous delivery, theory of constraints, value streams, telemetry, A/B testing, information security, change management, and compliance.
Lead Instructor
Devavrat Shah is a professor with the department of electrical engineering and computer science, MIT. He is a member of the Laboratory for Information and Decision Systems (LIDS) and Operations Research Center (ORC), and the Director of the Statistics and Data Science Center (SDSC) in IDSS. His research focus is on theory of large complex networks, which includes network algorithms, stochastic networks, network information theory and large-scale statistical inference.
Carlo Ratti is a Professor of Urban Technologies and Planning Director of the MIT SENSEable City Lab. In the last decade, Carlo has given talks around the world on the theme of Smart Cities, while his work has been exhibited in international venues including the Venice Biennale, New York’s MoMA, London’s Science Museum and Barcelona’s Design Museum.
Bernhardt L. Trout is the Raymond F. Baddour, ScD, (1949) Professor of Chemical Engineering at MIT. He received his S.B. and S.M. degrees from MIT and his Ph.D. from the University of California at Berkeley. In addition, he performed post-doctoral research at the Max-Planck Institute.
David Sontag joined the MIT faculty in 2017 as Hermann L. F. von Helmholtz Career Development Professor in the Institute for Medical Engineering and Science (IMES) and as Associate Professor in the Department of Electrical Engineering and Computer Science (EECS). He is also a principal investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL). Professor Sontag’s research interests are in machine learning and artificial intelligence.
Ralph Morelli is a professor of computer science at Trinity College. He is currently the Principal Investigator of the Mobile CSP project, an NSF-funded effort to train high school teachers in Connecticut and elsewhere to teach the emerging Advanced Placement CS Principles course that is being created by the College Board.
Professor Suvrit Sra is an Associate Professor in the EECS department at MIT. He is also a core faculty member of the Institute for Data Systems and Society (IDSS) and PI in the Laboratory for Information and Decision Systems (LIDS).
Professor Justin Solomon is an Associate Professor of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, where he leads the Geometric Data Processing Group. His textbook, Numerical Algorithms, covers numerical methods for geometry, graphics, robotics, and other computational applications.
Phillip Isola is an assistant professor in the MIT Department of Electrical Engineering and Computer Science. He studies visual intelligence from the perspective of both minds and machines. He received a National Science Foundation (NSF) graduate fellowship as well as an NSF postdoctoral fellowship.
Antonio Torralba is a Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT), the MIT director of the MIT-IBM Watson AI Lab, and the inaugural director of the MIT Quest for Intelligence, a MIT campus-wide initiative to discover the foundations of intelligence.