Reinforcement learning (RL), is enabling exciting advancements in self-driving vehicles, natural language processing, automated supply chain management, financial investment software, and more. In this three-day course, you will acquire the theoretical frameworks and practical tools you need to use RL to solve big problems for your organization
George Westerman
Dr. George Westerman is a world-recognized thought leader in leading transformation and competitive advantage through technological innovation. He works at the intersection of executive leadership and digital innovation to provide continuous valuable insights to leaders in all industries.
A steady rise in the application of exponential technologies, primarily artificial intelligence and machine learning, has necessitated a deep understanding of and broad capabilities for driving business growth for business leaders and managers in an evolving global economy. The AI and ML: Leading Business Growth program is a unique opportunity to explore and excel at a global level, with a no-code approach, and the knowledge, tools and best practices needed to drive strategic business growth powered by AI and ML.
MIT Prof. Jinhua Zhao will be delivering this 2-day course in Tokyo, Japan. This course will focus on two forces driving the future of urban mobility: behavior and computation. We use a behavioral lens to examine mobility technologies such as automation, connectivity, sharing, and electrification, and demonstrate the power of integrating behavioral and computational thinking. We observe that travel behavior is emotional, social, and perceptual, and mobility service can be predictive, individualized, experimental, and multimodal.
MIT Professional Education is pleased to offer the Professional Certificate Program in Machine Learning & Artificial Intelligence. MIT has played a leading role in the rise of AI and the new category of jobs it is creating across the world economy. Our goal is to ensure businesses and individuals have the education and training necessary to succeed in the AI-powered future. This certificate guides participants through the latest advancements and technical approaches in artificial intelligence technologies such as natural language processing, predictive analytics, deep learning, and algorithmic methods to further your knowledge of this ever-evolving industry.
En la era de la transformación digital, tecnologías como blockchain, Internet de las Cosas (IoT) e Inteligencia Artificial (IA) están produciendo cambios significativos en las organizaciones y en su gestión.
Para que las organizaciones de alto nivel prosperen, se necesitan profesionales contrastados que entiendan el impacto de nuevas tecnologías en la estrategia corporativa y competitiva, y sean capaces de diseñar y ejecutar estrategias que gestionen estas tecnologías de manera proactiva.
New technologies and technological change are changing the rules of everything: business models, processes, people management, products, production, and services.
It is therefore critical to stay ahead of technology trends and be able to anticipate disruptions, which explains the growing importance of the figure of the Chief Technology Officer across all industries: the person responsible for keeping the company ahead of the technology curve, anticipating technological trends and turning them into a competitive advantage for the organization.
This program is designed to prepare senior managers that want to ascend to the position of Chief Technology Officer.
Tommi S. Jaakkola
Tommi Jaakkola is a Thomas Siebel Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society. He is also a member of the Computer Science and Artificial Intelligence Laboratory. His work pertains to inferential, algorithmic and estimation questions in machine learning, including large scale probabilistic distributed inference, deep learning, and causal inference.
Alessandro Golkar
Dr. Alessandro Golkar is the author of 44 publications and serves as a technical referee for the AIAA Journal of Spacecraft and Rockets, the AIAA Journal of Aerospace Information Systems, INCOSE Systems Engineering Journal, Acta Astronautica, the IEEE Transactions on Aerospace and Electronic Systems, and as the guest editor for the 2015 Special Issue on Federated and Fractionated Satellite Systems hosted by the AIAA Journal of Aerospace Information Systems (JAIS). He holds a PhD in Aeronautics and Astronautics from Massachusetts Institute of Technology (MIT) and has master’s and undergraduate degrees in Astronautical and Aerospace Engineering from Sapienza University of Rome.
“The whole set of activities not only look at ‘space for space’, that is the creation of knowledge of our Universe and advancing science for the benefit of humanity, but also and primarily at ‘space for Earth’, delivering services with direct impact to businesses and people.” - Prof. Alessandro Golkar
MIT Professional Education’s No Code AI and Machine Learning: Building Data Science Solutions Program, with a curriculum developed and taught by MIT faculty, can help you craft effective business solutions without writing a single line of code.