Alessandro Golkar
Alessandro Golkar

Lead Instructor

New Space Economy: Technologies, Products, Services, and Business Models

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

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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.
This course is designed to help you learn and apply advanced data tools for IIoT and smart manufacturing. The curriculum ranges from foundational concepts to in-depth, hands-on activities using production data, and covers a variety of cutting-edge approaches such as deep reinforcement learning control, encryption for data outsourcing, and predictive data analytics algorithms.
Tim Kraska
Tim Kraska

Tim Kraska is an Associate Professor of Electrical Engineering and Computer Science in MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), where he co-leads the Data Systems Group. He is also the Founding Co-Director of MIT Data System and AI Lab (DSAIL).

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La prise de décisions dicte l’orientation et le développement de chaque entreprise: ceux qui sont responsables de ces décisions doivent être en mesure de les prendre en toute confiance. Le machine learning devient un outil fondamental pour prendre des décisions éclairées en analysant d'importantes quantités de données et d'événements. Il a pour objectif de réduire les zones d'incertitude et de hasard grâce à l'apprentissage automatique et à une analyse efficace des données. 

Les entreprises sont désormais dépendantes de grands flux d'informations, ce qui accroît de manière exponentielle les besoins de sécurité et de rapidité. Dans notre programme pratique de huit semaines intitulé Cloud & DevOps : Transformation Continue, vous explorerez la vaste transformation technologique qui s'est produite ces dernières années. À travers des études de cas et des exemples concrets, vous découvrirez l'impact de ces technologies sur notre façon de faire des affaires. 

La 5ᵉ génération d'Internet suppose une augmentation du nombre de possibilités offertes par ses applications. La blockchain connecte des systèmes décentralisés dans un format open source, polyvalent et inaltérablement sécurisé, sans dépendre de tiers, afin que chacun puisse directement participer au changement exponentiel en cours. 

Discover Applied AI and Data Science Program: a comprehensive curriculum designed for professionals seeking to excel in data analysis, agentic AI, visualization, and machine learning. Gain hands-on experience & earn a prestigious certificate of completion by MIT Professional Education.
An active area of research, reinforcement learning has already achieved impressive results in solving complex games and a variety of real-world problems. However, organizations that attempt to leverage these strategies often encounter practical industry constraints. In this dynamic course, you will explore the cutting-edge of RL research, and enhance your ability to identify the correct approach for applying advanced frameworks to pressing industry challenges. 
Bruke Kifle - Participating Instructor Image
Bruke Kifle

Bruke Kifle is a computer scientist and product leader passionate about the intersection of Artificial Intelligence, business, ethics and society. His experiences span academia and industry in research, software engineering and product management. He is a socio-technologist motivated by the ability to improve human conditions in low-resource environments through technical solutions. An innovator and educator, Bruke has founded and scaled new initiatives, teaching programs, and research projects both domestically and internationally in countries including Ethiopia, France, Morocco and South Africa. He has also served as a course assistant for several courses taught at MIT.

Bruke is currently an AI Product Manager at Microsoft. He received his Bachelor’s in Computer Science and Management, and Master’s in Electrical Engineering and Computer Science from MIT, where his academic and research interests were broadly in the fields of responsible Artificial Intelligence, algorithms and their applications for social good.

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