Unlock the Power of Artificial Intelligence
, Annamari Typpö
Artificial Intelligence brings rapid changes to all sectors of society opening opportunities and needs for new solutions. To succeed in the competition organizations and individuals need new technological skills as well as a clear understanding of the big picture of AI. What is AI, what are the current AI technologies and how can they be developed and deployed?
Diploma in Artificial Intelligence gives you in-depth understanding of the topic and helps you to understand and apply contemporary AI technologies.
The program utilizes the experts in the field and it is a joint effort of Aalto PRO, University of Helsinki HY+ and Finnish Center for Artificial Intelligence FCAI.
"Artificial Intelligence is not a futuristic dream. It shapes our world at an unprecedented pace. This program is a deep dive into the latest trends of AI.”
Associate Professor, University of Helsinki
The program builds competencies for the future. After the program you know how to create new business solutions based on AI, and Streamline and automate your processes with AI solutions.
The program is targeted at business and technology developers who need both practical skills and in-depth understanding in order to utilize artificial intelligence technologies.
The program is suitable for
IT Managers and Directors
Diploma in Artificial Intelligence consists of six two-day study modules utilizing intensive in-class sessions and learning by doing. Covered topics include fundamentals of data and AI as well as contemporary AI technologies and applications. You will also hear practical case examples from companies like OP, Yle, Stora Enso and Fourkind.
The study modules are complemented by individual exercises and project work, which enables you to apply the acquired skills into your daily work right away. In the last part of the program participants can select between a technical study track requiring programming skills or a business study track focusing on business applications.
Teemu Roos is an Associate Professor at the Department of Computer Science, University of Helsinki.
Roos' research interests include the theory and applications of artificial intelligence, machine learning, and data science. He also teaches introductory courses on these topics with a total of up to 500 students annually. He has developed applications of AI in areas such as mobile computing, genomics, epidemiology, quantum physics, and digital humanities.
Teemu Roos received a Ph.D. in computer science from the University of Helsinki in 2007.
Rohit Babbar is an Assistant Professor at the Department of Computer Science, Aalto University.
His research interests include shallow and deep models for large-scale AI systems.
Jaakko Hollmén is Chief Research Scientist at the School of Science and Technology at Aalto University. Hollmén’s research focuses on machine learning, data mining, and artificial intelligence. He has a special interest in predictive analytics.
Hollmén has more than 20 years experience in data analytics, both in manufacturing industry and university research. He is a founding member of Northlet Ltd., which offers analytics services and consulting for companies aiming to improve their usage of analytical tools. In 2017, Hollmén was a key organizer of ECML-PKDD 2017 – the biggest conference in machine learning and data mining in Europe.
Alex Jung is Assistant Professor for Machine Learning within the Department of Computer Science at Aalto University.
He heads the research group "Machine Learning for Big Data" which studies fundamental limits and efficient algorithm for machine learning problems involving massive datasets. Jung is teaching the main courses at Aalto University on machine learning and artificial intelligence. The recent edition of Artificial Intelligence and Machine Learning: Basic Principles have attracted around 500 and 900 students, respectively.
Kimmo Karhu is a Postdoctoral Researcher at Aalto University Department of Computer Science and a Platform Strategy Consultant at Fourkind.
Karhu is an expert on platform business models and a seasoned teacher on digital strategy. By combining hands-on industry experience with academic thinking, he seeks to explain how AI, machine learning, and other technologies can be leveraged for scaling platform business. Karhu's recent doctoral thesis analyses open platform strategizing and digital tactics in mobile ecosystems.
Michael Mathioudakis is an Assistant Professor at the Department of Computer Science, University of Helsinki.
His research interests include web mining, data science, and optimized data processing. He also teaches postgraduate courses on computational social science, network analysis, and data management.
Prof. Mathioudakis received a PhD in computer Science from the University of Toronto in 2013.
Henri Schildt is a tenured professor with a joint appointment at the Aalto University School of Business (Management & Organizations) and the School of Science’s Department of Industrial Engineering and Management.
His research interests span technology strategy, organizational change, and strategy process (with specific interest in reasoning under uncertainty and the use of data analytics). He is currently heading two research programmes on data-driven management and the management of digitalization in Finnish manufacturing companies. Henri Schildt completed his PhD at Helsinki University of Technology in 2007.
Mats Sjöberg is a Machine learning specialist at CSC - IT Center for Science, where he works with the machine learning environments on Finland's fastest supercomputers.
He holds a PhD in computer science from Aalto University. His scientific interests are in machine learning and computer vision, in particular deep learning methods for understanding and describing image and video content.
Antti Ukkonen is an Academy Research Fellow at the Department of Computer Science, University of Helsinki. He has 15 years of experience in research and development of data analysis algorithms.
Prior to joining UoH, Antti has worked as a data scientist at Yahoo! Research, Helsinki Institute for Information Technology HIIT, and Finnish Institute of Occupational Health. He has published over 40 scientific articles in international journals and conferences on the topics of data mining, machine learning, and algorithms. He obtained his doctoral degree from Helsinki University of Technology in 2008.