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Diploma in Artificial Intelligence

Harness the Potential of Articial Intelligence

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.

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"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.”

Teemu Roos
Associate Professor, University of Helsinki

Benefits

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.

Learn to develop and deploy solutions using Artificial Intelligence
Understand what AI is and how it effects your business
Recognize AI technologies and relevant questions of the field

Contents and Schedule

Diploma in Artificial Intelligence consists of six two day study modules utilizing intensive in-class sessions, case examples and learning by doing. Covered topics include fundamentals of data and AI as well as contemporary AI technologies and applications.

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.

 

For? 

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

  • Programmers and Developers
  • Product Managers
  • Business Development Managers and Directors
  • Deployment Managers
  • Software Architects
  • IT Managers and Directors

 

Modules

Instructors

Teemu Roos

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.

Jorma Laaksonen

Jorma Laaksonen is a Senior University Lecture at the Department of Computer Science, Aalto University. His research interests include content based information retrieval and computer vision.

Laaksonen is responsible for the AI Education program in the Finnish Center for Artificial Intelligence.

Rohit Babbar

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.

Michael Mathioudakis

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.

Antti Ukkonen

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.

Program Fee and Registration

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