The program is targeted for business and technology developers who need both practical skills and in-depth understanding in utilizing AI technologies. The program is suitable for Programmers and Developers, Product Managers, Business Development Managers and Directors, Deployment Managers and Software Architects.
What we all need to know about Artificial Intelligence? Read here
- 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
- Build competencies for the future
- Create new business solutions based on AI
- Streamline and automate your processes with AI solutions
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 and Yle.
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.PLACE AND TIME
The program starts in December 2018 and runs until May 2019.
The program will be held in Helsinki, Finland at the Aalto University Executive Education and University of Helsinki premises.MODULES
10.-11.12.2018: What is Artificial Intelligence?
Responsible person: Teemu Roos
More information about the module coming soon.10.-11.1.2019 Data and AI
- Basics of AI
- Methods and Application Areas
Responsible person: Antti Ukkonen
- Introduction to Data Science
- Data Management
- Analysis Methods and Visualization
Data are the cornerstone of most practical machine learning applications. Getting acquainted with your data is thus one of the most (if not the most) important first steps when building AI systems. The main objective of this module is to give participants a good understanding of what “data” is, how to think statistically, as well as interpret basic statistical quantities and visualisations computed from data. We will also discuss what type of storage solutions facilitate the development of machine learning applications, and how data should be handled within an organization to leverage its full potential. Gaining “data literacy” is the main learning outcome of this module.
After completing this module, each participant will be able to
AI Methods (February 2019)
- think statistically (based on data) about decision problems,
- interpret basic aggregate statistics of data and understand their differences and pitfalls,
- read and understand basic scientific visualisations of data,
- explain differences between various data storage solutions from the perspective of machine learning,
- explain the basic principles of how data is used in machine learning.
More information about the module coming soon.18.-19.3.2019: AI Applications
- Machine Learning
- Neural Networks
- Probabilistic Models
Instructors: Michael Mathioudakis and Rohit Babbar
More information about the module coming soon.AI Programming (April 2019)
- Information Retrieval
More information about the module coming soon.AI in Business (April 2019)
- Participants select either AI Programming or AI in Business
- Programming AI solutions with Python
More information about the module coming soon.End module (May 2019)More information about the module coming soon.
- Participants select either AI in Business or AI Programming
- Designing AI solutions
- Case examples
Teemu Roos, Associate Professor, University of Helsinki
Teemu Roos leads the Information, Complexity and Learning research group and is responsible for the AI Education program in the Finnish Center for Artificial Intelligence. Jorma Laaksonen, Senior University Lecturer, Aalto University
Jorma Laaksonen's 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.
Antti Ukkonen, Academy Research Fellow at the Department of Computer Science, University of Helsinki.
Antti Ukkonen 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.Michael Mathioudakis, Assistant Professor at the Department of Computer Science, University of Helsinki.
Michael Mathioudakis 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. Professor Mathioudakis received a PhD in computer Science from the University of Toronto in 2013.Rohit Babbar, Assistant Professor at the Department of Computer Science, Aalto University
Robit Babbara's research interests include shallow and deep models for large-scale AI systems. REGISTRATION
Register at www.aaltopro.fi/aidiploma
Please note that the program fee does not include travel expenses or accommodation. VAT is applicable to private persons and Finnish companies.CANCELLATION POLICY
Unless stated otherwise, the program is invoiced in one installment before the start. Cancellation fee is 20% of the program fee for cancellations made 15–21 days before the start of the program, and 50% of the program fee for cancellations made 8–14 days before the start of the program. There is no refund for cancellations made within 7 days of the start of the program or not made at all.The program is a joint effort of Aalto PRO, University of Helsinki HY+ and Finnish Center for Artificial Intelligence FCAI.