Data, Analytics, and AI for Professionals Program
Building Expertise and In-Depth Understanding in Leveraging Data and AI-Driven Solutions
Do you want to sharpen your skills in advancing data utilization and AI initiatives? How can your organization stay ahead by effectively using data and AI? What are the current AI technologies, and how can they be developed and deployed for impact?
The Data, Analytics, and AI for Professionals (DAAP) program offers you possibilities for understanding and solving business opportunities and challenges related to AI as well as for utilizing and developing AI services. The training program has been designed to help organizations and individuals adopt – understand, select, use, apply, and develop – new technologies and tools.
We gathered together our best training programs and instructors focusing on data, analytics, and AI and created a program supporting life-wide learning and a flexible learning path.
The modular structure of the DAAP program allows participants to study interesting topics at their own pace. The whole program consists of four modules, which can be taken also individually.
18 ECTS credits can be transferred from this program to the Aalto Executive MBA or Aalto MBA program.
The program is offered in cooperation with the Finnish Center for Artificial Intelligence (FCAI).
Flexible Learning
Introduction to AI and Data
Module 1 / 3 days
AI Methods and Applications
Module 2 / 3 days
Real-World Impact of AI Applications
Module 3 / 3 days
Future Considerations of AI
Module 4 / 3 days
The DAAP program is taught by leading instructors and experts from Aalto University, the University of Helsinki, the Finnish Center for Artificial Intelligence (FCAI), and the most advanced companies in the field.
We have gathered together our comprehensive experience and the best trainers and content from our popular data, analytics, and AI programs such as the Diploma in Artificial Intelligence. The program combines the latest research knowledge and applied learning through different real-life examples and practical assignments.
Build your personalized learning path and complete your studies at your own pace. We offer interesting modules that help you deepen your knowledge of AI. The module selection is updated continuously.
Benefits
The program builds competencies for the future. You can select from four individual modules that each focus on different aspects of AI, data, and analytics. Our top-class instructors guarantee an impactful learning experience that you and your organization will benefit from.
For
The program is suitable for anyone who needs deep understanding and skills to apply data analytics and AI technology.
The program is well-suited, for example, for
- IT specialists, managers, and directors;
- analysts;
- business development leaders and managers;
- HR professionals;
- product managers;
- cloud engineers;
- programmers and developers; and
- engineers from different fields.
Contents
The modules of the Data, Analytics and AI for Professionals program can be completed as standalone programs. You can study modules flexibly and complete the number of modules you need.
We offer four modules that each consist of three study days. The studies include both intensive contact teaching and practical case examples. The topics include generative AI, data strategy, AI technologies and applications, and ethical questions related to data and AI.
Independent assignments complement the studies and allow you to apply your learning in practice.
Schedule
The Data, Analytics, and AI for Professionals (DAAP) studies can be completed in about six months or over a longer period of time. Participants can complete all four modules or just the modules they need.
Each module can be taken separately and completed as a standalone program. However, we highly recommend that participants take the modules in order.
Modules
Instructors
Antti Ukkonen
Antti Ukkonen is a computer scientist and educator with 20+ years of R&D experience from both private and public sector organisations.
At present Antti is an independent consultant advising companies with AI projects. Previously he was the Chief Product Officer at Speechly, a venture funded startup acquired by Roblox Inc in September 2023. Prior to this he was an Academy Research Fellow at University of Helsinki. He has also worked at the Finnish Institute for Occupational Health, Aalto university, as well as Yahoo! Research. Antti holds a doctoral degree from Aalto university (2008), and is an Adjunct Professor of Data Science at University of Helsinki, Department of Computer Science.
Laura Ruotsalainen
Laura Ruotsalainen is an Associate Professor of Spatiotemporal Data Analysis for Sustainability Science at the Department of Computer Science at the University of Helsinki.
Her current research interests include the development of computer vision, estimation and machine learning algorithms for creating and using accurate and reliable spatiotemporal data, namely navigation data, especially for the development of autonomous systems enabling sustainable smart cities. For years, she has been teaching courses and supervising research on navigation at the Aalto University and the University of Helsinki and more recently also a course on Computer Vision at the University of Helsinki.
Marko Turpeinen
Marko Turpeinen is an Adjunct Professor at Aalto University.
Turpeinen is also the founder and CEO of a data-sharing company called 1001 Lakes.
He was previously the Finnish Node Director of EIT Digital, a Knowledge and Innovation Community of the European Institute of Innovation and Technology and a Professor in Media Technology at The Royal Institute of Technology (KTH) in Stockholm. He has extensive industrial experience in the media industry, as between 1996 and 2005 he worked in various executive positions at Alma Media Corporation, a Finnish media company.
His current academic research addresses issues in customized media content, a human-centric approach to personal data, and the role of AI and algorithmic power in networked society. He has a Doctor of Technology Degree in Computer Science from Helsinki University of Technology (now Aalto University) and a Master of Science Degree in Media Arts and Sciences from Massachusetts Institute of Technology (MIT).
Teemu Roos
Teemu Roos is a 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.
Program Fee and Registration
Data, Analytics, and AI for Professionals (DAAP) program fees:
- 1 module: € 3,300 € (+ VAT)
- 2 modules: € 5,700 (+ VAT)
- 3 modules: € 7,950 (+ VAT)
- 4 modules: € 9,950 (+VAT)
Data, Analytics, and AI for Professionals (DAAP) Modules
You can choose to take the full DAAP program, including all four core modules, or register for individual stand-alone DAAP modules.
