Enrollment
Two Weeks before Start
Delivery mode
Onsite
From 1 to 4 modules
Frequency
Location
Aalto University Töölö, Helsinki, Finland
Language
English
Scope
3 days
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 a solid foundation for understanding and addressing business opportunities and challenges related to AI and data analytics. It supports organizations and individuals in adopting and applying new technologies by providing the skills needed to assess, select, and develop AI-driven solutions.
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).
Start
Fee:
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)
Flexible Learning

AI and Data
Module / 3 days

AI Methods and Applications
Module / 3 days

Real-World Impact of AI Applications
Module / 3 days

Future Considerations of AI
Module / 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
AI and Data
Schedule
May 5–7, 2025
Location
Aalto University Töölö, Helsinki
Instructors
Teemu Roos, Antti Ukkonen, Marko Turpeinen
Content
- Core concepts and terminology relating to AI, Machine Learning, Data, and Analytics
- Key AI methods and examples
- Foundations of data science, statistical thinking, and data visualization
- Data and AI strategy
- Data sharing and fair data economy
- How to develop data and AI competencies in organizations, what technologies and methods are available, and how to choose the right ones.
Learning Objectives
- Understand the core concepts of data analytics and AI and learn to communicate and discuss challenges and solutions related to them with internal and external stakeholders.
- Be able to develop practices and capabilities related to data and analytics in your organization.
- Understand the necessary principles of data quality, analytical methods, and statistics.
- Understand what data strategy is and what its overall impacts are on organizations. Help your organization develop its data strategy.
- Understand the most common technical and cultural challenges related to data sharing and different solutions for them.
AI Methods and Applications
Schedule
June 2–4, 2025
Location
Aalto University Töölö, Helsinki
Instructors
Arno Solin, Marko Turpeinen, and Antti Ukkonen
Content
- Basic elements of machine learning and subcategories: unsupervised learning, supervised learning, reinforcement learning
- Computer vision, classical methods, and deep vision
- AI applications and examples
- Personalization technologies and recommendation systems
- Descriptive and predictive analytics
- Opportunities related to Generative AI
- Demo of commercial software
- Demo of an open-source program with Python (no coding skills required)
Learning Objectives
- Understand the role of data, analytics, and AI, how they can be used to strengthen and improve organizational practices and business operations, and the impacts of technology choices.
- Grasp the practical applications of data and analytics, particularly in computer vision, online learning, and generative AI, and their role in fostering new business initiatives. You'll understand how these technologies can be leveraged for organizational efficiency, innovation, and competitive advantage.
- Deepen your competence to recognize the challenges and opportunities in which analytical approaches can be used. Learn to suggest and carry out more broad and profound comparisons of the types of technologies that would be suitable for different challenges.
- Acquire an understanding of advanced AI methods, their strategic importance, and their practical implementation in business contexts. Gain insights into how these methods can integrate with your organization's data strategy and navigate common challenges in execution and deployment.
We recommend that participants take the first module, Introduction to AI and Data, before the AI Methods and Applications module.
Real-World Impact of AI Applications
Schedule
September 29 – October 1, 2025
Location
Aalto University Töölö, Helsinki
Instructors
Laura Ruotsalainen and Jukka Nurminen
Content
- The interaction of AI systems with the real world and society
- Generative AI and security of AI systems
- Safety of AI systems
- AI and Ethics
- AI for Sustainability
- Sustainability challenges of AI
- Testing and maintaining AI systems, MLOPS
- Open data and open source
- Continual development of AI systems
- Privacy, GDPR in AI, and EU’s AI Act
Learning Objectives
- Recognize the possible ethical challenges and challenges related to data protection and be aware of different solutions
- Understand the opportunities related to utilizing open data and open-source code
- Understand the EU AI Act
- Understand the challenges related to the continuous development of artificial intelligence systems
Future Considerations of AI
Schedule
November 24–26, 2025
Location
Aalto University Töölö, Helsinki
Module content varies based on the most current and relevant themes and phenomena, such as:
AI Agents
- Automation, autonomy and decision-making
- Integration of agents, LLMs and other IT tools
- Safety, security and regulation
- Industry impacts
Explainable AI (XAI)
- Techniques for interpreting and understanding AI models
- Importance of transparency and accountability in AI systems
- Applications of XAI in healthcare, finance, and other critical domains
Quantum Machine Learning
- Introduction to quantum computing and its potential for AI
- Quantum algorithms for machine learning tasks
- Challenges and opportunities in quantum machine learning
Edge AI and Internet of Things (IoT)
- Introduction to edge computing and its applications
- Integrating AI with IoT devices
- Challenges and opportunities in edge AI
Instructors

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.

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).

Antti Ukkonen
Antti Ukkonen is a computer scientist and educator with 20+ years of R&D experience from both private and public sector organizations.
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.

Jukka K. Nurminen
Jukka K. Nurminen is a Professor of Computer Science at the University of Helsinki.
He has worked extensively on software research in the telecom industry at Nokia Research Center, in academia at Aalto University, and in applied research at VTT. His key research contributions are on energy-efficient software, mobile peer-to-peer networking, and cloud solutions but his experience ranges widely from applied optimization to AI, from network planning tools to mobile apps, and from software project management to tens of patented inventions. He received his MSc degree in 1986 and PhD degree in 2003 from Helsinki University of Technology (now Aalto University) in applied mathematics. Currently, his main interests are in the engineering of machine learning systems, fair and reliable operation of AI, and software development for quantum computers.
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.
May 5–7, 2025

The AI and Data module offers you a foundational understanding of data analytics, AI, data quality, and data strategies while developing the ability to address related challenges and solutions with stakeholders. You will learn to enhance organizational practices, build data capabilities, and navigate technical and cultural barriers to data sharing effectively.
Fee: € 3,300 (+ VAT)
June 2–4, 2025

Schedule June 2–4, 2025
Location Aalto University Töölö, Helsinki, Finland
AI Methods and Applications module will increase your understanding of how data, analytics, and AI can enhance organizational practices, drive innovation, and support strategic decision-making. You will gain practical knowledge of advanced AI methods, including their applications, implementation, and the ability to address challenges while fostering efficiency and competitive advantage.
Fee: € 3,300 (+ VAT)
September 29 – October 1, 2025

Schedule September 29 – October 1, 2025
Location Aalto University Töölö, Helsinki, Finland
Real-World Impact of AI Applications module explores the interaction of AI systems with society, focusing on sustainability, security, and data privacy. You will gain insights into addressing challenges in AI development, including ethical concerns, data protection, and continuous improvement, while leveraging opportunities with open data and open-source solutions.
Fee: € 3,300 (+ VAT)
November 24–26, 2025

Schedule November 24–26, 2025
Location Aalto University Töölö, Helsinki, Finland
Future Considerations of AI module delves into cutting-edge topics based on the most current and relevant themes and phenomena, such as AI agents, explainable AI, quantum machine learning, and edge AI, emphasizing their applications, challenges, and transformative potential. You will gain a deep understanding of integrating technologies such as IoT and quantum computing while prioritizing transparency, safety, and industry innovation.
Fee: € 3,300 (+ VAT)