Foundations of AI and Data
Build Confidence in a Data-Driven World
The Foundations of AI and Data introduces the essential building blocks of modern artificial intelligence and data-driven technologies. You will explore the core concepts of AI, machine learning, data, and analytics. You will explore the key methods used in AI today and examine practical examples of how these technologies are applied across industries.
The program also covers the foundations of data science and statistical thinking, focusing on understanding data quality, evaluation metrics, and the critical role of statistics in assessing AI performance and potential.
Benefits
This program equips participants with the essential knowledge to confidently engage with AI and data-driven technologies. Combining conceptual understanding with practical evaluation skills supports more informed decision-making in today's rapidly evolving digital landscape.
For
This program is designed for professionals, managers, and decision makers across various industries who need to better understand and assess the role of AI and data in their work. Whether you are directly involved in projects using AI, making strategic decisions about data investments, or collaborating with technical teams, this program provides the foundational knowledge needed to engage more confidently and effectively.
- Professionals who need the confidence to work with AI tools and data teams by building a clear understanding of core concepts and practical applications
- Managers responsible for assessing AI opportunities and communicating effectively between technical experts and business goals
- Decision-makers who need to make informed, strategic choices about AI adoption, risks, and investments based on a realistic grasp of its capabilities and limitations
Content and Schedule
Foundations of AI and Data is a one-day (09:00–16:00), instructor-led live online program. The program is organized twice a year.
The program combines conceptual learning with practical application, using a mix of expert-led instruction, real-world examples, and guided reflection. In addition to technical insights, the program emphasizes critical thinking and data literacy, helping you to understand how data quality, evaluation metrics, and basic statistical concepts influence the effectiveness and trustworthiness of AI solutions. You will engage with other participants through case-based discussions, illustrative examples, and interactive exercises that help them connect theoretical concepts to everyday challenges in AI and data use to build a solid conceptual base for working with or evaluating AI-driven technologies, regardless of prior technical experience.
Instructor
Antti Ukkonen
Antti Ukkonen is an Adjunct Professor ("Docent") at the Department of Computer Science, University of Helsinki.
Ukkonen is a computer scientist and educator with 20+ years of R&D experience across both the private and public sectors. He has worked as the Chief Product Officer at Speechly, a venture-funded startup acquired by Roblox Inc. in September 2023; as an Academy Research Fellow at the University of Helsinki; at the Finnish Institute for Occupational Health; at Aalto University; and at Yahoo! Research.
Ukkonen holds a doctoral degree from Aalto University (2008).
