In the program, you will seek views on digital responsibility and look at digitalization as a phenomenon from a sustainability perspective. The program is organized by Aalto EE in Singapore.

Managing Technical Debt program is designed to equip organizations to understand the concept and challenges associated with technical debt, while providing them with the essential knowledge and skills to manage it effectively.

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.

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.

The program provides essential knowledge and practical skills for building scalable and efficient data pipelines and enhancing business decision-making, automation, and analytics capabilities. Participants will also learn to manage modern data infrastructure, supporting AI and machine learning applications while gaining a competitive edge and cost savings.

In this program, you will examine digitalization as a global and social phenomenon from the perspective of responsibility. The program is held in Finnish.

This program thoroughly examines what leaders and decision-makers should know about AI technology and its implications for business. It covers the technologies’ possibilities and limitations, through leading organizational transformations to ecosystem-level changes.

This program provides you with an in-depth understanding of the ongoing changes in strategy and management practices brought by contemporary digital technologies. The program will increase your understanding of the technical changes, economic logic, and new business models driving the ongoing digital transformation. After the program, you will be able to identity, foresight, and respond to changes taking place in an industry, including the shift toward digital ecosystems.

The focus of the training program is to develop business-oriented data management work and the use of digitalization to develop a company's business activities. You will explore business and IT strategy coordination, ICT management, portfolio management, and customer-oriented service production.

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.

This program is a recruitment training program for unemployed job seekers. The program equips you with a solid foundation in modern data engineering, covering everything from building data pipelines and working with tools like SQL and Python to developing scalable AI workflows.

This program touches on digital transformation, especially from the perspective of technology and data. During the program focus on how digitalization, platform economy, digital technology strategies, and innovative business models are transforming and providing new opportunities for business. We will also investigate data strategy and how to build a competent data team.