This course is part of the new M.Sc. in Artificial Intelligence, developed as part of the
Master programmes in Artificial Intelligence 4 Careers in Europe,
and is offered within the network of partner universities promoting new careers in AI for students from any EU country.
The course aspires to help students explore and master key concepts and challenges of relevance to AI and
Data-driven entrepreneurship. It introduces students to the world of high-technology entrepreneurship
through case studies that demonstrate successes, failures, and challenges. The course provides also
an overview of, and an introduction to key steps to develop a start-up, design a business model, explore
product-market fit, manage intellectual property, and attract investment.
explore acknowledged innovation-driven entrepreneurship methodologies and experiment with them and associated
tools to pursue the translation of their ideas into entrepreneurial endeavors. The course examines issues
faced by Start-up Founders and Chief Technology Officers who need to innovate at the boundaries of AI,
Ιnformation Τechnology, and Βusiness by understanding all perspectives.
Instructor: Professor Marios D. Dikaiakos.
http://www.cs.ucy.ac.cy/mdd, Tel.: 22-892720,
Office: ΘΕΕ01-012, Office Hours: Friday, 12:00-13:30 or
by appointment. Follow @dikaiakos Teaching Assistant: TBA Prerequisites: none Lectures: Monday,15:00-18:00,
B101 Lab, ΘΕΕ01 Recitation: Wednesday, 16:00-17:00, B101 or as announced in
C4E News and Events. Announcements and Communication:Discord
During the course students will review and explore, through lectures, invited talks, discussions, videos, reading
and writing assignments, and practice:
Pathways for innovative, AI-driven start-ups.
The key stages of turning an idea or invention into a commercial product.
The 24 steps if MIT's Disciplined Entrepreneurship methodology.
The Lean Product Methodology for creating Minimum Viable Products and Rapid Customer Feedback.
The Business Model Canvas methodologies in Information Technology and Scientific application contexts.
Overview of techniques for creative ideation and design of software applications, products and services,
such as Design Thinking, Innovators’ Compass, and Sprint.
Basics of Intellectual Property.
Aspects of team formation and management: attracting talent, hiring and firing, team management.
Collaboration, ideation and rapid prototyping tools.
Financials and financing options for start-ups.
Fund-raising, preparation of pitch decks and pitching in front of investors.