Join 5-day Executive Course: "Enabling Innovation with Data Science"
Dear Decision Maker,
Are you looking to empower your organization with data science potential for innovation and impact? Then, the executive education course “Enabling Innovation with Data Science” of the Swiss Data Science Center (SDSC) is made for you.
In this bespoke 5-day program (January 17, 24, 31 and February 7, 28), certified by the ETH Zürich | School for Continuing Education (SCE) and co-organized with EPFL SCE, our senior SDSC instructors will take you on a captivating exploration of the world of data science, AI and machine learning, exposing you to real-world scenarios and practical learning experience.
Explore the program
In this course, you will:
- Understand the foundational principles and techniques of data science within the broader context of artificial intelligence (AI) and machine learning, including deep learning applications.
- Develop skills to objectively assess complexity and scalability of AI use cases.
- Acquire knowledge about tools to manage AI projects from scoping to minimum viable product (MVP) solution deployment.
- Explore real-world applications through hands-on machine learning assignments and discover concrete data science applications in the industry.
Precondition: High interest in AI-assisted decision making. No coding background required.
Gain deeper insights
Gain deeper insights
To help you better assess how this unique training could support your AI journey, we offer three short Information Sessions at the following dates:
- Thursday, 31.10.24 at 14:00 CET: Join Zoom Meeting
- Thursday, 14.11.24 at 14:00 CET: Join Zoom Meeting
- Thursday, 12.12.24 at 14:00 CET: Join Zoom Meeting
During these meetings, Dr. Matthias Galipaud and Dr. Anna Fournier will talk through the program with you and answer your questions.
Secure your spot
This course has a limited number of participants and will be held in the “Swiss AI Tower” (Andreasturm) building of ETH Zurich in Oerlikon. In-person participation is strongly encouraged. The sessions can also be joined remotely.
Enroll by December 31st, 2024, in this one-of-a-kind AI learning experience. Share this invitation with other industry professionals as you see fit.
Register today
Register today