Leading responsible artificial intelligence projects

What can you Expect?

Participants will gain practical tools, frameworks, and strategies to lead AI projects responsibly. Designed for both technical and non-technical leaders, this course will help you navigate the complexities of AI projects from planning to deployment. 

Who Should Attend?

Technical experts, subject matter experts, and professionals in both public and private sectors looking to lead AI projects with a responsible approach. 

As FARI is supported by the European Resilience & Recovery Fund (RRF), we can continue to offer free access to participants from public administrations, public institutions and research institutions. A 50% discount is available for educational institutions, NGOs, non-profits, Brussels-based companies, and Brussels residents.  

To benefit from the free training and the discounts, we ask you to register with a professional e-mail address from one of the categories listed above. 

Practical Details:

Languages:

English 

Dates:

03 October 2024 

28 November 2024   

Location:

FARI Test & Experience Center, Cantersteen 16, 1000 Brussels. 

Why Attend this Course?

This training offers a unique focus on ethical and legal integration into AI projects, providing methodologies that bridge technical and non-technical expertise. At the end of the day, you will be ready to lead AI projects that align with your organization’s values and legal requirements. 

Certification and Assessment:

The course does not include a formal exam. Certificates of attendance are available upon request.

Course Description:

Artificial Intelligence (AI) use cases and projects are proliferating in public and private organizations. Leadership of these projects often eludes those without technical expertise who are the subject matter experts. In addition, many projects proceed without incorporating ethical, legal, or environmental considerations from the design phase. 

This one-day training provides methodologies, frameworks, and tools to effectively lead responsible AI projects within organizations, from opportunity identification to deployment. By the end of the course, participants will have a comprehensive set of tools to launch their first responsible AI project.