On Line Training:10 hours in two days

IN SUMMARY, THIS AI TRAINING COURSE FOR NON-PROGRAMMERS SERVES THE PURPOSE OF FOSTERING A BROADER COMPREHENSION OF AI, ENCOURAGING INTERDISCIPLINARY COLLABORATION, SUPPORTING STRATEGIC DECISION-MAKING, AND PREPARING INDIVIDUALS FOR AN AI-DRIVEN FUTURE.

1. Enhancing AI literacy among non-programmers to dispel fears and misconceptions, fostering a positive and informed public discussion on AI’s impact.
2. Enabling adaptation to the dynamic technological landscape, allowing non-programmers to make meaningful contributions to their respective fields by providing fundamental knowledge of AI technologies and tools.
3. Creating new career possibilities by helping individuals transition to roles requiring collaboration with AI teams or managing AI projects.
4. Assisting managers, executives, and decision-makers in evaluating the feasibility, risks, and potential benefits of implementing AI solutions within their organizations.
5. Facilitating improved collaboration with experts by providing individuals with a foundational understanding of AI concepts, terminology, and limitations.

DATES:

• Thursday 23rd and Friday 24th May 2024 (from 9h30 to 13h00 and from 14h00 to 16h00)

• Thursday 30th and Friday 31st May 2024 (from 9h30 to 13h00 and from 14h00 to 16h00)

Costs:

• GWMH members:                  80 Euro-8 Euro/hour
• Non-members:                    100 Euro-10 Euro/hour
• Invoice will be provided upon request
• Payment method available upon registration

Summary Programme 

Detailed Programme please click here

Lecturer: Professor and Researcher Raffaella Folgieri at Università degli Studi di Milano (Italy) in Cognitive Science and artificial intelligence

Module 1: Understanding Artificial Intelligence (2h)

Module 2: Machine learning and big data (2h)

Module 3: Natural Language Processing (NLP 2 hours)

Module 4: Overview of AI Tools (2h)

Module 5: Ethics and Legal Considerations (2h)

Training: eteam link will be provided after payment.

Experience:

Teaching and research area: Artificial Intelligence, Virtual Reality in particular the exploration of cognitive mechanisms, learning approaches, emotional and mental states, interpersonal, B2B (Brain to Brain) and B2M (Brain to Machine) communication, with the the aim of designing new co-evolutionary paradigms and exploring the mechanisms of human and human-machine interaction.