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Accadem_IA

WOULD YOU LIKE TO FOLLOW YOUR COURSE IN PERSON?

ACCADEM_IA: DISCOVER, LEARN, CREATE AI_ AND AUTOM_ATION.

OUR TEAM

THE FUN DOESN'T END HERE, VISIT OUR OTHER WEB SPACES

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Trekking in montagna
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Trekking in the mountains
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RESEARCH

We offer the possibility of organizing our courses directly at your location! The service requires a small surcharge that covers travel and accommodation expenses. For a personalized quote or more information, do not hesitate to contact us . We are here to adapt the training to your needs!
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TEACHING THAT TEACH

A PRACTICAL AND LABOR MARKET ORIENTED APPROACH

​Our training is designed to have a concrete impact on students' professional growth. Each course is structured with a strong focus on the design of real solutions, the use of cutting-edge tools and the direct application of the skills acquired. We collaborate with companies and professionals in the sector to ensure that our programs are always updated and respond to market demands.

OUR TEACHERS
 

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Gregor Maric

/ Process Optimization Expert

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Fabio Lonardoni

/ AI Ethics & Compliance Expert

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Paolo Zanni

/ Project Management

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Naidu Kottavalasa

/ AI Research & Development Expert

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Mosè Di Leo

/ Digital Marketing Expert

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Usha Padma Rachakonda

/ AI Engineer & Developer

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Martina D'Occhio

/ Prompt Engineer

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Mohammad Hakimi 

/ Front-end AI Specialist

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Tina Giaconelli

/ UI/UX AI Expert

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Ismail Kerem Tatlici

/ AI LLM Developer Expert 

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Nicola di Nardo

/ AI Product Management

THE FACULTY

​THE VALUE OF OUR FACULTY

​The Academ_IA faculty is made up of high-level professionals in the field of Artificial Intelligence, Automation and Digital Technologies. Each teacher brings concrete skills, field experience and an innovative approach to teaching to the classroom. Our goal is to offer training that combines theory and practice, providing students with tools that are immediately applicable in the world of work.

​THE EXPERIENCE OF OUR TEACHERS

​The teachers of Academ_IA are recognized experts in the sector, with years of experience in tech companies, innovative startups and advanced research projects. Thanks to their in-depth knowledge, they guide students through the real challenges of AI and automation, offering not only theoretical lessons, but also best practices, case studies and practical applications to address market needs.

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