This immersive weekend course is ideally suited for professionals eager to amplify their expertise in Generative AI without sacrificing data integrity, thereby offering an unparalleled blend of depth, practicality, and ethical considerations.
18 & 19 November
2 days (weekend)
Embark on an intensive educational journey designed to equip you with a robust, hands-on understanding of Generative AI.
This course is structured to provide not only an in-depth exploration of the field but also a pragmatic guide for levering performance through the utilization of these tools. Throughout this course, we will examine the landscape of this domain, while delving into its pertinent real-world applications.
Our curriculum covers a wide range of critical aspects in Generative AI—from its historical evolution to its present-day state of the art, demystifying the complexities that often shroud this transformative technology. As participants, you will gain a thorough understanding of the field’s key applications, while our emphasis on responsible AI practices ensures the utmost confidentiality and security of your company’s data.
Immerse yourself in a weekend of exploration, learning, and networking in the enthralling world of privacy-centric Generative AI. Secure your spot now and pioneer a future where AI and data privacy coexist!
At the end of this course, participants should be able to:
This course brings benefits to anyone who faces GenAI implementation challenges in organizations or is part of teams that are directly or indirectly involved in projects where Generative AI is used.
We invite participants who:
Assistant Professor, NOVA FCT
Aneesh Zutshi is a researcher on upcoming technological trends and how they shape Business and Society and lectures on these themes. His research work is focussed on the emergence of Digital Platforms and Blockchain Technology, and their role in disrupting traditional forms of Businesses, and new forms of organizational setup to reflect these innovations. Blockchain technology along with Machine Learning, Big Data and IOT is powering a new generation of organizational setup where trust can be decentralised in unique ways, and a multidisciplinary approach is vital for the emergence of new Business Models.He lectures and organise courses and educational programmes on Digital Entrepreneurship, Business Models, Digital Platforms, and Blockchain Technology. He has led numerous projects on Digital Entrepreneurship for the European Commission (such as project DIGISTART and project MYGATEWAY) where he organised several Workshops and Training Courses across Europe on the Topic of Digital Entrepreneurship, and how to build Entrepreneurial Ecosystems in Universities.
Aneesh is involved in managing the Entrepreneurship related programmes at FCT NOVA. In addition to having several publications on these themes, he has also been an Editor for a special issue on “Blockchain and Tokenization for Industry and Services” at the Journal of Computers and Industrial Engineering (Impact Factor 3.5). He has also participated in various think tanks and conferences such as the Horasis Conference and the European Innovation Academy.
Data Scientist and NLP at Closer Consulting
He has a degree in Industrial Engineering and Management and a Master’s degree in Big Data Engineering and Analysis, both from NOVA FCT. He also has a postgraduate qualification in Data Science from the Lisbon Data Science Academy.
During his academic career, he taught programming to young people.
He has been a teacher at the Samsung Innovation Campus for two editions.
Since 2020, he has worked in multinational companies, being involved in various data science projects, including churn prediction, speech emotion recognition, recommendation systems, search engines, document classification, question and answering, and anonymisation.
In the last year of this journey, he has been in contact with cutting-edge technologies such as Transformers, LLMs, Generative AI and Cloud.
Founder and CEO of SAFE AI [4U]
David Belo serves as the Founder and CEO of SAFE AI [4U], a company with focused expertise in responsible AI R&D and training, primarily within the healthcare domain. His driving force is a deep-rooted commitment to innovative AI solutions, always emphasising ethical application.
With a PhD in Biomedical Engineering, his specialisation lies in the application of deep learning for biosignal analysis. David boasts a rich professional history spanning over 15 years, characterised by his proficiency in crafting, refining, and instructing advanced AI architectures. In addition to his academic journey, he has amassed invaluable industry experience, including a notable role as a specialist at NASA’s Frontier Development Lab.
David’s extensive repertoire extends beyond technical prowess. He also possesses a proven track record in creating and coordinating successful National and European grants. Notably, his involvement in projects like AISym4Med underscores his pioneering efforts in utilising generative AI to craft healthcare data solutions that prioritise sharing while safeguarding privacy.
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