GenAI Weekend: Disrupting Business Performance with Generative AI

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.

Next Date
16th, 17th March 2024
Length
2 days (weekend)
Format
In-person
Investment
1.100€ (includes staying 1 night at hotel)

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Overview

A Comprehensive and Practical Exploration of Generative AI.

Thanks to the latest advancements in AI from this past year, many day-to-day work tasks can now be performed at a fraction of the effort. However, industry adoption of new technology has always been a slow process. We thus expect that early adopters of Generative AI tools will present themselves with an unfair advantage against their competition, especially when it concerns company productivity. And this applies to several dimensions: from speeding up internal processes and communication, to improving current products and services, and even expanding marketing capabilities.

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!

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Course content

Day 1

AI Overview: Dive deep into AI’s origins, milestones, and its commitment to privacy.
Generative AI History (NLP): Trace the roots of Generative AI in NLP with a focus on secure data handling.
Generative AI Tools (NLP): Introduce tools shaping the NLP landscape, emphasizing their data protection features.
Use-Case: Explore real-world NLP-driven AI applications that prioritize data confidentiality.
Panel Discussion: Engage in discourse about AI’s future, its implications, and the importance of data privacy with industry leaders.
Cocktails & Drinks: Get together and take some time to relax, reflect and discussed on all that you’ve learned. and enjoy this time to relax and network in a chill environment

Day 2

Surf Lesson: Begin your day with a surf lesson to start the second part of the course with a refreshed state of mind.
Generative AI History (Video): Unearth AI’s evolution in the video sector while highlighting privacy-centric tools.
Generative AI Tools (Video): Delve into tools revolutionizing video processing through AI, with data privacy as a cornerstone.
Panel Discussion: Engage with experts on Responsible AI, NLP Gen AI use-cases, and data privacy’s paramount role.

Learning outcomes

At the end of this course, participants should be able to:

Understand Generative AI’s advancements;
Familiarize with generative tools for NLP and video;
Understand data Security in Gen AI;
Engage in insightful discussions about Responsible AI and its ethical implications;
Network with peers and professionals who face similar issues in implementing GenAi in their companies;
Examine real-life use-cases of Generative AI;
Discover the latest tools and techniques.

Participants Profile

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:

Have an interest or background in AI
Seek knowledge in Generative AI with concerns about data privacy.
Are eager to network and learn from other industry frontrunners.
Value hands-on experiences with cutting-edge technologies.

Program Coordination

António Coelho

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.

Aneesh Zutshi

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.