Format:
Blended-Learning
This program provides an understanding of the latest approaches to prediction and classification with machine learning, as well as the theory and practice behind experiments and pilots as measurement tools in organizations. It aims to offer insights into the most recent advancements in technologies that enable the development of artificial intelligence systems, such as Chat-GPT or GEMINI, which can be applied and implemented in business contexts, having a direct impact on productivity and competitiveness.
The program offers practical experience through a case study that uses real-world data. The program consists of two curricular groups: the first curricular group focuses on predictive analysis through machine learning; the second curricular group introduces tools to design, implement, and evaluate experiments. Both curricular groups conclude with a group project to be developed using the methods and tools learned in the program.
Learning Journey
This highly practical and hands-on program is designed for executives, regardless of their academic background, who are interested in exploring the functionalities of data analysis and machine learning technologies applied to management and decision-making in business. It aims to provide the participants with a technical overview of the latest artificial intelligence and causal modelling tools.
The program prepares participants for a new professional profile emerging in European companies as a result of the implementation of the EU AI Act, such as “Chief AI Officer (CAIO)” or “Head of AI.” These emerging profiles will be responsible for the implementation, development, and management of Artificial Intelligence in companies and public organizations.
Required Background
Prior knowledge in statistics and programming (introductory level) will be advantageous for attending the program. Participants with no previous experience in programming or statistics will have access to a set of online tutorials through the DataCamp platform, as well as support throughout the program.
Technical Requirements
The in-person sessions will take place in a cloud infrastructure specially configured by the CATÓLICA-LISBON faculty. To maximize your experience, it will be necessary to install R and Python environments on your computer. We will provide support for software setup during the first sessions of the program.
Key Takeaways:
Apply the latest data analysis theories, including forecasting and causal inference methods to business analytics problems.
Use a statistical programming language (R/Python) to deploy machine learning and causal modeling methods in business-relevant problems.
Understand how to design and implement field experiments to measure the impact of business changes on relevant outcome metrics.
EXECUTIVE EDUCATION - OPEN PROGRAMS
Tânia Sousa