Artificial intelligence (AI) is no longer just a technological trend: it's a key tool for improving efficiency, reducing errors, and making better decisions in finance. Today, finance teams that master the use of AI have a clear competitive advantage over those that continue to use traditional methods. This course addresses that need, providing practical, accessible training that is directly applicable to daily work.
This course is designed for finance professionals who want to understand how AI works and how to integrate it into key processes such as budgeting, risk analysis, fraud detection, and report automation. Through real-world case studies and no-code tools, participants will learn to identify opportunities for improvement and make data-driven decisions.
The approach is practical. It's not about learning complex technical theory, but about applying the essentials of AI in a financial context. Furthermore, key topics such as implementation costs, success indicators, and the ethical dilemmas associated with the use of data and automation will be addressed.
At the end of the course, participants will not only understand the potential of artificial intelligence in finance, but will also have the necessary knowledge to start applying it and move towards the financial profile that companies are looking for in the digital age.
- Financial professionals seeking to understand how artificial intelligence works and how to apply it practically in their work processes.
- Executives and decision-makers who want to improve financial analysis using data-driven tools.
- Professionals interested in incorporating new technologies to optimize financial processes and strengthen decision-making.
General objective:
Understanding how artificial intelligence works and how to apply it practically in financial management to optimize processes and improve decision-making.
Specific objectives:
- Design and implement artificial intelligence workflows to automate financial processes and improve decision-making.
- Understanding how artificial intelligence is transforming financial management.
- Identify specific opportunities to apply AI in key financial processes.
- Evaluate the impact, costs, and benefits of artificial intelligence-based solutions.
- Recognize the ethical risks associated with the use of AI in finance.
- Develop skills to work with artificial intelligence tools in financial environments.
The course is developed using a theoretical-practical approach focused on the direct application of knowledge in real-world financial contexts. Sessions combine conceptual presentations with the analysis of real-world cases, practical exercises, and demonstrations of the use of artificial intelligence tools applied to financial management.
During the course, participants will analyze real-world business scenarios and explore tools that automate financial processes, generate analytical reports, and support strategic decision-making. The methodology promotes active participation, the exchange of experiences, and the immediate application of acquired knowledge.
The course takes place in virtual modality, through online sessions that allow direct interaction between teacher and participants.
- Certificate of completion of the AI for Financial Management Course issued by UDEP:
It will be awarded to participants who have passed the program with a minimum grade of twelve (12) and meet a minimum of 80% class attendance. - Certificate of participation:
This certificate will be awarded to participants who do not pass the program but have a minimum of 80% class attendance. It will only be issued by UDEP.
*All certificates will be issued electronically and sent via email 20 business days after all grades are received. This program does not lead to an academic degree.