Applied Generative Artificial Intelligence in Finance and Trading – FinanzIA
Description
This course is aimed at active professionals and technology enthusiasts who seek to harness the potential of artificial intelligence—particularly generative AI—to transform trading strategies and financial analysis. Through a 100% online, participants will learn how to apply these technologies in real-world financial contexts, enhancing decision-making, analytical efficiency, and strategic innovation. The course provides practical, up-to-date knowledge that can be acquired from anywhere, whether at home or in the workplace, while adapting to the needs and availability of each professional.
Objectives
You will acquire a solid foundation in Generative AI concepts, including neural networks, deep learning, and advanced machine learning techniques, using Python from the ground up.
You will explore the application of GenAI in quantitative finance, from risk management to portfolio optimization.
You will acquire the skills to develop and implement sophisticated algorithmic trading strategies using artificial intelligence–based models
You will take part in practical projects simulating real-world trading environments, allowing you to put your knowledge and skills into practice
You will analyze the ethical implications and regulatory aspects of using AI in finance, ensuring responsible and compliant practices.
Learning outcomes and type of achievement
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Understand the complexity of AI integration. This would simplify the process of incorporating advanced AI models into financial systems, making it accessible to finance professionals without extensive AI experience.
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Learn Python to automate routine financial workflows, reducing manual effort and minimizing errors.
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Equip professionals with the skills needed to leverage Artificial Intelligence, enabling better decision-making and gaining a strategic advantage.
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Integrate ethical considerations in accordance with current European regulations
Access prerequisites and admission criteria
Previous knowledge of finance is require.
Required age: between 25 and 64 years old.
Level of learning experience according to EQF European Qualifications Framework
Level 6. Specialization in Artificial Intelligence and Finance.
ESCO, European Skills, Competences, Qualifications and Occupations competency frameworks
Finance, banking and insurance
Finance, banking and insurance is the study of planning, directing, organizing and controlling financial activities and services. It includes the control and monitoring of the financial resources of organizations, institutions and individuals, and the provision of financial services at the corporate and individual level.
Principles of artificial intelligence
The artificial intelligence theories, applied principles, architectures and systems, such as intelligent agents, multi-agent systems, expert systems, rule-based systems, neural networks, ontologies and cognition theories.
Analyse big data.
Collect and evaluate numerical data in large quantities, especially for the purpose of identifying patterns between the data.
Evaluation tests
- Practical evaluations: 1. Projects
Activity directed to
- All public
- University student
- Students not from university
- Teachers
- Professionals
Methodology
Online Learning Course to solve real-world financial challenges using advanced analytics and AI. Over 17 weeks, you will gain hands-on experience through case studies, guided exercises, and a capstone project, applying your knowledge directly to professional scenarios. Live sessions, expert feedback, and collaborative analysis ensure you build practical skills and industry-ready expertise. Learn using Python from 0.
Organised by
In collaboration with
Directors
Rosa Rio Belver
UPV/EHU
Doctor of Industrial Engineering, specialized in Industrial Organization, with extensive experience in research, teaching, and academic management in the business and technology fields. She is currently a Full Professor in the Department of Business Organization at UPV/EHU and the creator and principal investigator of the Basque university system research groups TFM and T4BSS, focused on applying advanced technologies and analytics to improve business management. She has led over 17 R&D&I projects, supervised eight doctoral theses, and promoted technology transfer through innovative tools such as Cloudbm.net and the OPENDATA BILBAO BIZKAIA Business Hub. Her experience in managing academic programs, accreditations, and international research stays makes her a reference for directing high-level courses, the latest being “Digital Simulation of the Industrial Supply Chain,” focused on process optimization using digital tools and advanced analytics. She has been recognized with the INIZIA T-IKER and Talento Femenino, MUJER Y CIENCIA awards.
Speakers
Pablo Jesus Moreno Gonzalez
From Finance (15 years) to Data Scientist (8 years) and AI Product Manager (3 years), I have built a career focused on delivering impactful AI solutions that connect business strategy, technology, and financial operations. With a degree in Business Administration and two postgraduate degrees—one in Artificial Intelligence and the other in Cybersecurity—and experience in Business Intelligence, Robotic Process Automation, Artificial Intelligence, Machine Learning Engineering, and MLOps, I have worked in sectors such as finance, supply chain, and digital marketing. My passion for sharing knowledge extends to university teaching, publishing books, and speaking at international conferences. Author I am the author of "Machine Learning in Power BI with R and Python" and "From Notebook to Pipeline MLOps." GenAI Course I teach "Generative AI and Python for Algorithmic Trading and Quantitative Finance," "Machine Learning for Business," and other postgraduate courses related to AI. Areas of expertise: Quantitative finance, Financial markets, Digital marketing, Supply chain, Business operations, Risk management, Internal controls, Educational technology
Registration fees
If the microcredential has already started there will be no refund of the enrolment fee.
| Registration | Until 12-02-2026 |
|---|---|
| 397,33 EUR |
| Insurance | Until 12-02-2026 |
|---|---|
| 4,00 EUR |
Venue
Online
Online
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Agenda 2030 is the new international development agenda approved in September 2015 by the United Nations. This agenda aims to be an instrument to favour sustainable human development all over the planet, and its main pillars are the eradication of poverty, a reduction in equality and vulnerability and fostering sustainability. It is a unique opportunity to transform the world up to 2030 and guarantee human rights for all.
4 - Quality education
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