The Master in Generative AI and Agent Governance aims to provide interdisciplinary training in the design,
deployment, and responsible oversight of generative AI systems and autonomous agents across business,
regulatory, and organizational contexts
MASTER IN GENERATIVE AI AND AI AGENTS GOVERNANCE
MASTER IN GENERATIVE AI AND AI AGENTS GOVERNANCE
Master de Formación Permanente in Generative AI and Agent Governance
Presentation
Generative Artificial Intelligence is revolutionizing how machines interact with information, users, and decision-making. As a fast-evolving branch of AI, it enables systems to create original content, ideas, and actions. Recent breakthroughs in large language models, multimodal systems, and autonomous agents have propelled generative AI into mainstream applications. This transformation is not only technological—it’s reshaping the future of work, requiring professionals across fields to collaborate with intelligent systems rather than compete with them.
This Master’s program prepares a new generation of leaders to meet that challenge. Designed for business professionals, technologists, policymakers, and entrepreneurs, it offers interdisciplinary training in deploying, auditing, and governing generative AI systems. With a focus on responsible innovation, the program equips students with the strategic, ethical, and operational skills needed to guide AI in sectors like law, finance, logistics, and public administration—ensuring these powerful technologies align with human values and regulatory demands.
What do we offer?
Advanced Training in Generative AI & Governance
COMPATIBLE WITH WORK
The program is compatible with a professional activity. Contents and evaluations can be accessed through an e-learning platform that is accessible 24/7, allowing the student to follow the program at their own paceSOUND PREPARATION
A sound preparation with 60 ECTS (European Credit Transfer System) which allows to cover in depth all the concepts and applications.METHODOLOGY
Online Classes, with pre-recorded and on live sessions scheduled on selected dates.The program is modularized in weeks, during each of when only one subject is taughtUPDATED CURRICULUM
Which ensures that our students obtain updated knowledge in line with the needs of current company trendsOUTSTANDING PROFESSORS
Lecturers with hands-on experience in the design of Artificial Intelligence, Law and International RelationsCOMMUNITY AND ENVIRONMENT
We provide an environment that allows students to enrich the training experienceSPECIALIZATION
Specialize in the sector with the greatest growth in this area of AI, Law and GovernanceUNIVERSITY OF ALCALÁ
One of the best Universities in Europe and distinguished with five stars, the highest rating awarded by QS World University Rankings
Venue
FULLY ONLINE
Length
May 11, 2026 to April 2027
Deadline April 6, 2026
Deadline April 6, 2026
Fee
5,900 €
Scholarships and installment payment option available
Scholarships and installment payment option available
Candidate profile
Professionals in business, technology, law, or public policy, as well as researchers and entrepreneurs interested in designing, implementing, or regulating generative AI systems and intelligent agents across sectors such as finance, legal services, public administration, and digital platforms.
Program
Master in Generative AI and AI Agents Governance
FOUNDATIONS OF GENERATIVE AI AND LARGE LANGUAGE MODELS
- Transformers and LLMs: how machines understand and generate language
- Training methods: pre-training, fine-tuning, and RLHF
- Prompt design and real-world use in support, marketing, and docs
- Vector search and memory-efficient AI.
AI AND CYBERSECURITY IN THE AGE OF GENERATIVE MODELS
- Cyber threats in generative AI and LLMs in enterprise use
- Attack vectors: prompt injection, data leakage, adversarial prompts
- Defense strategies: red teaming, zero-trust, sandboxing, access control
- Risk assessment and incident response for resilient AI systems
AI STRATEGY AND GOVERNANCE IN THE ENTERPRISE
- Strategic use of generative AI and agents in core business functions
- Aligning AI with goals, innovation, and competitive advantage
- Governance: AI committees, data roles, and cross-functional leadership
- Managing AI investments, risk, and organizational change
AI FOR BUSINESS PROCESS AUTOMATION AND KNOWLEDGE WORK
- AI-driven transformation of workflows in HR, finance, legal, and more
- Designing AI agents, orchestration frameworks, and RAG systems
- Automating document-heavy and decision-intensive tasks
- Integrating AI with minimal disruption and maximum value
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS
- Design and deployment of autonomous and multi-agent systems
- Agent architectures, communication, and coordination strategies
- Use cases: decision support, automation, and customer interaction
- Hands-on agent building with LangChain, OpenAI APIs, and ReAct
HUMAN-CENTRED DESIGN AND INTERACTION WITH GENERATIVE AGENTS
- Designing human-centered, intuitive interactions with AI agents
- Conversational UX, trust calibration, and feedback loops
- Applications in service, onboarding, decision support, and coaching
- Responsible AI design across industries like finance and healthcare
ETHICS, EXPLAINABILITY AND RESPONSIBLE GENERATIVE AI
- Ethical foundations for responsible generative AI development
- Key principles: fairness, transparency, privacy, and accountability
- Auditing and explainability to manage bias and compliance
- Ethical challenges in high-stakes areas like hiring and healthcare
LEGAL FRAMEWORKS AND INTELECTUAL PROPERTY IN THE AGE OF GENERATIVE AI
- Legal issues in generative AI: IP, data governance, and liability
- Key topics: copyright, trade secrets, and synthetic media
- Global regulations: EU AI Act, U.S. policies, and China’s approach
- Case studies and contract drafting for AI legal risk management
EVALUATION AND ALIGNMENT OF GENERATIVE AI SYSTEMS
- Evaluating generative AI for reliability, safety, and human alignment
- Beyond accuracy: trust, fairness, transparency, and impact
- Human-in-the-loop methods and value-based performance benchmarks
- Risk-aware design and governance for responsible AI deployment
MULTIMODAL GENERATIVE AI AND DIGITAL MEDIA GOVERNANCE
- Multimodal AI: generating and managing text, images, audio, and video
- Impacts on media authenticity, IP rights, and misinformation
- Case studies on policy and ethical standards in digital media
- Focus on transparency, accountability, and inclusive governance
MASTER´S THESIS
- Independent short research paper on a Master’s-level topic
- Original analysis or exploration of a chosen AI-related theme
- Final presentation and defense before an academic committee
Our Team
The professors of the Master have a mean practical experience of 15 years in the area of Artificial Intelligence and AI agents governance. Most of them have a Ph.D.
Tenured Associate Professor of Economics (Finance) and of Computer Science (Artificial Intelligence). Fulbright Visiting Scholar in several US Universities and consultant for several Spanish Fortune 500 companies and for the Government. He has authored more than 100 publications and has lectured in the USA, Asia and Latin America. Director of the Laboratory of Computational Finance and Head of the Chair in Big Data and Predictive Analytics in Banking of the University of Alcalá.
Ignacio Olmeda, Ph.D.
Master's Director
Computer Scientist specialized in AI research and Data Analytics. He has a master’s degree in Big Data, and an expert program in Deep Learning. He works at Altran "World Class Center for Analytics" (Tessella) since 2015 where now at days he leads the AI R&D in the Spanish division.
Daniel Martínez
Lecturer
Luis Usero holds a degree in Computer Engineering from Universidad Carlos III and a PhD and Master's in University Teaching from Universidad de Alcalá. He has published numerous research articles and collaborates biweekly with Onda Cero as an Artificial Intelligence expert, contributing to eldiario.es and the Instituto Franklin. Currently, he coordinates the Cognitive Science research group and heads the Computer Science Department at Universidad de Alcalá
Luis Usero, Ph.D.
Lecturer, UAH
Juan Andres Aviles is a Telecommunications Engineer from the Polytechnic University of Valencia. He has more than 25 years of experience in the Information Technology sector, mainly at IBM Spain. Since his beginnings in the sector, he has always been associated with new technologies and innovation. He currently holds a position as technical director for Spain, Portugal and Greece, leading a team of IT architects with a focus on Industrial solutions, cognitive solutions and blockchain.
Juan Avilés
Lecturer
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