Fundamentals of
Artificial Intelligence
(AI)
Exclusive and free online focused course for alumni
We seek to understand the instructions of AI, its applications, how it learns and how it solves problems; as well as to recognize good practices as a foundation for the efficient use of this tool.
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OWN
START EDITION I:
March 3rd
PLACES ARE SOLD OUT
ESTIMATED TIME OF DEDICATION
10 hours
PRICE
750 (No cost for alumni).
modality:
Online
24/7 Access
HOME EDITION II:
May 5
Objectives
NOCIONES
BASICS
Understand the basics of Artificial Intelligence technology.
POSSIBLE
APPLICATIONS
To know the possible applications of this technology in today's society.
PROBLEMS
BUSINESS
Know how you learn and what methods you select to solve business problems.
IA
GENERATIVE
Recognize good practices in the use of generative AI in different areas.
ETHICS AND
GOOD USE
To understand ethics as an essential factor for the proper use of Artificial Intelligence.
Agenda
UNIT 1
DATA SCIENCE
Today, data is everywhere and knowing how to leverage it can make all the difference. In this unit, you will discover how data is stored, processed and used to generate valuable information. You will also explore how companies and technology use data to predict trends and make better decisions. From recommendations on streaming platforms to apps that optimize travel routes, data science is transforming the way we live and work.
UNIT 2
MACHINE LEARNING
Machine Learning is the technology behind many tools we use every day, from virtual assistants to custom content filters. In this unit, you will understand how machines can learn from data and improve their performance over time. You will also explore the benefits and challenges of this technology. Applications such as fraud detection, recommender systems and predictive analytics are revolutionizing industries and making our daily lives easier.
UNIT 3
SUPERVISED LEARNING
Platforms that predict what content we will like or systems that identify suspicious emails do not work by magic: behind them are supervised learning algorithms. In this unit, you will learn how these tools work and how they help improve accuracy in a variety of tasks. From medical diagnostics to predicting market prices, these technologies are changing the way we make important decisions.
UNIT 4
UNSUPERVISED LEARNING
Did you know that artificial intelligence can identify trends and patterns that at first glance go unnoticed? In this unit you will learn how AI models can help you segment customers or personalize services without the need to manually program rules. Whether you work in marketing, healthcare or any data industry, you'll discover how to leverage AI to make better decisions and anticipate people's needs.
UNIT 5
DEEP LEARNING
Voice assistants, spam filters, Netflix recommendations... All this works thanks to Deep Learning. In this unit, we will explore how this technology is transforming sectors such as health, security and finance, allowing you to automate processes, improve diagnostic accuracy and optimize data analysis. If you are looking for new ways to innovate your business or simply understand how these tools can make your life easier, you will find answers here.
UNIT 6
LARGE LANGUAGE MODELS LLM I
Language models like ChatGPT have revolutionized the way we interact with technology. But how do you get the most out of them? In this unit, you will learn how to ask more effective questions and requests to get better answers, optimize daily tasks and increase your productivity. You will also learn about their limitations and how to avoid common mistakes. If you want to use generative AI to improve communication, text writing or even automate parts of your work, this unit will be very useful.
UNIT 7
LARGE LANGUAGE MODELS LLM II
Can you imagine having a virtual assistant do tasks for you? In this unit, you will discover how to design more natural and effective interactions with AI models. You will delve into learning how to design questions that will allow you to avoid mistakes and use advanced techniques to automate processes in your day-to-day life. Whether in customer service, content generation or information management , this unit will give you practical tools to make the most of artificial intelligence.
UNIT 8
ETHICS IN AI
Artificial intelligence offers many opportunities, but it also poses ethical challenges: How to avoid bias in automated decisions, how to ensure that AI is used in a fair and transparent way? In this unit, we will explore these core topic and give you strategies for implementing AI responsibly in any environment. Understanding these principles will enable you to use AI more confidently and safely.
What you should know
24/7 access to program content.
No previous knowledge is required.
Addressed to all subject of profile professional.
No programming is required.
assessment subject test at the end of each module and unit.
certificate submission at the end of the course (0, 5 ECTS credit).
language Spanish.
Flexibility in the beginning of the course.
Explanatory videos, infographics, readings, downloadable material and scientific publications.
Our faculty
The team of professors is made up of AI specialists, academics and researchers of the University of Navarra of recognized professional prestige and proven track record in the subject taught.
RACHEL BUITRÓN
manager of Technology Alumni University of Navarra
JOSUNE HERNANTES
Director of Master's Degree in data analysis in Engineering - Tecnun
IDOIA OCHOA
Coordinator of the Degree in Artificial Intelligence Engineering - Tecnun
IVÁN CORDÓN
Director of Innovation DATAI
JUAN CARLOS HERNÁNDEZ
Co-director of Master's Degree in Digital Law
Scholarships
Alumni
Together, we can make it possible for more people to have the opportunity to study at the University of Navarra. In the last 20 years, nearly 2,000 young people have been able to study at degree program thanks to the generosity of the alumni and other institutions that support the University of Navarra financially. Alumni Scholarships. All donations from alumni go to the scholarship program.
Thinking about your continuous training , we invite you to visit the different courses on different subjects that we offer at the University.
Do you have any doubts?
You can contact us at contact or send us an e-mail at alumni@unav.es.
