Fundamentals of
Artificial Intelligence
(AI)
Focused online course
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 great tool.
degree scroll
OWN
PRICE
750€
DEADLINE DATE:
23-11-2024
DURATION:
7 weeks
24/7 Access
modality:
Online
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 best practices in the use of generative AI in your industry.
ETHICS AND
GOOD USE
To understand ethics as an essential factor for the proper use of Artificial Intelligence.
Agenda
UNIT 1
DATA SCIENCE
Definitions and data growth.
Industry 4.0 and architecture of data.
Processing of data.
Intrernet of Things.
PROF. Raquel Buitrón
manager of Technology
Alumni University of Navarra
UNIT 2
BIG DATA AND MACHINE LEARNING
Machine Learning concepts core topic .
Types of Machine Learning models.
Life cycle of a ML project .
Limitations of ML.
PROF. Josune Hernández
Director of Master's Degree in data analysis in Engineering - Tecnun
UNIT 3
SUPERVISED LEARNING
Concepts core topic of supervised algorithms.
Fundamentals of the linear regression algorithm.
Supervised algorithms: classification.
Metrics for assessment of sorting algorithms.
PROF. Josune Hernández
Director of Master's Degree at data analysis in Engineering - Tecnun
UNIT 4
UNSUPERVISED LEARNING
Concepts core topic of unsupervised machine learning models.
KMeans clustering algorithm.
Applications in the field of medicine and customer segmentation.
PROF. Idoia Ochoa
Coordinator of Degree in Artificial Intelligence -Tecnun
UNIT 5
DEEP LEARNING
Advances and evolution of Deep Learning.
Fundamentals of Deep Learning.
Application of Deep Learning in the Health Sector and in security and finance.
finance.
PROF. Idoia Ochoa
Coordinator of Degree in Artificial Intelligence -Tecnun
UNIT 6
LARGE LANGUAGE MODELS (CHAT GPT) I
Intro prompts.
Prompting patterns.
Hallucinations.
Guardrails.
PROF. Ivan Cordón
Director Innovation DATAI
UNIT 7
LARGE LANGUAGE MODELS (CHAT GPT) II
Best practices.
Advanced patterns.
Advanced patterns II.
GPTs
PROF. Ivan Cordón
Director Innovation DATAI
UNIT 8
ETHICS IN AI
Ethical risks.
Control risks data.
Rights risks.
Solutions I.
Solutions II.
PROF. Juan Carlos Hernández
Co-director of Master's Degree in
Digital Law
Want more reasons?
No previous knowledge is required.
Addressed to all subject of profile professional.
No programming is required.
submission of certificate successfully concluding the course.
language Spanish.
Felixibility at the beginning of the course. You can start in December or January.
Thinking about your continuoustraining , together with the most demanded topics nowadays, we offer you this exclusive course for alumni at no cost.
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 Degree in Artificial Intelligence - 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.
We want to get to know you through admissions process.
Take the time to fill in your application, pay attention to deadlines and dates and come to us whenever you need to.
You can reach us at contact through alumni@unav.es.
