Artificial Intelligence and Deep Learning
Master de Formación Permanente in Artificial Intelligence and Deep Learning
The Master in Artificial Intelligence and Deep Learning provides the tools to understand how Machine Intelligence works as well as to put into perspective the impact of artificial sensing, cognition and action in areas such as Finance, Engineering or Arts.
The objetives of the Master consist on:
- Understanding the formal foundations of Machine Learning and its implications in human-machine interactions.
- Learning how to use high level languages in order to develop real applications based on AI as well as understanding the problems in implementing such applications in practice.
- Guiding the proposal of AI-based solutions, considering the ethical and legal aspects and the economic and social implications.
15th Edition. In English. Fully Online.
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 and Deep Learning SystemsCOMMUNITY 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 AIUNIVERSITY OF ALCALÁ
One of the best Universities in Europe and distinguished with five stars, the highest rating awarded by QS World University RankingsEnrollment open until January 1, 2025
Scholarships and installment payment option available
The Master in Artificial Intelligence and Deep Learning targets both professionals and graduates interested on understanding the foundations and implications of Artificial Intelligence and Deep Learning in Business, Art, and Society.
Our graduated students come from diverse countries such as United Kingdom, Australia, United Arab Emirates, India, Turkey, China, Germany, Saudi Arabia, Italy, Spain, Colombia, or Mexico among others.
Our students work in companies such as Nokia, Cisco, IBM, Phillips, Indra, HSBC, Google, Accenture, Omron, Roche, Telefonica, BBVA and Oracle, among others.
Master in Artificial Intelligence and Deep Learning
PYTHON FOR MACHINE LEARNING
- Arrays, matrices and vectors
- Graphics
- Program flow management
- Interfaces and data loading
- Programming exercises
ARTIFICIAL INTELLIGENCE AND DEEP LEARNING
- Evolution of Artificial Intelligence
- Supervised, unsupervised and reinforced Learning
- Foundations of Machine Learning
- Machine Learning Paradigms
- Deep Learning
- Extensions
COMPUTER VISION
- Introduction to CNN
- CNN architectures
- Object detection and semantic segmentation
- CNN for image generation
SEQUENTIAL NETWORKS AND TRANSFORMERS
- Sequential and time series problems
- Recurrent networks
- LSTM and GRU models
- Attention models and Transformers
- Applications to Natural Language Processing
GENETIC ALGORITHMS AND EVOLUTIONARY COMPUTATION
- Introduction to Evolutionary Computation
- Programming an Evolutionary Algorithm
- Introduction to Genetic Programming
- Genetic Programming: Finding the Hidden Function
- Evolutionary Machine Learning
UNSUPERVISED AND REINFORCED LEARNING
- Introductions to unsupervised learning
- Association rules and Recommendation systems
- Advanced Clustering
- Introduction to reinforcement learning
- Markov decision process
- OpenAI GYM
AUGMENTED INTELLIGENCE AND HUMAN MACHINE INTERACTION
- Cognitive Theories
- Interaction design
- Data and AI Ethics
GENERATIVE AI
- Introduction to GenAI
- Introduction to Natural Language Processing
- Prompt engineering
- Generative Architectures
MASTER’S THESIS
Independent research paper performed by the student on one of the topics of the Master. The paper needs to be presented and defended against a Committee at the end of the MasterThe professors of the Master in Artificial Intelligence and Deep Learning have a mean practical experience of 15 years in the area of Artificial Intelligence. Most of them have a Ph.D.
Francisco Soler has a PhD in Computer Science in AI and a Bachelor in Mathematics. Professor in different Masters in Deep Learning area. It has more than 150 publications in prestigious international conferences and journals. Around private companies, he led the creation of Big Data-Analytics area in the technological consultancy Altran, a company specialized in Analytics and AI, he is currently part of the Artificial Intelligence division at Accenture as AI Senior Manager in Spain, Portugal and Israel.
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