Messages will not be answered from August 1 to 26 due to summer break. They will be answered after break in the order they were received.
This series of specialization courses offers a complete immersion in the fields of deep learning, large language models (LLM) and their impactful applications. These courses cover a spectrum ranging from fundamental principles to the most advanced methodologies. We offer you a comprehensive learning pathway to gain practical experience as each course includes practical exercises and real-life case studies.
Aimed at professionals, researchers and students who wish to understand and apply the latest techniques in Artificial Intelligence.
The courses are independent, so you can take just one or combine them as you wish depending on your needs and skills.

Courses 2024

Deep Learning for NLP (code: C1_DL4NLP)
September 9th to 13th, 20 hours, 5 afternoons. 13th edition.
Instructor: Eneko Agirre

This course introduces in detail the machinery that makes Deep Learning work for NLP, including the latest transformers and large language models like GPT, BERT and T5. Attendants will be able to understand, modify and apply current and future Deep Learning models. They will learn the inner workings of the models and implement them in Keras.

Student profile: professionals, researchers and students with basic programming and Python experience. Basic math skills (algebra or pre-calculus) are also needed. Although not strictly necessary, we recommend subscribing to Collab Pro for more out of GPUs.

Cost: 270€ (+ 4€ insurance, you only need to pay the insurance for one of the courses)

Registration!

Introduction to LT Applications (code: C2_ILTAPP)
September 16th to 20th, 20 hours, 5 afternoons. 7th edition.
Instructor: Rodrigo Agerri

This course will introduce the most commonly used techniques to build applications based on Language Technology.
Attendees will learn how to apply techniques such as document classification, sequence labeling, as well as vector-based word representations (embeddings) and pretrained language models for core applications such as Opinion Mining, Fake News Detection or Question Answering.

Student profile: graduate students and professionals from a range of disciplines (linguistics, journalism, computer science, sociology, etc.) that need an applied introduction to Language Technology. For the practical content (coding exercises) some experience in python programming is recommended. Although not strictly necessary, we recommend subscribing to Collab Pro for more out of GPUs.

Cost: 270€ (+ 4€ insurance, you only need to pay the insurance for one of the courses)

Registration!

Large Language Models (code: C3_LLMS)
September 30th to October 04th, 20 hours, 5 afternoons. 1st edition.
Instructor: Oier Lopez de Lacalle

The course will introduce large language models, with special emphasis on adaptation techniques (e.g. in-context learning, few-shot, instruction learning) and ways to align with human preferences. In addition, advanced training techniques such as parallelism, selective architectures and scaling laws are presented.
Participants, in addition to understanding the fundamentals of LLMs and learning advanced training techniques, will gain hands-on experience in applying and working with these models, while addressing biases and ethical concerns.

Student profile: professionals, researchers and students with basic programming and Python experience. Basic math skills (algebra or pre-calculus) are also needed. Although not strictly necessary, we recommend subscribing to Collab Pro for more out of GPUs.

Cost: 270€ (+ 4€ insurance, you only need to pay the insurance for one of the courses)

Registration!

Generative Playground: LLMs made easy (code: C4_GPLLMME)
October 14th to 18th, 20 hours, 5 afternoons. 1st edition.
Instructor: Ander Barrena

The aim of this course is to understand and deploy large language models (LLMs) from a practical perspective, enabling students to gain hands-on experience with these models without coding, with particular emphasis on ethical considerations, including addressing bias in language, responsibly handling sensitive information, and evaluating the deployed models.
Participants will learn how to use proprietary models like GPT-4o and open-source models like LLaMa3 for prompt engineering, creating agents, chatbots, Retrieval Augmented Generation (RAG) models, and other NLP applications.

Student profile: graduate students and professionals from various disciplines (linguistics, journalism, computer science, sociology, etc.) who need to understand and deploy LLMs easily. No coding skills are necessary for the practical content. Although not strictly necessary, the OpenAI ChatGPT Plus subscription plan is advisable to complete some of the labs.

Cost: 270€ (+ 4€ insurance, you only need to pay the insurance for one of the courses)

Registration!


More courses coming soon:

  • Legal Issues in Artificial Intelligence: A Comprehensive Overview
  • Retos y oportunidades de la IA en la gestión empresarial
  • Tecnologías de lenguaje para la industria
  • Aplicación Industrial de las Tecnologías del Habla en la era de la Inteligencia Artificial


Registration and Enrolment

 Messages will not be answered from August 1 to 26 due to summer break. They will be answered after break in the order they were received.
Pre-registration: please register by email to ixa.administratzailea@ehu.eus (subject "Registration to course code" and cc olatz.arregi@ehu.eus).
If there is room in the course you will receive a confirmation message. Otherwise you will be put on a waiting list.
Registration has to be done for each course, see respective websites.
Note that you only need to pay the insurance for one of the courses.

More information:
Administrative information: Amaia Lorenzo, ixa.administratzailea@ehu.eus, 943 015172
Academic information: Olatz Arregi, olatz.arregi@ehu.eus, 943 015079