Government Pavilion, C/ Padre Herrera s/n
Post Office Box 456
38200, San Cristobal de La Laguna
Santa Cruz de Tenerife - Spain
Switchboard Tel.: (+34) 922 31 90 00
Hours: Mon, 8:00 a.m. to 9:00 p.m.
Machine Learning and Large Language Models
Machine Learning and Large Language Models
Overview
This microcredential provides comprehensive training in Machine Learning and Deep Learning, from the fundamentals to the advanced use of Large Language Models (LLMs). Students will develop skills to interact with LLMs through APIs, prompt engineering, and tools such as LangChain, as well as to design advanced artificial intelligence systems, including RAG architectures and autonomous agents.
- Understand the theoretical and practical foundations of Machine Learning and Deep Learning, ranging from the training of classical algorithms and neural networks to the underlying architecture of Large Language Models (LLM).
- Develop integration and interaction skills with LLMs through the use of APIs, Prompt Engineering techniques, embedding management, and the construction of workflows using the LangChain library.
- Design advanced Artificial Intelligence systems by implementing RAG (Retrieval-Augmented Generation) architectures and autonomous agents with LangGraph, integrating LLM-based tools to optimize practical tasks
- Students must be between 25 and 64 years old on the date of
start of training. - A university degree will not be required to access this microcredential. However,
The student who wishes to gain admission must meet the following admission requirements: - Prior knowledge of Python programming language
- Debugging and running Python programs
- Data structures and flows in Python
Academic program
- Introduction to machine learning and deep learning at a theoretical level (From classical tree algorithms to deep neural networks)
- Training of two models (A regression model and an RN (to be specified depending on the level of the students)
- Theoretical introduction of neural networks to LLM
- Tokenization and embeddings, first calls to an LLM API
- Introduction and interaction with the LangChain library
- Prompt Engineering
- LangChain's most advanced chains and functions
- Introduction to Retrieval-Augmented Generation (RAG), practical exercises
- Introduction to Lang Graph and Agents
- Useful work tools based on LLM
- Theoretical classes: Expository and explanatory sessions
- Practical classes: Development of practical examples and use cases
- Independent work: 2 hours of independent practical work by the student are included.
The methodology is as follows:
- Masterclasses: Accompanied by examples and use cases.
- Practical classes: Interactive sessions involving the student.
Objective tests and case studies: Activities proposed by the teacher, such as completing exercises and tests
Attendance: Mandatory attendance at at least 7 of the 8 scheduled sessions
General information
Credits: 2 ECTS
Duration: 13/04/26 – 18/05/26
Teaching modality: Virtual
Location: Virtual
Valued at: €161
The cost of tuition for this Microcredential will be subsidized by the 'Plan for the development of university microcredentials', investment 6 of component 21 of the Addendum to the 'Recovery, Transformation and Resilience Plan', financed by the European Union – Next Generation EU, year 2025.
Short courses available in various formats (in-person, online, or hybrid). Ideal for learning without interrupting your professional life.
Content created and delivered by professionals and experts in the field, designed for immediate application.
Endorsed by the University of La Laguna. You will receive an official ECTS certificate, valid in the European Higher Education Area.
Teaching staff
Head of the ICT Service at the University of La Laguna (ULL), he has a distinguished profile in the application of new technologies within the public sector. In addition to his management role, he actively collaborates with the Cajasiete Chair of Big Data, Open Data, and Blockchain at the ULL. In this capacity, he contributes his expertise in the development and implementation of projects based on RPA, Machine Learning, Large Language Models (LLM), and Artificial Intelligence. His technological work has a direct impact on the digital transformation and modernization of services, directing these innovative solutions not only to the University of La Laguna itself, but also to important public administrations in the region, such as the Tenerife Island Council and the Canary Islands Institute of Statistics (ISTAC), among others.
A Telecommunications Engineer, she currently works as an R&D (Research and Development) Engineer at Unith. This technology company (unith.ai[Company Name] is at the forefront of conversational artificial intelligence, specializing in the creation of "Digital Humans" or hyper-realistic interactive avatars. These generative AI-powered solutions go far beyond traditional text chatbots, as they are capable of conversing, automating processes, and connecting with users in real time through near-human voice and facial expressions. From her role in research and development, Mónica brings expert and practical insight into how engineering and the latest artificial intelligence technologies are coming together to revolutionize the communication of the future.
