With this Internship program, you will gain hands-on experience in the use of advanced Artificial Intelligence tools, improving your skills to develop more efficient and effective code”

Artificial Intelligence (AI) has revolutionized the field of programming, with tools such as GitHub Copilot and ChatGPT making it easier to create code. These technologies use advanced language models to assist programmers by suggesting lines of code, detecting errors and providing efficient solutions in real time. Therefore, the adoption of AI in programming not only increases productivity, but also democratizes access to coding, allowing developers to improve their skills and accelerate software development.

Therefore, during 3 weeks, the graduate will become part of a team of specialists of the highest level, with whom they will actively work on real software development projects, using Artificial Intelligence. In this way, they will be able not only to get up to date with the most effective techniques, but also to implement the necessary skills to excel in this field. As a result,  you will participate in a program that will elevate your computing talent to the highest level.

During your stay you will be supported by an assistant tutor, who will ensure that the requirements for which this Internship program was designed are met. Therefore, the specialist will work with total guarantee and security in the handling of the most innovative technology, as well as in the use of the tools and procedures with the best results to date.

The objectives of the program will equip computer scientists with solid technical skills in advanced AI tools, enabling them to apply machine learning and natural language processing principles when creating intelligent software. In addition, it will deepen theoretical and practical understanding of AI algorithms and models, preparing professionals to tackle complex challenges in developing innovative solutions. Another key objective will be to foster interdisciplinary collaboration and team-based problem solving, reflecting the dynamics of today's work environment, in which the integration of emerging technologies such as AI is critical.

General Objectives

• Master the theoretical foundations of Artificial Intelligence
• Apply machine learning algorithms in practical projects
• Implement natural language processing (NLP) techniques in software applications
• Optimize AI models to improve code accuracy and efficiency
• Solve complex problems using advanced AI tools
• Integrate AI systems into the software development cycle effectively
• Improve the ability to make data-driven decisions through AI
• Develop skills in manipulating and analyzing large volumes of data
• Collaborate in multidisciplinary teams for AI and programming projects
• Continuously adapt skills and knowledge to the latest innovations in AI

Specific Objectives

• Master the fundamental concepts of Artificial Intelligence and machine learning
• Familiarize with popular libraries and frameworks such as TensorFlow and PyTorch
• Implement and train supervised learning models such as linear regression, decision trees and neural networks
• Apply unsupervised learning techniques such as clustering and dimensionality reduction
• Use natural language processing (NLP) techniques to analyze and process text
• Develop skills in data preprocessing to improve the quality and efficiency of AI models
• Experiment with hyperparameter optimization techniques to improve model performance
• Evaluate and compare different AI models using appropriate metrics such as accuracy, recall and F1-score
• Apply cross-validation and dataset separation techniques to ensure generalization of models
• Use visualization tools to interpret results and understand model behavior
• Integrate AI models in practical applications such as recommender systems, chatbots or predictive analytics
• Implement Deep Learning models for complex tasks such as image recognition or speech processing
• Collaborate in multidisciplinary teams to develop AI solutions that address real-world problems
• Perform extensive testing and debugging of AI models to ensure their robustness and reliability
• Properly document the model development process, including data selection, model design, and results evaluation
• Optimize code for efficient deployment of AI models in production environments
• Follow ethical and legal practices in collecting, storing, and processing data for AI models
• Keep up to date with the latest research and developments in the field of Artificial Intelligence
• Acquire skills in effectively communicating the results and applications of AI models to different audiences
• Develop a research and creative mindset to explore new techniques and applications of artificial intelligence in programming