This Internship program will provide you with the opportunity to acquire practical skills and hands-on experience in the development and application of Artificial Intelligence algorithms"

According to recent studies, the global Artificial Intelligence (AI) market is expected to reach $733.7 billion, with applications ranging from process automation, to supply chain optimization and more accurate medical diagnostics. Engineers around the world are adopting advanced AI techniques, such as deep neural networks and supervised and unsupervised machine learning, to develop innovative solutions that improve operational efficiency and enable real-time data-informed decision making.

Given this framework, TECH has developed a revolutionary Internship program in Artificial Intelligence, consisting of a 120-hour on-site stay. Therefore, during 3 weeks, professionals will join a team composed of real experts in this field. Together with them, they will be actively involved in tasks such as data analysis, training of deep neural networks or the design of predictive models, among others. Thanks to this, they will acquire multiple competencies to optimize their usual procedures and provide top-quality services.

It should be noted that, during this itinerary, engineers will have the support of an assistant tutor, who will be in charge of guiding them and solving any doubts they may have. In this way, they will enjoy a successful learning experience that will help them to expand their professional prospects. Along the same lines, students will be highly qualified to make the leap to the most prestigious technological institutions, offering the most efficient solutions.

You will have access to a library of multimedia resources 7 days a week, 24 hours a day"

The objectives of the Internship program are to provide engineers with a deep and practical understanding of the fundamental principles and advanced applications of Artificial Intelligence. Through hands-on projects and case studies, engineers are expected to acquire concrete skills in the development and deployment of machine learning models, neural networks, and data processing. In addition, the training aims to familiarize engineers with leading tools and technologies in the field, preparing them to address complex technical challenges and apply innovative solutions in their respective areas of specialization.

You will strengthen your ability to solve complex problems by applying advanced algorithms and data processing techniques"

General Objectives

• Understand the theoretical foundations of Artificial Intelligence
• Study the different types of data and understand the data lifecycle
• Evaluate the crucial role of data in the development and implementation of AI solutions
• Delve into algorithms and complexity to solve specific problems
• Explore the theoretical basis of neural networks for Deep Learning development
• Analyze current strategies of Artificial Intelligence in various fields, identifying opportunities and challenges

Specific Objectives

• Understand the functioning of neural networks and their application in learning models in Artificial Intelligence
• Explore the initial stages of the data life cycle, highlighting the importance of data planning and structure
• Explore the Datawarehouse concept, with emphasis on the elements that comprise it and its design
• Master the fundamentals of data science, covering tools, types and sources for information analysis
• Explore the process of transforming data into information using data mining and visualization techniques
• Study the structure and characteristics of datasets, understanding their importance in the preparation and use of data for Artificial Intelligence models
• Analyze supervised and unsupervised models, including methods and classification
• Use specific tools and best practices in data handling and processing, ensuring efficiency and quality in the implementation of Artificial Intelligence
• Master the techniques of statistical inference to understand and apply statistical methods in data mining
• Perform detailed exploratory analysis of data sets to identify relevant patterns, anomalies, and trends
• Develop skills for data preparation, including data cleaning, integration, and formatting for use in data mining
• Introduce algorithm design strategies, providing a solid understanding of fundamental approaches to problem solving
• Analyze graph-based algorithms, exploring their application in the representation and solution of problems involving complex relationships
• Analyze the concept of the semantic web and its impact on the organization and retrieval of information in digital environments
• Evaluate and compare different knowledge representations, integrating these to improve the efficiency and accuracy of intelligent systems
• Study clustering techniques to identify patterns and structures in unlabeled data sets
• Explore text mining and natural language processing (NLP), understanding how machine learning techniques are applied to analyze and understand text
• Master the fundamentals of Deep Learning, understanding its essential role in Deep Learning
• Tune hyperparameters for Fine Tuning of neural networks, optimizing their performance on specific tasks
• Solve gradient-related problems in deep neural network training
• Explore and apply Data Augmentation techniques to enrich datasets and improve model generalization
• Master the fundamentals of TensorFlow and its integration with NumPy for efficient data management and calculations
• Customize models and training algorithms using the advanced capabilities of TensorFlow
• Explore the tfdata API to efficiently manage and manipulate datasets
• Explore object detection and object tracking strategies using Convolutional Neural Networks
• Developing skills in text generation using Recurrent Neural Networks (RNN)
• Delve into the implementation and usefulness of neural networks in bio-inspired computing
• Apply artificial intelligence techniques in industry to improve productivity
• Analyze the implications of artificial intelligence in the delivery of healthcare services
• Develop strategies for the implementation of artificial intelligence in financial services

This Internship program offers you the opportunity to develop in a real work scenario, with the guarantee of an institution at the forefront of technology"