University Microcredential in Neural Networks and Deep Learning with Keras + 2 ECTS Credits

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University Microcredential in Neural Networks and Deep Learning with Keras + 2 ECTS Credits

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$69.00
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Duration

50 hours

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Credits

2 ECTS

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Language

Spanish

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Microcredential Degree in Neural Networks and Deep Learning with Keras with 50 hours and 2 ECTS issued by UTAMED-Atlantic Mediterranean Technological University

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Learn from the best in your sector

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carlos alvarez gonzález

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training.

Professional experience:

More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training.

Professional skills:

ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training.

Professional experience:

More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training.

Professional skills:

ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

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Course information

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Course information

Description

Neural Networks and Deep Learning with Keras is a unique opportunity to delve into one of the most dynamic and innovative fields of current technology. In a booming sector, where artificial intelligence is redefining entire industries, the demand for skilled professionals has never been higher. Through this training, you will master the fundamentals of deep learning, understanding how neural networks are revolutionizing the world. You will learn to design neural networks step by step, using essential tools such as loss functions and optimizers. With Keras, one of the most accessible and powerful frameworks, you can create your first model without complications, configuring your environment with TensorFlow.

Job opportunities

- Specialist in artificial intelligence - Developer of deep learning models - Data engineer in technology companies - Data scientist in financial sectors - Consultant in process optimization through AI - Analyst in automation and systems improvement - Researcher in machine learning innovations

What does it prepare you for?

The Neural Networks and Deep Learning training with Keras prepares you to understand and apply the key concepts of neural networks and deep learning. You will learn to design and train artificial intelligence models, in addition to configuring your work environment with TensorFlow and Keras, and building sequential and functional models. Plus, you'll become an expert at loading, cleaning, and preparing data.

Who is it addressed to?

The Neural Networks and Deep Learning training with Keras is aimed at professionals and graduates in computer science, engineering, mathematics or related areas. Ideal for those who want to understand the fundamentals of neural networks, design AI models, and use tools like Keras. It is perfect for updating knowledge in a rapidly evolving field.

Objectives

- Understand neural networks and their impact on current technology. - Identify the structure and functioning of neurons and layers in networks. - Learn the backpropagation process for machine learning. - Design effective neural networks using Keras and TensorFlow. - Select loss functions and optimizers to improve models. - Configure the work environment to develop models with Keras. - Efficiently load and prepare data for network training.

University Microcredential in Neural Networks and Deep Learning with Keras + 2 ECTS Credits

$69.00

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