Deep Learning Course for Computer Vision and NLP + 8 ECTS Credits

UNIVERSITY COURSE 100% On-line

Deep Learning Course for Computer Vision and NLP + 8 ECTS Credits

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$303.00
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Duration

200 hours

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Credits

8 ECTS

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Language

Spanish

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Agenda

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At the end of the course, you will obtain the accredited qualification

This is not just about learning, but also about accrediting your knowledge with the most important institutions in the sector:

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Deep Learning Course Qualification for Computer Vision and NLP with 200 hours and 8 ECTS issued by UTAMED-Atlantic Mediterranean Technological University.

+20 years

boosting learning

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+2M

millions of students around the world

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Scholarships and funding

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Scholarships of up to 25%

+500

specialized courses in EducaHub

Cloister

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
The Deep Learning Course for Computer Vision and NLP is your gateway to a booming sector with high job demand. Artificial intelligence is transforming industries and redefining the way we interact with technology. With this course, you will explore from the fundamentals of Deep Learning to advanced techniques in computer vision and natural language processing (NLP). You will learn about convolutional and recurrent neural networks, and you will immerse yourself in the world of Transformers, the paradigm shift in NLP. The course will provide you with the necessary skills to stand out in a competitive market and will prepare you to contribute to the development of innovative solutions in the technological field.

Job opportunities

The main professional opportunities of this Deep Learning Course for Computer Vision and NLP are in areas such as Computer Vision engineering, specialist in Natural Language Processing implementing models for text analysis and chatbots, development of artificial intelligence integrating multimodal solutions that combine image and text, among others.

What does it prepare you for?

This Deep Learning Course for Computer Vision and NLP prepares you to design and apply advanced Deep Learning models in computer vision and natural language processing. You will learn to implement convolutional neural networks to interpret images, and to use techniques such as recurrent networks and transformers to analyze text. Additionally, you will understand how to combine images and text in multimodal applications.

Who is it addressed to?

The Deep Learning for Computer Vision and NLP course is aimed at technology professionals and graduates interested in expanding their knowledge in convolutional neural networks, natural language processing and advanced techniques in computer vision. This course is ideal for those looking to update themselves on trends such as Transformers.

Objectives

- Understand the operation of neural networks in computer vision. - Analyze the use of CNNs to improve visual perception in images. - Apply advanced computer vision techniques in projects. - Explore the fundamentals of natural language processing. - Implement LSTM networks to improve text analysis. - Use transformers in natural language processing. - Integrate pre-trained models like BERT into real applications.

Deep Learning Course for Computer Vision and NLP + 8 ECTS Credits

$303.00

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