Machine Learning course with Arduino and Tensorflow 2.0

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Machine Learning course with Arduino and Tensorflow 2.0

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$419.00
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Duration

125 hours

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Credits

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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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"Qualification Issued and Endorsed by the European Institute of Business Studies. """"Unofficial Teaching and Not Leading to the Obtaining of an Official Degree or Certificate of Professionalism."

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Scholarships and funding

Make your training more accessible: finance at 0% interest and obtain personalized scholarships.

Scholarships of up to 25%

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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
With this training you will be able to master pattern deciphering, build artificial neural networks or establish correlations based on mastery of this platform. Configure and program the Arduino board with Python step by step to finish executing the script. Take advantage of the flexibility of the TensorFlow architecture to deploy processors within mobile devices or servers in a single API. At INESEM we are committed to the most innovative areas and the use of technology that is making the processes and trajectories of the most ambitious professionals work. Join us and achieve your professional desires with the help of the most qualified professionals committed to the student's efforts.

Job opportunities

With this training you will be qualified to fill positions that are currently in high demand such as data analyst, data scientist, Python developer, data engineer, data analytics or consultant. Its countless applications in areas such as finance, health, marketing or cybersecurity guarantee unlimited professional projection that allows you to achieve your most ambitious professional challenges.

What does it prepare you for?

After completing this training action you will be able to learn about the most popular machine learning system for creating artificial neural networks. You will take a training tour that will allow you to program input and output pins with Arduino, among other tasks, in order to become a professional profile specialized in the construction of analytical models and their countless applications.

Who is it addressed to?

Professionals interested in this course come from areas linked to engineering, mathematics, technology or science. It is also dedicated to professional profiles interested in recycling their knowledge and joining a world in constant evolution that requires constant training.

Objectives

- Record the desired instructions through the programming language that is compatible with Arduino. - Program the input and output pins in C++ from the core or the Arduino API. - Analyze the inputs and the use of analog outputs with Python to understand their management. - Acquire solid knowledge about Machine Learning to analyze and create analytical models. - Use TensorFlow to detect periodic time intervals and predict behaviors. - Generate data sets from the extraction and detection of parameters in Arduino. - Create applications and artificial neural networks step by step through TensorFlow.

Machine Learning course with Arduino and Tensorflow 2.0

$419.00

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