Arduino Machine Learning course: Machine Learning course with Arduino and Tensorflow 2.0

With this formation you will be trained to dominate the decipher of patterns, build artificial neuronal networks or establish correlations from the domain of this platform. Configure and program with Phyton the Arduino Plate step by step to end with the execution of the script. Extracts the benefits that the flexibility of Tensorflow architecture facilitates to implement processors within mobile devices or servers in a single API. In Inesem we bet on the most innovative areas and the use of the technology that the processes and trajectories of the most ambitious professionals are operating. Join us and reach your professional desires by the most qualified professionals and committed to the student's effort

- Record through the programming language that is compatible with Arduino those instructions desired. - Program in C ++ the input and exit pins from the Core or the Arduino API. - Analyze the entrances and the use of analigic outputs with Phyton to understand their handling. - 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 artificial neuronal applications and neural networks through tensorflow.

With this training you will be trained to occupy positions that are currently highly demanded as a data analyst, Data Scientist, Phyton Developer, Data Engineer, Data Analytics or Consultant. Its innumerable applications in areas such as finance, health, marketing or cybersecurity guarantee a professional projection without limits that allow you to achieve your most ambitious professional challenges.

After the completion of this training action you can know the most popular automatic learning system in the creation of artificial neuronal networks. You will take a training tour that will allow you to program entry and exit with Arduino, among other tasks, in order to become a professional profile specialized in the construction of analytical models and their innumerable applications.

The professionals interested in this course have as its origin the 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.

This training is not included in the scope of official regulated training (Infant Education, Primary Education, Secondary Education, Official Professional Training FP, Baccalaureate, University Degree, Official University Master and PhD). It is therefore a complementary and/or specialization training, aimed at acquiring certain skills, skills or aptitudes of a professional nature, being able to be barely as merit in workbags and/or opposition competitions, always within the complementary training section and/or continuous training being always essential to review the specific requirements of the public labor stock of the public labor stock market.