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AI course in the Internet of Things + 8 ECTS Credits (Baremable in Oppositions*)

Add points to your scale with this training

Baremable course in oppositions and transfer competitions (consult the official bases)
Qualification valid as merit in public selective processes
Designed in accordance with current state regulations, R.D. 276/2007 (it is essential to consult the bases of your CC. AA.).

$306.00

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Duration

200 hours

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Credits

8 ECTS

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Language

Spanish

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No limit

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Agenda

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Credit your success

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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AI Course Qualification in the Internet of Things with 200 hours and 8 ECTS issued by UTAMED-Atlantic Mediterranean Technological University. * Course baremable in oppositions, always subject to the rules of the call, and current regional legislation.

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rogelio delgado mingorance

Industrial Technical Engineer, specializing in Electricity, and Industrial Organization Engineer from the University of Jaén, he also has a Master's Degree in Project Management and Management. He began his professional career as a design engineer and construction manager in industrial facilities, developing technical projects and supervising the execution of works in the industrial field. Subsequently, he oriented his career towards the field of training, where he has developed extensive experience as a teacher both in person and online, teaching courses in areas related to engineering, industry, management, facilities and renewable energies.

Teaching experience

Teacher in face-to-face and online training:

Teaching courses in areas of engineering, industry, management, facilities and renewable energies

Professional experience

Project engineer and construction manager in industrial facilities:

Development of technical projects in the industrial field

Management and supervision of works in industrial facilities

Professional Skills:

Highlights include project management in industrial facilities, technical training in engineering and industry, project management and direction (Project Management), and the development and supervision of industrial facilities and systems linked to renewable energies.

Industrial Technical Engineer, specializing in Electricity, and Industrial Organization Engineer from the University of Jaén, he also has a Master's Degree in Project Management and Management. He began his professional career as a design engineer and construction manager in industrial facilities, developing technical projects and supervising the execution of works in the industrial field. Subsequently, he oriented his career towards the field of training, where he has developed extensive experience as a teacher both in person and online, teaching courses in areas related to engineering, industry, management, facilities and renewable energies.

Teaching experience

Teacher in face-to-face and online training:

Teaching courses in areas of engineering, industry, management, facilities and renewable energies

Professional experience

Project engineer and construction manager in industrial facilities:

Development of technical projects in the industrial field

Management and supervision of works in industrial facilities

Professional Skills:

Highlights include project management in industrial facilities, technical training in engineering and industry, project management and direction (Project Management), and the development and supervision of industrial facilities and systems linked to renewable energies.

Información adicional del UNIVERSITY COURSE

AI course in the Internet of Things + 8 ECTS Credits (Baremable in Oppositions*)

Baremable Oppositions

6 months de tutorización

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The Internet of Things (IoT) is revolutionizing the way we interact with our environment, generating a massive volume of data that Artificial Intelligence can transform into knowledge. The AI in the Internet of Things course immerses you in the convergence of these technologies, key to the development of innovative solutions. You will learn how to deploy advanced Machine and Deep Learning models directly on edge devices. From sensor data analytics to robotic automation, this course prepares you to design and manage intelligent systems in sectors such as industry, health or cities. You will leverage cutting-edge platforms and tools, including Google Cloud IoT Core and Edge TPU capabilities.

Upon completion of this training, a wide range of job opportunities will open up to you in the convergence between connected devices and intelligent algorithms. You will acquire specific skills that will enrich your resume, allowing you to stand out in selection processes to apply for roles such as IoT Data Analytics Specialist, Edge AI Developer, Industrial Digital Transformation Consultant or Autonomous Systems Engineer. On the other hand, if your objective is Public Administration, this university accreditation allows you to stand out in selective processes, since it is valid to be evaluated in calls for oppositions and competitions for the provision of positions in areas of technological innovation and modernization. (Important: The validity and the final calculation of merits will be subject to what the official rules of the contest or the regulations of the corresponding Autonomous Community dictate).

After completing the AI in the Internet of Things course, you will be able to design and implement advanced solutions that integrate Artificial Intelligence directly into IoT devices. You will prepare to optimize data processing at the edge, develop real-time computer vision applications, efficiently manage energy and infrastructure, and build robotic and autonomous systems.

The AI in the Internet of Things course is aimed at engineering professionals and developers with prior knowledge in AI or IoT who seek to specialize in the convergence of both disciplines. It is ideal for those interested in applying Machine Learning on edge devices or creating autonomous systems. It is also a key training for those seeking to increase their score on the merit scale of competitions and transfer competitions. Thanks to its university nature, it is aimed at candidates who need to add decisive points in their call (subject to the contest rules and regional regulations).

- Understand the advanced integration of AI and IoT in connected systems. - Apply Machine Learning at the edge for IoT data processing. - Develop computer vision solutions for smart devices. - Optimize energy and infrastructure management with AI and IoT. - Integrate AI into robotics and autonomous systems for IoT applications. - Design and implement security and privacy strategies in AI-IoT environments.

AI course in the Internet of Things + 8 ECTS Credits (Baremable in Oppositions*)

$306.00

AI course in the Internet of Things + 8 ECTS Credits (Baremable in Oppositions*)

Agenda

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

Learn from the best in your sector

Course information

Course information

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