Benefits |
This course offers the opportunity to develop fundamental skills in Machine Learning applied to Industry 4.0, providing a solid understanding of the basic concepts and principles behind Machine Learning. Participants will learn to differentiate between Artificial Intelligence and Machine Learning, |
Introduction |
This introductory course provides a comprehensive overview of Industry 4.0 and Machine Learning, covering their current relevance and application in various professional fields. It explores the differences between Artificial Intelligence and Machine Learning, along with basic mathematical concepts used in this field. With practical exercises and examples of real-world applications, the course provides a solid foundation for understanding these concepts. It is aimed at beginners in electronic engineering, as well as anyone interested in Industry 4.0 and Machine Learning. |
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Addressed to |
This course is designed for professionals from various sectors and job profiles. Although it will focus primarily on the industrial field for practical examples, it is accessible to anyone interested in the subject. Prior technical knowledge is valued, but is not an essential requirement, as a detailed explanation of the concepts will be provided from the beginning of the course. People interested in these topics. |
Objectives |
The objectives of the course would be:
• Understand the historical context and importance of Industry 4.0 today.
• Differentiate between Artificial Intelligence and Machine Learning, identifying their applications and benefits.
• Acquire basic knowledge of mathematics used in Machine Learning.
• Familiarize yourself with the different types of learning in machine learning techniques.
• Explore the operation of the Q-boost algorithm and its application in practical situations.
• Understand the basic concepts of artificial neural networks and perform practical exercises with them.
• Analyze examples of Industry 4.0 applications and their relationship with Machine Learning.
• Know the steps required to develop a Machine Learning application.
These objectives seek to provide participants with a solid understanding of the fundamentals of Machine Learning and its application in Industry 4.0, preparing them to tackle projects and challenges in this field.
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Contents |
The course covers the following topics:
• Background and history of industry 1.0, 2.0, 3.0 and 4.0.
• What are the pillars of Industry 4.0?
• Differences between Machine Learning and Artificial Intelligence.
• You will learn about the types of learning in Machine Learning.
• You will perform an exercise with the Q Reinforcement Algorithm.
• You will learn the basics of what artificial neural networks are.
• You will perform an exercise with an artificial neural network (practical laboratory).
• We will present two examples of 4.0 applications and their relationship with Machine Learning.
• You will learn the steps to develop a Machine Learning application.
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Type |
Course |
Mode of delivery |
Digital games |
Methodology |
The course is divided into two main parts:
Theoretical Part (50%):
The theory is taught using visual resources such as a blackboard and projector.
Fundamental project concepts are explored, including definitions, objectives, tools and techniques, as well as best practices.
Practical Part (50%):
Guided practices are carried out, which represent half of the course time.
Participants apply the knowledge acquired in real-world scenarios, with a focus on problem solving and the use of algorithms.
This balanced methodology provides an effective combination of theoretical and practical learning, allowing participants to acquire applicable skills and solid knowledge for their professional development.
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Dates |
From 6 / 3 / 2025 to 13 / 3 / 2025 |
Calendar |
Thursday |
TIMETABLE |
From 15:00am to 19:00am |
Duration |
8 hours |
Place |
AIDIMME C / Benjamin Franklin 13 (Technology Park) 46980 Paterna (Valencia) |
Registration |
Open |
Certification |
Certificate of attendance issued by AIDIMME. Minimum attendance of 75% of the teaching hours. |
Cost |
137 € - Non-associated company amount + 21% VAT. Associated company - 13%. Unemployed persons: consult price. *AIDIMME, as the organising entity of FUNDAE, will be able to manage the subsidised part of the course at no additional cost.
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Professors |
| CRESPO TAPIA,JAVIER |
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| Javier has more than 10 years of experience working with data, having led a wide variety of projects in companies of all sizes. He has collaborated with important clients at national and international level, standing out for his ability to lead key initiatives in data management and analysis. |
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INFORMATION AND PRE-REGISTRATIONS
AIDIMME - Training Department
961366070 Phone | Fax: 961366185 e-mail: rigual@aidimme.es | www.aidimme.es |
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Since the NUMBER OF PLACES is LIMITEDIf you are interested in participating in these courses, you must notify us, as soon as possible, by sending the duly completed pre-registration form (one for each attendee), before the indicated date, in order to close participation in it. Admission will be made in order of pre-registration and the company will be notified of its acceptance. |
