Artificial Intelligence

Fundamentals of Artificial Intelligence for Technicians

Course description

This introductory course on Artificial Intelligence is designed for professionals with a technical background who wish to approach the fundamental theoretical concepts of a constantly evolving sector that is increasingly central to modern industry. The objective is to provide a clear and structured overview of the main areas that comprise Artificial Intelligence, such as Machine Learning, Deep Learning, and Generative AI, highlighting their differences, application domains, and real use cases in industrial contexts. The course does not require prior knowledge of AI, but is designed for those familiar with programming or engineering concepts who intend to understand how these technologies can be concretely applied within their work environment. The course also serves as an introduction to more advanced practical courses, as it provides the theoretical foundations necessary to approach them in a conscious and effective manner.

Main Topics

– Brief historical introduction to Artificial Intelligence and essential definitions.
– What is Artificial Intelligence, what are its main subsets, and why it can be useful to integrate it in the industrial field.
– Definition and examples of Machine Learning
– Definition and examples of Deep Learning
– Definition and examples of Generative AI
– Technical focus on classical Machine Learning algorithms and description of use cases
– Technical focus on Deep Learning, definition of Neural Networks, and examples of specific algorithms
– How to choose the right model: evaluation and comparison criteria
– Introduction to Generative AI and overview of the tools available today

Participant profile

The course is recommended for professionals with technical skills (e.g., IT specialists, engineers, data analysts) who wish to learn the theoretical concepts for potential development or practical use of AI-based solutions.

Objectives

The course aims to provide participants with a clear understanding of the fundamental concepts related to Artificial Intelligence, Machine Learning, and Deep Learning. Participants will be guided in understanding the advantages, as well as the limitations, of adopting these technologies.

In particular, the course aims to offer useful tools for:

  • Understanding when it is appropriate to integrate AI in industrial contexts.
  • Evaluating the benefits and challenges associated with adopting AI-based solutions.
  • Acquiring a basic technical language to interface with developers and industry specialists.

Learning outcomes

Participation conditions

No prior knowledge of AI is required.

Cost per participant

600 €

Participants

Min 5

Resources available from PNRR funds, Mission 4 – Component 2 – Investment 2.3:

Micro-Small Enterprises: grants up to 100%
Medium Enterprises: grants up to 80%
Large Enterprises: grants up to 50%

Cost per company

3000 €

Participants

Max 15

Mode

In-person

Duration

12 hours

Level

Introductory

Trainer

CIM

At the end of each course, you will receive a certificate of participation issued by the CIM4.0 Competence Center.
As an implementing body for digital transition, CIM4.0 holds the accreditation certificate from the Piedmont Region for the provision of continuous training. Certificate No.: 1503/001

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