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DATA SCIENCE
INTRODUCTORY COURSES

AI for Industry

LEVEL
Introductory courses


DURATION
8 hours


TRAINER
CIM4.0


MODE
In the presence


PRICE

Description

This course is designed, and delivered, as part of the catalog of offerings “Lifelong Learning Initiatives” of the PNRR Ecosystem of Innovation Project “NODES - Northwest Digital And Sustainable”. The subjects covered have been evaluated as capable of producing a considerable impact in terms of the territories and industrial systems intercepted and generates the possibility of increasing the ability to share skills by creating a network of value in the territory.

 

 

The goal of the course is to raise awareness on the topic of Artificial Intelligence by providing tools for decision makers useful for reasoning, and thus offering a high-level perspective to the industrial approach towards Artificial Intelligence.
The course traces and expands on the topics covered in the book published by CIM4.0 “Artificial Intelligence for Industry: scenarios and guidelines for Made in Italy companies.”

AI is a technology capable of revolutionizing human life and the industrial context. Within the course, we will explore the roots of the discipline and show how it has a major impact in the industrial context, particularly in the manufacturing sector.
The course is delivered through lectures divided into two modules.

Macro Topics

  • Industrial Revolution
  • Lean manufacturing
  • WCM
  • Artificial Intelligence
  • Machine Learning
  • Generative AI
  • Success stories

 

  1. What is AI:

    • Artificial Intelligence definition
    • Machine Learning definition
    • Deep Learning definition
    • Definition Generative AI
    • Large Language Model definition

  2. Machine Learning and Deep Learning Models:

    • Linear Regression
    • Logistic Regression
    • SVM/KNN
    • Etc

  3. AI prerequisites.

    • BigData
    • Skills
    • Datapipelines

  4. Generative AI

    • What changes from AI
    • Who are the vendors?
    • What are the barriers to entry

  5. Industry and AI:

    • Market value of artificial intelligence
    • Most impacted sectors
    • Applications in manufacturing

      • Quality control
      • Predictive maintenance
      • Etc

  6. Limitations and Challenges of AI in Industry

    • When you can't use
    • Features that are needed to use it (HPC, change management)
    • When you misuse it what can happen

  7. Regulation

    • GDPR
    • AI Act
    • US Executive Order

  8. Stories/History of success
  9. Recommendations

Trainee’s Profile

Managers and Executives

Pre-Requirements

None.

Objectives

This course aims to provide the minimum skills to properly frame the Artificial Intelligence revolution within the industrial context. Starting with the history of industrial revolutions, it will provide basic concepts that go to cover both the technical, economic and strategy aspects that Artificial Intelligence, by its pervasive nature, touches.

More info

English language available upon request.
The subscription must be carried out within the fifth working day preceding the course starting date.

Pre-registration

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