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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

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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