Course Catalogue.

After participating in this webinar, you will be able to:

• Understand the crucial importance of data in the development of artificial intelligence, particularly regarding the role of data in model learning.
• Master basic techniques of descriptive statistics and their importance in data analysis for AI.
• Interpret and validate AI model results using statistical analysis methods to ensure model reliability and efficiency.

Description
This webinar aims to provide a deep understanding of the importance of data and statistical calculations in the field of artificial intelligence. Special attention will be given to basic techniques of descriptive statistics to analyze and interpret data effectively. We will also discuss how to visualize data to facilitate understanding and communication of results.

Finally, participants will learn to analyze and validate AI model results, a key skill to ensure the accuracy and usefulness of AI applications.

Who Should Attend
This session is ideally designed for professionals and engineers who wish to deepen their understanding of AI, while being accessible and beneficial for anyone interested in the practical application of artificial intelligence in various fields including:

• Chemical Engineering
• Civil Engineering
• Environmental Engineering
• General Engineering

Course Syllabus

Syllabus:

• Importance of data in AI
  - Role of data in model learning
  - Types of data: structured vs unstructured
  
• Basic statistical techniques for AI
  - Descriptive statistics
  
• Interpretation of results
  - Analysis and validation of model results