AI Essentials

Service description

MODULE 1: INTRODUCTION TO AI
Definition and delimitation of terms
History of Artificial Intelligence
Examples of use: Potentials and Red Flags
Ethical issues in the application of Artificial Intelligence
State-of-the-art AI methods e.g. classification, clustering, regression, etc.
Takeaway: Basic knowledge on the topic and on currently emerging innovations as well as an overview of relevant methods. Participants will be able to identify which approaches are relevant for use cases and suitable for solving problems or fulfilling requirements.


MODULE 2: PRACTICE DAY
Presentation of exemplary positive and negative examples
Hands-on development of AI application scenarios

Type of methodology: Combination of lecture and hands-on

Participants receive the certificate of attendance: Yes

Paid training activity for participants: Yes, for all

Participants prerequisite knowledge: No prerequisite knowledge

 

Category
Training events
Service valid until
Audience
Research and Academia
Industry
Location category
Language
English
Technical Domain
Artificial intelligence, machine and deep learning
Initiative
Castiel and EuroCC
Country