COURS.

APERÇU

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

• Understand the fundamentals of AI, including its definition, history, and the distinction between weak AI and strong AI.
• Identify and explain the main AI techniques such as machine learning, neural networks, deep learning, natural language processing, and computer vision.
• Recognize practical applications of AI in various sectors like social networks, healthcare, and engineering, and understand how these technologies are transforming these fields.

Description
This webinar offers a comprehensive introduction to artificial intelligence, aimed at providing a solid understanding of key concepts, techniques, and applications of AI. The webinar will delve into the main AI techniques, detailing areas such as machine learning, deep learning, natural language processing, and computer vision. Finally, we will examine how AI is applied in various sectors, illustrating its impact and potential with concrete examples.

This webinar is designed to give participants a complete and accessible understanding of AI and its multiple facets.

Who Should Attend
This webinar is intended for a wide range of participants, including professionals from various sectors, and anyone interested in AI and wanting to learn more about its fundamental principles & practical applications. No prior knowledge in programming or AI is required, making it ideal for beginners, as well as those looking to enrich their existing knowledge in the field of AI.

Horaire : 12:00 PM - 1:30 PM EDT

Exigences techniques

Pour les utilisateurs de PC
OS: Windows 7, 8, 10 ou plus récent

Navigateur :
IE 11 ou plus récent, Edge 12 ou plus récent, Firefox 27 ou plus récent, Chrome 30 ou plus récent

Pour les utilisateurs de Macintosh
OS: MacOS 10.7 ou plus récent

Navigateur :
Safari 7+, Firefox 27+, Chrome 30+

iOS
OS: iOS 8 ou plus récent

Android
OS: Android 4.0 ou supérieur

voir le programme complet

PROGRAMME

• Understanding AI
  - Definition and History of AI
  - Types of AI: Weak AI vs Strong AI
• Main AI Techniques
  - Machine Learning
  - Neural Networks and Deep Learning
  - Natural Language Processing (NLP)
  - Computer Vision
• Practical Applications of AI:
  - Examples in various sectors (social networks, healthcare, engineering, etc.)

FORMATEUR

Hossein Bonakdari, Ph.D., P.Eng.

Hossein Bonakdari, Department of Civil Engineering Engineering, Ottawa University.

Hossein Bonakdari has worked for several organizations, most recently as a faculty member of the Department of Civil Engineering at the University of Ottawa, Ontario. He has supervised several Ph.D. and MSc students with teaching experience of more than 16 years in the field of Artificial Intelligence application in Civil and Environmental Engineering.

His fields of specialization and interest include the practical application of soft computing techniques in engineering problems. Results obtained from his research have been published in more than 300 papers in international journals (h-index=53). He has also had more than 150 presentations at national and international conferences. He published three books. Dr. Bonakdari's exceptional research achievements have garnered global recognition, consistently placing him in the top 2% of the world's top scientists across various fields for four consecutive years (2019-2023).

Dr. Bonakdari is currently leading several research projects in collaboration with industrial partners.