Opportunities and challenges : AI | Afi U.
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Opportunities and challenges : AI

Demystify what artificial intelligence is and explore its possibilities. Learn the basics of AI, understand its ecosystems and its design.
Private session

This training is available in a private or personalized format. It can be provided in one of our training centres or at your offices. Call one of our consultants of submit a request online.

Call now at 1 877 624.2344

  • Duration: 0.5 days
  • Regular price: On request

Course outline

Duration : 0,5 days

© AFI par Edgenda inc.

What is artificial intelligence (AI)? What are possible advantages of AI for your organization? What are the important issues to consider?

Through an engaging combination of applied concepts and examples illustrating the possibilities of AI in different industries, this training will present the reality of AI technologies today and demonstrate how they can be utilized.
You will be introduced to the basic concepts of AI and of its subdomains. Furthermore, an overview of key AI technologies will help you understand the systemic approach to AI product design, the essential factors needed for success and the important role of data.
Throughout the course, participants will have the opportunity to apply their new knowledge through practical exercises based on case scenarios.

Audience

This training is open to anyone wanting an overview of AI

Prerequisites

None

Objectives

After completing this training, you will be able to:

  • Identify the different domains of AI and appreciate its many applications
  • Identify emerging ecosystems in AI
  • Understand the AI design process
  • Understand the importance of acquiring quality data
  • Identify opportunities for AI use in your organization

Teaching method

A lecture approach, combined with practical examples and exercises, will facilitate a good understanding of AI and all of its possibilities.

Contents

Definition and Concepts

  • Definition and history of AI
  • Domains of AI and examples of its uses
  • The AI design process
  • AI: how to evaluate the possibilities?
  • Potential issues related to data usage, accountability and transparency
  • AI and potential discrimination