Solution design :AI | Afi U.
Arrow leftBack to catalogue

Solution design :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: 1 day
  • Regular price: On request

Course outline

Duration : 1 day

© AFI par Edgenda inc.

What is artificial intelligence (AI)?

What does this mean for public and private affairs?
How can your organization benefit from AI?
Through an engaging combination of applied concepts, examples of key technologies and examples of uses of AI in business, this training will present the reality of AI technology today and demonstrate how it can be used to meet a current or future business need.
Focusing on key AI technologies — such as machine learning and deep learning, image processing and natural language processing, as well as AI’s role in robotics — this course will help you understand how AI can support business and service strategies, as well as the inherent economic and societal opportunities related to AI.
At the end of this training, you will understand how to use AI in your digital solutions design processes in order to implement governance, combine it with the right resources and evaluate its performance.

Audience

Public and private sector business managers and architects

Prerequisites

None

Objectives

Participants will explore AI: the practical opportunities it offers, its different domains, its governance, its prerequisites, the design process and implementation of an AI product, its future and the importance of ethics in AI.

More importantly, they will understand the fundamental differences between the design process of an AI solution and that of an information system.

Lesson plan

Part one:

  • AI concepts and definition
  • Domains of AI and practical examples of its uses
  • Essential factors for success
  • The governance of AI in an organization
Part Two:
  • The 6 stages of designing and implementing an AI product
  • Significant differences between AI solution design and information system design
  • AI ethics
  • The future of AI

Teaching Method

During the course, participants will have the opportunity to apply their new knowledge to practical case-scenario exercises, individually and as a group.
Workshops and lectures: 35/65

Content

Introduction to AI

Context and history
• Concepts and definition
• The different domains of AI illustrated by real cases
The 6 stages of designing an AI solution
  1. Define product goals
  2. Establish criteria for data and data access
  3. Assign responsibilities for the design and development (profiles, expertise, roles, etc.)
  4. Elaborate new processes and manage change
  5. Plan for validation and continuous training of the AI model
  6. Assess the commercial value of the AI solution
Significant differences between AI solution design and information system design
Beyond the 6 stages of designing an AI solution, we will take a step-by-step look at the differences between AI solution design and information system design.
  • Analysis of AI maturity
  • Approach to needs identification
  • 21 questions to help identify the best AI model
  • AI business case analysis (data-driven)
  • AI solution design and development/implementation team (RACI)
  • AI solution maintenance/sustainability and evolution
AI ethics
  • The basic premises in AI ethics
  • Understanding the potential ethical issues associated with an AI solution
    - Black box vs glass box
    - Data sharing and correlation
    - Discrimination or inequity (bias)
    - Etc.
The future of AI
  • Future developments: What can we expect?
  • How to prepare your organization in order to maximize the use of AI