Description

Artificial intelligence is a booming technology today. Threats or opportunities, companies today must master technologies and anticipate the uses that may arise from these technologies in order to find growth drivers or resist the arrival of new entrants. The Information Systems Department, which is at the heart of the implementation of this technology, must ensure both a monitoring and advisory role for businesses and potential users of the technologies. It must also ensure the feasibility of implementing applications at a reasonable cost consistent with the IT architecture defined by the company. This training is intended to give all DSI stakeholders the keys to understanding the challenges, technologies, technical constraints of artificial intelligence and give the keys to DSI stakeholders to support innovation projects calling on this technology.

Who is this training for ?

For whom ?

All IT department players able to support projects integrating artificial intelligence (AI).

Prerequisites

None.

Training objectives

Understand the uses and actors of AI

AI technologies and tools: deep-learning and machine-learning

Integrate AI into information systems

Lead an artificial intelligence project

Training program

• Concepts of Artificial Intelligence (AI)
  • - The different categories of AI.
  • - First applications.
  • - Scenario: Demonstration of Chatbots, Watson, videos.
• AI algorithms and data
  • - Distinguish the main AI algorithms and their use: focus on Machine Learning algorithms and Deep Learning.
  • - The different types of data for AI, their use: focus on Machine Learning data.
  • - Scenario: Application with participant data.
• Uses of artificial intelligence
  • - Know the state of the art in the performance of AI systems in vision, language and robotics.
  • - Understand the role of AI in vision and customer experience. Analysis use cases.
  • - Scenarios: demonstration of the 360 ​​Clikfox system, generating ideas for AI applications in participants' environments.
• Identify the risks associated with AI
  • - Ethics
  • - Safety
• Understand and anticipate the impacts of the use of AI on infrastructures and processes
  • - The architecture of an AI application.
  • - AI Databases.
  • - Impact on the IT system.
• The AI ​​market
  • - The actors of AI
  • - The role of GAFA.
  • - The Villani report.
• Mener and project IA
  • - The approach, methods and tools specific to Artificial Intelligence projects.