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52 - MISC - Miscellaneous Courses

MISC 230 - Artificial Intelligence for Business

Code Start Date Duration Venue
MISC 230 18 September 2023 5 Days Istanbul Registration Form Link
MISC 230 13 November 2023 5 Days Istanbul Registration Form Link
MISC 230 18 December 2023 5 Days Istanbul Registration Form Link
Please contact us for fees


Course Description

This course is a strong introduction to Artificial Intelligence (AI) used in business, with a view for management who wants to explore incorporation of latest developments in their corporate arsenal. AI is increasingly becoming a key competitive adventage in industry with applications used in areas of marketing, management decisions, product development, finance, human resources and other essential functions of a company. This course aims to make participants understand what AI can do for them, how it can be used in various fields and what steps are to be taken to deploy AI in the organization within project management, legal and ethical concerns. It aims to touch all fundamental areas of the field and give a solid idea what directions to be taken.

Course Objectives

  • Being able to assess areas of AI to make a decision
  • Learning how to apply that to different areas in your own line of business
  • Planning AI transformation projects in specific fields
  • Understanding the future competitive pressures in your industries

Who Should Attend?

  • Strategic planners
  • Division or function managers
  • IT experts and integrators
  • Managers 

Course Details/Schedule

Day 1

  • Introduction to Artificial Intelligence (AI)
  • What qualifies as AI
  • Business applications
  • Autonomous agents
  • Robotics and unmanned vehicles

Day 2

  • Major categories in AI
  • Logic and rule-based systems
  • Decision Support Systems
  • Fuzzy Logic fundamentals
  • Data Mining and Business Intelligence

Day 3

  • Fundamentals of Artificial Neural Networks
  • Application of ANN on business cases
  • ANN and Deep Learning
  • Software tools for ANN at business environment
  • Deep Learning impact on industries

Day 4

  • Corporate AI projects
  • Software selection and deployment
  • Initilisation and training data preparation
  • Laws and legal environment
  • AI project management in steps

Day 5

  • What AI should not be expected
  • Case studies in selected business areas
  • Employee dimention in AI
  • Ethical concerns
  • The future of AI in society and business