OM-SCM011

Artificial Intelligence and Machine Learning in SCM

INTRODUCTION

As global supply networks become increasingly complicated, a break in one connection can have a substantial impact on other sectors. It is critical to have systems and processes in place to mitigate the probability and consequent effect of supply chain difficulties. We will discover how advanced technologies such as artificial intelligence and machine learning facilitate connection and supply chain visibility in this course. As a result, more firms are use them to avoid and overcome supply chain difficulties.

 

COURSE METHODOLOGY

This course is designed in the form of workshop which will includes a variety of learning tools to help participants function effectively and efficiently in a multifunctional environment through various methodologies including;

  • Short lectures
  • Brainstorming
  • Case studies
  • Group activities
  • Role playing

 

COURSE OBJECTIVES

The attendees of this Certificate Program will be able to:

  • Understands what is AI and machine learning
  • Benefits of AI and machine learning in SCM
  • How machine learning is better for utilization of resources
  • How AI and machine learning are beneficial for suppliers management

 

WHO SHOULD ATTEND THIS COURSE?

  • Supervisors involved in SCM
  • Business professionals
  • Managers involved in SCM
  • Employees who want to gain new skills and knowledge to improve their career in SCM

 

TARGETED SKILLS

  • Supply chain management
  • Inventory optimization
  • Dealing with suppliers
  • AI
Course Code: OM-SCM011 Category:

Available Options

LocationLanguageMode of TrainingDurationDate 
OnlineEnglishVirtual5 Days3-7 Mar 2024
Kuwait (Kuwait City)EnglishFace-to-Face5 Days24-28 Mar 2024
Ghana (Accra)EnglishFace-to-Face5 Days10-14 Mar 2024
Maldives (Male)EnglishFace-to-Face5 Days17-21 Mar 2024
Egypt (Cairo)EnglishFace-to-Face5 Days10-14 Mar 2024
India (New Delhi)EnglishFace-to-Face5 Days10-14 Mar 2024
Qatar (Doha)EnglishFace-to-Face5 Days24-28 Mar 2024
UAE (Dubai)EnglishFace-to-Face5 Days24-28 Mar 2024
Bahrain (Manama)EnglishFace-to-Face5 Days17-21 Mar 2024
Russia (Moscow)EnglishFace-to-Face5 Days24-28 Mar 2024
India (Mumbai)EnglishFace-to-Face5 Days17-21 Mar 2024
Oman (Muscat)EnglishFace-to-Face5 Days3-7 Mar 2024
Singapore (Singapore City)EnglishFace-to-Face5 Days17-21 Mar 2024
Armenia (Yerevan)EnglishFace-to-Face5 Days10-14 Mar 2024
Azerbaijan (Baku)EnglishFace-to-Face5 Days3-7 Mar 2024
Location

Armenia (Yerevan), Azerbaijan (Baku), Bahrain (Manama), Egypt (Cairo), Ghana (Accra), India (Mumbai), India (New Delhi), Maldives (Male), Oman (Muscat), Qatar (Doha), Russia (Moscow), Singapore (Singapore City), UAE (Dubai), Kuwait (Kuwait City), Online

Language

English

Mode of Training

Face-to-Face, Virtual

Duration

5 Days

Date

1-5 Oct 2023, 10-14 Dec 2023, 10-14 Mar 2024, 11-15 Jun 2023, 12-16 Nov 2023, 14-18 May 2023, 17-21 Mar 2024, 19-23 Feb 2023, 19-23 Mar 2023, 19-23 Nov 2023, 2-6 Apr 2023, 21-25 Jan 2024, 21-25 May 2023, 24-28 Mar 2024, 26 Feb-2 Mar 2023, 26-30 Mar 2023, 26-30 Nov 2023, 3-7 Mar 2024, 4-8 Jun 2023, 5-9 Mar 2023, 7-11 Jan 2024, 9-13 Apr 2023