Course Description

The AI for Supply Chain Certification offers an in-depth exploration of how Artificial Intelligence (AI) is transforming supply chain management. Covering everything from basic concepts to advanced applications, the course highlights AI-driven solutions for supply chain optimization, including leveraging generative AI for developing innovative strategies, digitizing supply chain operations, and managing logistics efficiently. Participants will also explore AI applications designed for specific industries and engage in a hands-on workshop to address real-world supply chain challenges with AI technologies. Get ready to lead the way in AI-driven supply chain innovation.

Course Objectives

  • Learn how to leverage AI technologies to digitize and automate operations, enabling data-driven decision-making and boosting operational efficiency.
  • Gain expertise in applying AI for logistics planning, transportation, and warehousing, ensuring cost reduction and streamlined operations.
  • Understand how to use machine learning and predictive analytics for effective demand forecasting, inventory management, and logistics coordination.
  • Master the use of intelligent SCM systems powered by AI to monitor, automate, and optimise supply chain functions in real-time.

Who Should Attend?

Retail, manufacturing, and logistics teams can significantly benefit from AI-driven supply chain improvements.

Course Agenda

   Module 1: Introduction to Artificial Intelligence in Supply Chain

  1.1 Overview of Artificial Intelligence in Supply Chain Management (SCM)

  1.2 Transforming Supply Chains with AI

  1.3 Ethical Implications of AI in Supply Chains

  Module 2: Advanced AI Techniques for Supply Chain

  2.1 Machine Learning in Supply Chain

  2.2 Expert Systems in SCM

  2.3 Integrating Images and Text in Supply Chain AI

  Module 3: Generative AI in Supply Chain Management

  3.1 The Origin of Generative AI

  3.2 Generative AI in Revenue Management and Demand Forecasting

  3.3 Transformer and LSTM Architectures in Generative AI

  Module 4: Supply Chain Digitization

  4.1 Introduction to Supply Chain Digitization

  4.2 Supply Chain Integration and Push-Pull Strategies

  4.3 Supply Chain Resiliency, Planning and Sustainability

  Module 5: Intelligent Driven Supply Chain Management

  5.1 Introduction to Smart SCM

  5.2 Employing Smart SCM and Prompt Engineering

  5.3 Future Trends of Smart SCM

  Module 6: Industry Aspects of Advanced SCM

  6.1 Introduction to Industrial SCM

  6.2 Business Value from AI and Gen AI in Supply Chain

  6.3 Risks and Challenges of Adopting AI and Gen AI in Industrial SCM

  Module 7: Policies of Logistics Management in Supply Chain with AI

  7.1 Role of Supply Chain Management in the Organization

  7.2 Warehousing Strategy for Efficient Supply Chain Management

  7.3 Technical Coverage of SCM with Multi-Dimensional Aspects

  Module 8: Supply Chain Masterclass with AI Assistance

  8.1 Supplier Selection and Relationship Management with AI

  8.2 Mastering Advancements in SCM with Modern Artefacts

  Optional Module: AI Agents for Supply Chain

  What Are AI Agents

  What Are AI Agents in Logistics and Supply Chain

   Applications & Trends of AI Agents in Supply Chain

  How Does an AI Agent Work

  Core Characteristics of AI Agents

  Key Advantages of AI Agents in Logistics and Supply Chain

  Types of AI Agents

Assessment Methodology

All courses conducted by EdTech will begin with a Pre-evaluation and end with a Post-evaluation. The instructor will evaluate the knowledge and skills of the participants according to the feedback given by participants. This will help to recognize the benefits and the level of knowledge gained by participants through the course.

Training Methodology

Facilitated by a highly qualified specialist, who has extensive knowledge and experience; this program will be conducted using extensively interactive methods, encouraging participants to share their own experiences and apply the program material to real-life work situations in order to stimulate group discussions and improve the efficiency of the subject coverage.

Percentages of the total course hour classification are:

  • ​40% Theoretical lectures, Concepts and approach
  • 20% Motivation to develop individual skill and Techniques
  • 20% Case Studies and Practical Exercises
  • 20% Topic General Discussions and interaction

Course Manual

Participants will be provided with comprehensive presentation material as reference manual. This presentation material is a compilation of core valuable information, references, presentation methods and inspiring reading which will be used as a part of the material guide.

Course Certificate

At the completion of the course, all participants who successfully accomplished the required contact hours will receive an EdTech Training Participation Certificate as a testimony to their commitment to professional development and further education.

Why Edtech ?

  • Industry Experienced; Internationally Qualified Trainers
  • Hands-on Practical Sessions & Assignments
  • Intensive Study materials
  • Flexible Schedules
  • Realistic training methodology
  • High-Quality Training in Affordable Course Fees
  • Achievement Certificate, as approved by the Ministry of Education (Abu Dhabi Center for Technical and Vocational Education Training - ACTVET), HABC, AWS, IAOSHE, SHRM, etc.