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AI+ Supply Chain™

Transforming Supply Chain Management

AI+ Supply Chain course provides a thorough examination of how Artificial Intelligence (AI) is changing supply chain management, covering basic concepts up to advanced uses. It includes key subjects like AI methods for improving supply chains, the impact of generative AI on developing strategies, and the digitalization of supply chain operations. The course also delves into decision-making guided by AI, applications specific to various industries, and the incorporation of AI into managing logistics. The last module offers a practical workshop where participants can utilize AI concepts for actual supply chain problems, getting them ready to spearhead AI-based advancements in their companies.

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Prerequisites

  • Foundational knowledge of supply chain concepts, processes, and operations.
  • A general understanding of Artificial Intelligence, including machine learning and data analytics, is recommended.
  • Prior experience with business management or technical tools, such as ERP systems or data analysis software, will be beneficial.
  • Strong analytical and problem-solving skills are essential to understand and apply AI-driven techniques in supply chain scenarios.

Modules

8

Examination

1

50 MCQs

90 Minutes

Passing Score

70%

Certification Modules

  1. 1.1 Overview of Artificial Intelligence in Supply Chain Management (SCM)
  2. 1.2 Transforming Supply Chains with AI
  3. 1.3 Ethical Implications of AI in Supply Chains
  1. 2.1 Machine Learning in Supply Chain
  2. 2.2 Expert Systems in SCM
  3. 2.3 Integrating Images and Text in Supply Chain AI
  1. 3.1 The Origin of Generative AI
  2. 3.2 Generative AI in Revenue Management and Demand Forecasting
  3. 3.3 Transformer and LSTM Architectures in Generative AI
  1. 4.1 Introduction to Supply Chain Digitization
  2. 4.2 Supply Chain Integration and Push-Pull Strategies
  3. 4.3 Supply Chain Resiliency, Planning and Sustainability
  1. 5.1 Introduction to Smart SCM
  2. 5.2 Employing Smart SCM and Prompt Engineering
  3. 5.3 Future Trends of Smart SCM
  1. 6.1 Introduction to Industrial SCM
  2. 6.2 Business Value from AI and Gen AI in Supply Chain
  3. 6.3 Risks and Challenges of Adopting AI and Gen AI in Industrial SCM
  1. 7.1 Role of Supply Chain Management in the Organization
  2. 7.2 Warehousing Strategy for Efficient Supply Chain Management
  3. 7.3 Technical Coverage of SCM with Multi-Dimensional Aspects
  1. 8.1 Supplier Selection and Relationship Management with AI
  2. 8.2 Mastering Advancements in SCM with Modern Artefacts

Certification Modules

  1. 1.1 Overview of Artificial Intelligence in Supply Chain Management (SCM)
  2. 1.2 Transforming Supply Chains with AI
  3. 1.3 Ethical Implications of AI in Supply Chains
  1. 2.1 Machine Learning in Supply Chain
  2. 2.2 Expert Systems in SCM
  3. 2.3 Integrating Images and Text in Supply Chain AI
  1. 3.1 The Origin of Generative AI
  2. 3.2 Generative AI in Revenue Management and Demand Forecasting
  3. 3.3 Transformer and LSTM Architectures in Generative AI
  1. 4.1 Introduction to Supply Chain Digitization
  2. 4.2 Supply Chain Integration and Push-Pull Strategies
  3. 4.3 Supply Chain Resiliency, Planning and Sustainability
  1. 5.1 Introduction to Smart SCM
  2. 5.2 Employing Smart SCM and Prompt Engineering
  3. 5.3 Future Trends of Smart SCM
  1. 6.1 Introduction to Industrial SCM
  2. 6.2 Business Value from AI and Gen AI in Supply Chain
  3. 6.3 Risks and Challenges of Adopting AI and Gen AI in Industrial SCM
  1. 7.1 Role of Supply Chain Management in the Organization
  2. 7.2 Warehousing Strategy for Efficient Supply Chain Management
  3. 7.3 Technical Coverage of SCM with Multi-Dimensional Aspects
  1. 8.1 Supplier Selection and Relationship Management with AI
  2. 8.2 Mastering Advancements in SCM with Modern Artefacts

Exam Objectives

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Supply Chain Digitization

Learners will gain skills in applying AI to digitize and automate supply chain operations, enhancing overall efficiency and enabling data-driven decision-making.

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AI for Logistics Management

Expertise in integrating AI to enhance logistics planning, warehousing, and transportation, leading to streamlined operations and cost reduction.

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Smart Supply Chain Management (SCM)

Learners will acquire knowledge of intelligent SCM systems powered by AI, enabling real-time monitoring, automation, and optimization of supply chain functions.

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AI-Driven Supply Chain Optimization

Ability to implement AI techniques such as machine learning and predictive analytics to optimize supply chain processes, including demand forecasting, inventory management, and logistics.

Career Opportunities Post-Certification

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Supply Chain Automation Specialist

Focuses on automating supply chain functions such as procurement, logistics, and inventory management through AI-powered tools.

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AI Supply Chain Strategist

Develops and implements AI-driven strategies to improve supply chain efficiency, cost-effectiveness, and resilience.

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Supply Chain Data Scientist

Utilizes AI and data analytics to gather insights from supply chain data, predicting trends, optimizing performance, and solving operational challenges.

Hear it from the Learners

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Marc H

Happy to share I've completed the AI+ Executive Certification from AI CERTs! This program has sharpened my skills in strategic AI application + implementation, further equipping me to lead AI-driven organizational transformation.

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Georgia L

As VP Operations, my recent completion of the AI+ Executive exam through AI CERTs was a pivotal step in advancing my AI skill set as we embrace an AI-driven future. This certification not only deepened my understanding of AI's broad impact across various divisions but also equipped me with the tools to make informed, strategic decisions.

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Antonio C

AI+ Executive™ Instructor Guide Certificate. Today, I am part of the team of #CompuEducación instructors to teach the #AI CERTs AI+Executive certification course . This 8-hour course is a new standard for business leaders who want to start a solid path in the adoption of AI for the transformation of their companies. The technological, business, ethical, legal and strategy foundations are covered. The examples of using “AI” are practical, up-to-date, and touch on the different variants of “AI.”

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Doug F

Excited to successfully complete AI Cert's AI+ Marketing certification course! For us marketers, it's imperative to embrace AI and take an active effort in learning how to harness its capabilities to stay relevant and be on the cutting edge of tech.

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Frequently Asked Questions

You’ll learn about predictive analytics, machine learning for demand planning, and AI-driven logistics management.

You’ll work on projects like optimizing warehouse operations and forecasting supply chain disruptions using AI.

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

You’ll use tools like AI-based optimization software and predictive analytics platforms.

This course teaches how AI can be used to optimize supply chain operations, including demand forecasting and inventory management.

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