AI+ Supply Chain Practitioner™
- From 200 EUR + VAT
- Self-paced online Start anytime
- Duration 8 hours of content, self-paced
- Language English
- Topic AI Business
Overview
What the course covers
The course, the materials and the exam are in English. The description below is the original AI CERTs® text.
- Comprehensive Learning: Covers logistics, operations, and supply chain digitization
- Advanced Supply Strategies: Develop innovative supply strategies and workflows
- Sector-Specific Solutions: Tailored sessions for real-world, sector-specific challenges
- Lead AI Supply Efficiency: Prepares learners to lead in AI-led supply chain efficiency
Prerequisites
Foundational knowledge of supply chain, Prior experience with business management or technical tools, such as ERP systems or data analysis software, will be beneficial.
Audience
Who is it for
Supply Chain Professionals: Enhance your supply chain management skills by integrating AI tools for improved forecasting, inventory management, and process optimization.
Logistics & Operations Managers: Learn to leverage AI for optimizing logistics, route planning, and warehouse management to enhance operational efficiency and reduce costs.
Procurement Experts: Use AI to improve supplier selection, demand forecasting, and inventory replenishment, streamlining procurement processes.
Business Leaders: Drive innovation in your supply chain by adopting AI technologies to automate workflows, predict demand, and optimize end-to-end operations.
Students & New Graduates: Gain a competitive advantage in the supply chain field by mastering AI tools and techniques that are transforming global logistics and supply chain management.
In the price
What the price includes
- Self-paced online course with the full learning material
- The official AI CERTs® exam
- Digital badge after passing the exam
Course content
Syllabus
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
Exam
About the exam
- 50 Questions
- 90 min Time limit
- 70% Pass mark
- Online proctored exam
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