AI+ Supply Chain™ - eLearning (exam included)
225,00 EUR
- 15 hours
The AI+ Supply Chain Certification provides a comprehensive understanding of how Artificial Intelligence is reshaping Supply Chain Management (SCM), from core principles to advanced AI applications. It covers key topics such as process optimization using AI, the strategic implementation of generative AI, and the digital transformation of supply chain systems.
Key Features
Language
Course and material in English
Level
Intermediate level (Category: AI+ Professional)
Access
1 year access to the platform 24/7
8 hours of video lessons & multimedia
15 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included
Tools You’ll Master
LeewayHertz (ZBrain), C3.ai, Coupa (LLamasoft), Zebra (Workcloud Demand Intelligence Suite)
About the course
Revolutionizing Supply Chain Management
- All-Inclusive Curriculum: Explores logistics, operations, and the digital evolution of supply chains
- Cutting-Edge Strategies: Learn to design forward-thinking supply chain models and workflows
- Industry-Focused Insights: Practical learning tailored to address challenges unique to specific sectors
- AI-Driven Leadership: Equips you to spearhead efficiency and innovation through AI in supply chain operations
Participants will gain insights into AI-powered decision-making, sector-specific applications, and the integration of AI into logistics and operations. The program also includes a hands-on workshop, allowing you to apply AI techniques to real-world supply chain issues—preparing you to lead innovation and drive AI adoption within your organization.
Why This Certification Is Important
Discover how AI can enhance logistics, lower operational costs, and boost overall supply chain performance.
Learning Outcomes
At the end of this course, you will be able to:
Digital Transformation of Supply Chains
Discover how to apply AI to automate and digitize supply chain processes, enabling smarter decisions and greater efficiency.
Intelligent Supply Chain Management
Learn to utilize AI-powered SCM systems to track, control, and enhance supply chain operations in real time.
AI in Logistics Operations
Develop skills in using AI for planning transportation, managing warehouses, and optimizing logistics to reduce costs and improve performance.
Optimizing the Supply Chain with AI
Explore how to apply machine learning and predictive analytics to improve demand planning, inventory control, and logistics execution.
Course timeline
Introduction to Artificial Intelligence in Supply Chain
Lesson 1
- 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
Advanced AI Techniques for Supply Chain
Lesson 2
- 2.1 Machine Learning in Supply Chain
- 2.2 Expert Systems in SCM
- 2.3 Integrating Images and Text in Supply Chain AI
Generative AI in Supply Chain Management
Lesson 3
- 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
Supply Chain Digitization
Lesson 4
- 4.1 Introduction to Supply Chain Digitization
- 4.2 Supply Chain Integration and Push-Pull Strategies
- 4.3 Supply Chain Resiliency, Planning and Sustainability
Intelligent Driven Supply Chain Management
Lesson 5
- 5.1 Introduction to Smart SCM
- 5.2 Employing Smart SCM and Prompt Engineering
- 5.3 Future Trends of Smart SCM
Industry Aspects of Advanced SCM
Lesson 6
- 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
Policies of Logistics Management in Supply Chain with AI
Lesson 7
- 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
Supply Chain Masterclass with AI Assistance
Lesson 8
- 8.1 Supplier Selection and Relationship Management with AI
- 8.2 Mastering Advancements in SCM with Modern Artefacts
AI Agents for Supply Chain
Optional
- 1. What Are AI Agents
- 2. What Are AI Agents in Logistics and Supply Chain
- 3. Applications & Trends of AI Agents in Supply Chain
- 4. How Does an AI Agent Work
- 5. Core Characteristics of AI Agents
- 6. Key Advantages of AI Agents in Logistics and Supply Chain
- 7. Types of AI Agents
Industry Growth
Scaling Smart Logistics and Demand Planning
- The market for AI-enabled supply chain solutions is expected to grow at a 22% annual rate, increasing the need for skilled professionals (Source: MarketsandMarkets).
- Industries such as retail, manufacturing, and logistics are being transformed by AI, which automates key functions like demand forecasting and inventory control.
- There is a growing demand for AI-powered analytics as organizations seek to improve procurement, cut costs, and anticipate supply chain disruptions.
- AI automation is becoming essential for companies expanding their supply chain operations, enhancing efficiency in inventory and procurement processes.
Who Should Enroll in this Program?
Supply Chain Practitioners: Upgrade your expertise by integrating AI to enhance forecasting accuracy, inventory control, and operational workflows.
Procurement Professionals: Leverage AI to refine supplier evaluation, anticipate demand, and streamline inventory and procurement cycles.
Logistics and Operations Leaders: Discover how to apply AI in logistics planning, warehouse optimization, and route efficiency to cut costs and boost performance.
Executives and Business Decision-Makers: Lead the adoption of AI in supply chain operations to drive automation, efficiency, and innovation across the value chain.
More Details
Prerequisites
- Basic understanding of supply chain principles, operations, and workflows.
- Familiarity with core AI concepts like machine learning and data analytics is recommended.
- Experience with business management tools or technologies such as ERP systems or data analysis platforms is advantageous.
- Solid analytical and problem-solving abilities are important for effectively applying AI methods in supply chain contexts
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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