AI+ Supply Chain™

This globally recognized AI+ Supply Chain™ Certification Course by AI CERTs® equips professionals with the foundational knowledge and practical understanding required to confidently begin their journey in applying Artificial Intelligence across supply chain operations, logistics, and data-driven decision-making

AI Certification Course - Synergogy

AI+ Supply Chain™ Certification

Synergogy, the Authorized Training Partner (ATP) of AI Certs, brings you This globally recognized AI+ Supply Chain™ Certification Course by AI CERTs® equips professionals with the foundational knowledge and practical understanding required to confidently begin their journey in applying Artificial Intelligence across supply chain operations, logistics, and data-driven decision-making

AI+ Supply Chain™Certification

This course includes

Why This Certification Matters

  • Driving Intelligent Supply Chain Operations with AI:
    Gain the ability to apply AI technologies to enhance logistics performance, lower operational costs, and improve end-to-end supply chain efficiency.
  • Improving Demand Forecasting and Inventory Optimization:
    Leverage AI-powered analytics to anticipate demand patterns, optimize inventory levels, and minimize risks associated with stock shortages or excess inventory.
  • Staying Competitive in an AI-Enabled Supply Chain Landscape:
    As organizations rapidly adopt AI-driven supply chain solutions, professionals with specialized AI and supply chain expertise are increasingly sought after to lead transformation initiatives.
  • Strengthening Decision-Making Through Predictive Intelligence:
    Develop proficiency in AI-driven predictive analytics to evaluate supply chain data in real time, enabling smarter decisions that improve resilience, responsiveness, and operational outcomes.
Who Should Enroll?
  • Supply Chain Professionals: Strengthen supply chain capabilities by applying AI-driven tools for advanced forecasting, smarter inventory control, and continuous process optimization.
  • Logistics and Operations Managers: Utilize AI technologies to enhance logistics planning, optimize transportation routes, and improve warehouse operations while reducing operational costs.
  • Procurement Specialists: Apply AI insights to refine supplier evaluation, improve demand planning, and automate inventory replenishment for more efficient procurement workflows.
  • Business Leaders: Lead supply chain transformation initiatives by adopting AI-powered solutions to automate processes, predict demand, and optimize end-to-end supply chain performance.
  • Students and Early-Career Professionals: Build a strong competitive edge by developing practical knowledge of AI tools and techniques that are reshaping global supply chain and logistics operations.
Tools Covered
  • LeewayHertz (ZBrain)
  • C3.ai
  • Coupa (LLamasoft)
  • Zebra (Workcloud Demand Intelligence Suite)
 
 
 
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.
Exam Details
  • Introduction to Artificial Intelligence in Supply Chain – 10%
  • Advanced AI Techniques for Supply Chain – 15%
  • Generative AI in Supply Chain Management – 10%
  • Supply Chain Digitization – 15%
  • Intelligent Driven Supply Chain Management – 15%
  • Industry Aspects of Advanced SCM – 15%
  • Policies of Logistics Management in Supply Chain with AI – 10%
  • Supply Chain Masterclass with AI Assistance – 10%

What You'll Learn

1: Introduction to Artificial Intelligence in Supply Chain

  • Fundamentals of Artificial Intelligence in Supply Chain Management (SCM)

  • Limitations of traditional supply chain models

  • Role of AI in procurement, logistics, and inventory management

  • Automation and optimization using AI technologies

  • Ethical considerations and implementation challenges in AI-driven SCM

2: Advanced AI Techniques for Supply Chain

  • Machine Learning (ML) applications in demand forecasting

  • AI-driven logistics optimization and route planning

  • Expert systems and rule-based decision frameworks

  • Image and text processing for quality control and insights

  • Natural Language Processing (NLP) for supply chain intelligence

3: Generative AI in Supply Chain Management

  • Fundamentals and evolution of Generative AI

  • Generative models including GANs and VAEs

  • Scenario simulation for supply chain planning and risk management

  • Revenue optimization and demand forecasting using generative models

  • Transformers and LSTM architectures for sequence and text analysis

4: Supply Chain Digitization

  • Transition from traditional to digital supply chains

  • Role of AI, IoT, and blockchain in SCM digitization

  • Industry 4.0 and smart supply chain ecosystems

  • Data science and analytics for real-time decision-making

  • Building resilient and sustainable digital supply chains

5: Intelligent-Driven Supply Chain Management

  • AI-driven decision-making frameworks

  • Integration of ML, robotics, and analytics in SCM

  • Push-pull strategies and supply chain integration

  • Prompt engineering for AI applications in supply chain contexts

  • Future trends including autonomous operations and 5G-enabled SCM

6: Industry Aspects of Advanced SCM

  • Industry-specific supply chain challenges and solutions

  • AI, ML, and blockchain as disruptive technologies

  • Case studies across manufacturing, retail, and logistics

  • Risk management and adoption challenges

  • Strategies to maximize business value from AI-enabled SCM

7: Policies of Logistics Management in Supply Chain with AI

  • Role of logistics management in organizational success

  • AI-enhanced warehousing and transportation systems

  • Data privacy, security, and ethical AI governance

  • AI-driven demand planning and risk mitigation

  • Alignment with sustainability goals and global standards

8: Supply Chain Masterclass with AI Assistance

  • AI-driven supplier selection and relationship management

  • Building and deploying AI-based demand forecasting models

  • Autonomous vehicles and smart logistics systems

  • Integration of IoT, blockchain, and AI for transparency

  • Impact of 5G and emerging technologies on future supply chains

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FAQs - AI+ Supply Chain™

  • 1. What is the AI+ Supply Chain™ Certification?

    The AI+ Supply Chain™ Certification by AI CERTs® is a globally recognized program designed to help professionals understand and apply Artificial Intelligence across supply chain, logistics, procurement, and operations management.

  • 2. Who should enroll in the AI+ Supply Chain™ course?

    This certification is ideal for supply chain professionals, logistics and operations managers, procurement specialists, business leaders, students, and early-career professionals who want to leverage AI to improve efficiency, forecasting, and decision-making.

  • 3. Do I need prior AI or technical knowledge to take this course?

    No advanced technical or coding background is required. A basic understanding of supply chain concepts is helpful, and the course is structured to make AI concepts accessible and practical for both technical and non-technical learners.

  • 4. What skills will I gain from the AI+ Supply Chain™ certification?

    You will gain skills in AI-driven demand forecasting, inventory optimization, logistics planning, predictive analytics, supply chain digitization, and strategic decision-making using AI-powered tools and techniques.

  • 5. How does the AI+ Supply Chain™ certification support career growth?

    The certification validates in-demand AI and supply chain expertise, helping professionals stay competitive, lead digital transformation initiatives, and pursue advanced roles in supply chain analytics, operations leadership, and AI-enabled logistics.

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