Agentic & Generative AI for Supply Chain Management

4.5 (300–500+ Learners)

Learn from industry experts with hands-on projects & live mentorship

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8 Sessions

Duration – 16 Hours

English / Arabic

Certificate of Completion

Fundamentals of Generative AI, Agentic AI, and large language models

AI frameworks for identifying high-impact supply chain use cases

Applying AI across planning, logistics, manufacturing, and inventory management

Hands-on exposure to AI agents, copilots, and intelligent workflows

Case studies from leading supply chain and manufacturing organizations

Classical ML vs Generative AI, AGI, and Agentic AI

LLM fundamentals: tokenization, embeddings, fine-tuning, and RAG

Prompt engineering, AI agents, multi-agent collaboration, and workflows

AI copilots, chatbots, and business AI tools

Supply chain optimization using AI: demand forecasting, inventory, logistics, and manufacturing

AI-powered quality inspection, predictive maintenance, and safety

Understand core concepts of Generative AI, Agentic AI, and AI agents

Identify and prioritize AI use cases across the supply chain value chain

Apply LLMs, AI agents, and workflows to optimize supply chain operations

Design AI solutions that move from pilot to production

Apply responsible AI, risk, and regulatory frameworks in SCM applications

About the Course & Benefits

This course provides a practical understanding of how Generative AI, AI agents, and large language models are transforming supply chain planning and operations. It combines foundational AI concepts with real-world use cases, enabling participants to design and deploy AI-driven solutions that enhance efficiency, resilience, and business outcomes.

Benefits included:

KHDA + Medilearn certification

Gain insights into enterprise AI use cases in SCM

Identify, design, and pilot AI initiatives in operations

Understand responsible AI, governance, and regulations

Course Circulation

Module 1

Module 2

Module 3

Module 4

Module 5

Module 6

MediLearn Certificate

Earn a Course Completion Certificate, an official credential from MediLearn, recognizing your dedication and hard work throughout the program. This certificate confirms that you have successfully met all course requirements, including assessments, practical activities, and guided learning sessions. It serves as a trusted proof of your newly acquired knowledge and skills, valued by employers and professional institutions. Display it with pride on your resume, LinkedIn profile, or portfolio to strengthen your professional credibility and career opportunities.

Student Success Stories

“Education is one of the most essential and valuable assets that an individual can possess, It plays a pivotal role in shaping.”

The Career Changer
"This course was the key to my career pivot. I went from a traditional IT role to an AI Specialist at a leading tech firm in Dubai. The hands-on GCP and Gemini API projects were exactly what employers were looking for."

The Promotion Earner
"After completing the Agentic AI course, I was able to lead a major project using Vertex AI, which directly led to my promotion to Senior Data Scientist. The practical skills are invaluable."

The Technical Expert
"As a backend engineer, I needed to upskill in AI to stay relevant. This course's deep dive into Google Gemini API on GCP was exactly what I needed to secure a new, higher-paying role."

The Strategic Leader
"To lead my team effectively, I needed to understand the strategic applications of agentic AI. This course gave me the knowledge to develop a new AI strategy that got me promoted to Director of Technology."

The Innovator
"I've always been interested in AI, but this course gave me the practical skills to actually build solutions. I was able to land a job at a cool tech startup in Dubai, working on cutting-edge projects."

The Specialist
"The healthcare sector is rapidly adopting AI. This course's focus on Google's advanced AI tools helped me secure a specialized role in medical data analysis, a field I'm passionate about."

FAQs

How can AI be used in supply chain management?

Artificial intelligence can be used in supply chain management to enhance planning, execution, and decision-making across the end-to-end value chain. AI applications include demand forecasting, inventory optimization, logistics planning, manufacturing optimization, quality inspection, and predictive maintenance. The Agentic & Generative AI for Supply Chain Management course trains learners to identify high-impact use cases and apply Generative AI, AI agents, and intelligent workflows to real-world supply chain operations, with an emphasis on enterprise deployment, resilience, and measurable business outcomes.

What is the best AI for supply chain management?

There is no single AI technology that is universally optimal for all supply chain applications. Instead, effective supply chain transformation relies on a combination of AI approaches. Generative AI supports planning, reporting, and decision intelligence; Agentic AI enables autonomous and semi-autonomous workflows; and large language models (LLMs) enhance coordination, analysis, and operational efficiency. This course equips learners to evaluate and select appropriate AI frameworks based on supply chain context, operational complexity, and business objectives.

Can AI replace supply chain functions entirely?

AI cannot fully replace supply chain functions but can significantly augment them. While AI excels at data analysis, optimization, and automation of repetitive tasks, strategic decision-making, exception handling, and stakeholder management continue to require human expertise. The course emphasizes human-in-the-loop AI systems, where AI supports planners and managers by improving speed, accuracy, and insight rather than replacing core supply chain roles.

What is the future of AI in supply chain management?

The future of AI in supply chain management is characterized by increased adoption of Agentic AI systems, intelligent copilots, and end-to-end AI-enabled workflows. Organizations are expected to move from isolated pilots toward enterprise-wide AI deployment that enhances resilience, responsiveness, and sustainability. This course prepares learners to design AI solutions that progress from experimentation to production while incorporating governance, ethics, and regulatory considerations.

Is AI taking supply chain jobs?

AI is reshaping supply chain roles rather than eliminating them. Routine and repetitive tasks are increasingly automated, while demand grows for professionals who can interpret AI outputs, manage AI-driven systems, and make strategic decisions. The course focuses on upskilling supply chain professionals to work effectively alongside AI systems, enabling career relevance in AI-enabled supply chain environments.

What are the risks of using AI in supply chain management?

Key risks associated with AI in supply chain management include data quality issues, model bias, lack of transparency, over-reliance on automated decisions, and regulatory non-compliance. Cybersecurity and ethical concerns also present challenges in enterprise AI adoption. The course addresses these risks through dedicated coverage of responsible AI, governance frameworks, and regulatory considerations to ensure safe and compliant AI deployment in supply chain contexts.

Will AI replace procurement jobs?

AI is unlikely to replace procurement jobs but will transform procurement practices. AI can automate spend analysis, supplier evaluation, contract review, and risk assessment, allowing procurement professionals to focus on strategic sourcing, supplier relationships, and value creation. This course prepares learners to apply AI tools in procurement while maintaining human oversight, ethical judgment, and regulatory compliance.

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