Accelerate your certification journey with this comprehensive package, which includes:

•            Live virtual classroom instruction over three consecutive days

•            Six months of access to the digital learning system after course ends

•            Access to a practice exam

•            Supply Management Integration Exam (exam registration is valid for six months from course end date)

This solution is the fastest and most effective way to prepare for and earn your certification. This bundle supports certification path for CPSM.

Save over 15% when you purchase the Supply Management Integration Bundle.

Please note: Bundled purchases are non-refundable and non-exchangeable.

Today’s supply chains face constant uncertainty, making it critical to have strategies that manage both everyday and extraordinary risks. To optimize business results, risk must be systematically identified, analyzed and assessed through the global supply chain in terms of impact and probability and supply management must generate options to reduce or mitigate the perceived risks. Led by an ISM subject matter expert, this course covers risk management through weekly webinars and daily, self-paced training modules that consist of online reading, multimedia, knowledge checks and practical application activities. Join us for this Guided Learning to expand your knowledge of risk management so you can identify, analyze and assess risk in the global supply chain.

Explore the rapid evolution of artificial intelligence and its transformative impact across industries. This webinar will delve into the progression from traditional machine learning to generative AI and the emerging frontier of agentic AI—autonomous systems capable of goal-directed behavior. Learn how these technologies are reshaping operations, decision-making, and innovation.

Learning Objectives:

1. Understand the distinctions between machine learning, generative AI, and agentic AI.
2. Evaluate the strategic implications of adopting advanced AI systems.
3. Explore future trends and ethical considerations in autonomous AI deployment.