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Added:06/29/2026 9:44 AM

Members $35 Non-members $105
Understanding Agentic AI is an introductory course designed to help professionals grasp the foundational concepts, capabilities, and strategic potential of agentic artificial intelligence. As AI evolves beyond static tools into autonomous agents that perceive, reason, and act, businesses must understand how these systems differ fundamentally from traditional AI solutions.
This course guides learners through the conceptual landscape of agentic AI, exploring key principles such as autonomy, perception, memory, and goal-directed behavior. Participants will examine how AI agents can adapt, learn, and collaborate in dynamic environments to solve complex problems and drive measurable value.
Through real-world examples, learners will discover the different types of AI agents available today - from digital assistants and content generators to process automation tools and decision-support systems. The course also explores agentic AI's role across industries like finance, healthcare, retail, and logistics, providing a high-level view of both opportunities and limitations. Ethical considerations, including bias, transparency, and human oversight, are addressed to encourage responsible use and governance. Whether you are an executive, product leader, or strategist, this course offers the critical knowledge to engage confidently in the future of AI-driven business.

Learning Objectives
In this course, participants will:
Define agentic AI and explain how it differs from traditional or generative AI tools.
Identify business scenarios where AI agents can plan, act, and support workflows.
Evaluate the benefits, limitations, and oversight needs of agentic AI systems.

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About this item

Members $35 Non-members $105

Understanding Agentic AI is an introductory course designed to help professionals grasp the foundational concepts, capabilities, and strategic potential of agentic artificial intelligence. As AI evolves beyond static tools into autonomous agents that perceive, reason, and act, businesses must understand how these systems differ fundamentally from traditional AI solutions.


This course guides learners through the conceptual landscape of agentic AI, exploring key principles such as autonomy, perception, memory, and goal-directed behavior. Participants will examine how AI agents can adapt, learn, and collaborate in dynamic environments to solve complex problems and drive measurable value.


Through real-world examples, learners will discover the different types of AI agents available today - from digital assistants and content generators to process automation tools and decision-support systems. The course also explores agentic AI's role across industries like finance, healthcare, retail, and logistics, providing a high-level view of both opportunities and limitations.
Ethical considerations, including bias, transparency, and human oversight, are addressed to encourage responsible use and governance. Whether you are an executive, product leader, or strategist, this course offers the critical knowledge to engage confidently in the future of AI-driven business.

 

Learning Objectives

In this course, participants will:

  • Define agentic AI and explain how it differs from traditional or generative AI tools.

  • Identify business scenarios where AI agents can plan, act, and support workflows.

  • Evaluate the benefits, limitations, and oversight needs of agentic AI systems.

 

Course/Activity Information

Members $35 Non-members $105

Estimated completion time: 0.6 hours

Course access length: 6 months upon enrollment 

Awards 0.6 CFE education credits upon completion

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