This instructor-led course introduces learners to agentic AI, autonomous systems capable of perceiving, planning, and acting without human intervention. Through practical examples, interactive discussions, and real-world scenarios, participants will explore how agentic AI differs from traditional AI, how it functions, and where it is being applied across industries. The course also addresses the opportunities and risks associated with agentic AI, emphasizing responsible use and ethical considerations. Learners will leave with a clear understanding of agentic AI’s potential and how it may impact their roles, organizations, and society. Agentic AI Explained Benefits Course Benefits Define agentic AI and distinguish it from traditional AI approaches Explain how agentic AI systems perceive, plan, and act Identify real-world applications of agentic AI in business, government, and everyday life Evaluate the benefits and risks of agentic AI technologies Discuss responsible use practices, including oversight, transparency, and ethics Reflect on how agentic AI may affect personal and professional contexts Important Information: Prerequisites: None Exam Information: None Agentic AI Workshop Outline Learning Objectives Introduction and Overview What agentic AI is and why it matters Course structure and learning goals No technical background required AI Then and Now – From Predictive to Agentic Define agentic AI and compare it to traditional AI Explore how agentic AI systems learn and adapt Discuss examples of autonomous decision-making How Agentic AI Works – Simple Building Blocks Understand the perceive-plan-act workflow Use analogies to explain agentic AI functionality Apply examples from customer service, logistics, and healthcare Agentic AI in Action – Everyday and Workplace Uses Explore applications in logistics, cybersecurity, management, and smart homes Evaluate scenarios in military, healthcare, and finance Recognize limitations and challenges Opportunities, Risks, and Responsible Use Identify benefits such as time savings, productivity, and accessibility Examine risks including bias, privacy, and unintended consequences Discuss responsible practices: human oversight, transparency, and ethics Course Summary and Reflection Recap key concepts and applications Reflect on personal and professional impacts Prepare for next steps in engaging with agentic AI
