About this course
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.
Designed as a foundational learning experience, this course is ideal preparation for Course 2: Implementing Agentic AI in Business, where participants will transition from conceptual understanding to practical deployment strategies.
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
By the end of this course, participants will be able to:
• Define agentic AI and explain its key characteristics
• Understand the cognitive capabilities that distinguish AI agents
• Identify different categories of business-ready AI agents
• Analyze use cases across industry sectors and value chains
• Evaluate the strategic and operational implications of agentic AI
• Recognize ethical and technological limitations associated with agentic systems
• Assess business functions that may benefit from agentic AI adoption
• Prepare for deeper implementation planning in the next course
Target Audience
This course is designed for:
• Business leaders and decision-makers exploring AI-driven transformation
• Innovation managers and digital strategists
• Product owners, consultants, and business analysts
• Professionals in industries seeking to leverage AI for efficiency and insight
• Anyone interested in understanding the next wave of intelligent systems
Prerequisite
• General awareness of artificial intelligence and its basic applications
• No technical or programming background is required
• Recommended: Exposure to business process improvement or digital tools
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.
Designed as a foundational learning experience, this course is ideal preparation for Course 2: Implementing Agentic AI in Business, where participants will transition from conceptual understanding to practical deployment strategies.
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
By the end of this course, participants will be able to:
• Define agentic AI and explain its key characteristics
• Understand the cognitive capabilities that distinguish AI agents
• Identify different categories of business-ready AI agents
• Analyze use cases across industry sectors and value chains
• Evaluate the strategic and operational implications of agentic AI
• Recognize ethical and technological limitations associated with agentic systems
• Assess business functions that may benefit from agentic AI adoption
• Prepare for deeper implementation planning in the next course
Target Audience
This course is designed for:
• Business leaders and decision-makers exploring AI-driven transformation
• Innovation managers and digital strategists
• Product owners, consultants, and business analysts
• Professionals in industries seeking to leverage AI for efficiency and insight
• Anyone interested in understanding the next wave of intelligent systems
Prerequisite
• General awareness of artificial intelligence and its basic applications
• No technical or programming background is required
• Recommended: Exposure to business process improvement or digital tools
Introduction
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