Foundations of Agentic AI: From Reactive to Autonomous Systems

About the Course:

This foundational course introduces learners to the key concepts, technologies, and design principles that define agentic AI. Participants will trace the journey from rule-based reactive systems to sophisticated agents capable of memory, planning, and tool use. The course provides both theoretical grounding and practical examples to understand how agentic systems are constructed and deployed in real-world scenarios, including customer service, education, and intelligent automation.

Course Objective:

• Understand the difference between reactive, proactive, and agentic systems
• Learn about the historical development of agent-based AI
• Identify core components of an agentic system (e.g., goals, memory, planning)
• Analyze real-world applications of agentic AI
• Lay the groundwork for designing your own agentic AI solutions

Who is the Target Audience?

• Beginners in AI, non-technical professionals, educators, digital transformation leaders, and anyone seeking to understand the strategic potential of agentic AI.

Basic Knowledge:

• No programming experience is required. A general interest in AI, automation, or digital innovation is helpful.