A Short Lecture about Agentic AI
Graduate Course Workshop, J.Mack Robinson College of Business, Georgia State University, 2025
This course provides a comprehensive introduction to Agentic AI, exploring the principles, architectures, and applications of autonomous AI systems that can reason, plan, and act independently.
Course Overview
Agentic AI represents a paradigm shift in artificial intelligence, moving from reactive systems to proactive agents capable of autonomous decision-making and goal-oriented behavior. This course covers:
- Foundational Concepts: Understanding what makes an AI system “agentic”
- Architectural Patterns: Agent frameworks, multi-agent systems, and orchestration
- Reasoning and Planning: How agentic systems make decisions and plan actions
- Tool Use and Delegation: Integration with external tools and APIs
- Applications: Real-world use cases in business, research, and industry
Learning Objectives
By the end of this course, students will be able to:
- Understand the fundamental principles of agentic AI systems
- Design and implement basic agentic AI architectures
- Evaluate the trade-offs between different agentic approaches
- Apply agentic AI concepts to solve real-world problems