Introduction to Agentic AI
Duration: 3 Hours
Introduction
This 3-hour session introduces Agentic AI—AI systems that can act autonomously, adapt to changing environments, and solve complex problems. The course builds a clear conceptual foundation and shows where agentic AI fits in the real world, beyond traditional automation and chatbots.
Objectives
By the end of this course, participants will be able to:
- Understand what Agentic AI is and how it differs from traditional AI systems
- Recognize key characteristics, benefits, and limitations of agentic systems
- Identify real-world use cases where agentic AI adds value
- Understand the role of adaptation and behavior in autonomous systems
Key Takeaways
Participants will leave with:
- A clear mental model of Agentic AI and autonomous systems
- Practical insight into where agentic AI can solve complex problems
- Awareness of challenges related to adaptation, control, and reliability
Training Methodology (Learning by Doing)
- Concepts explained through real-world examples, not theory overload
- Interactive discussions and mini-scenarios to explore agent behavior
- Live walkthroughs and demos to connect ideas to practice
- Problem-first approach—understand why before how
Course Outline:
Introduction to Agentic AI and Autonomous Systems
- Defining Agentic AI and its Key Characteristics
- Understanding the Benefits and Challenges of Agentic AI
Applications and Problem Solving
- Real-world Applications of Agentic AI
- Agentic AI for Solving Complex Problems
Adaptation and Behavior
- Defining Adaptation as Self-Directed Changes to Behavior
- Challenges of Adaptation in Complex Environments
