Generative AI vs Agentic AI vs AI Agents

Overview

Explore the distinctions between generative AI, agentic AI, and AI agents, focusing on how agentic AI operates autonomously to solve complex problems in real-time.

Syllabus

• Introduction to AI Concepts
Overview of Artificial Intelligence
Historical Context and Evolution of AI
Importance of AI in Modern Society
• Understanding Generative AI
Definition and Key Characteristics
Techniques and Models (e.g., GANs, VAEs)
Applications of Generative AI
Ethical Considerations and Challenges
• Exploring Agentic AI
Definition and Core Characteristics
Autonomy in AI Systems
Components of Agentic AI Systems
Case Studies: Successful Implementations
• Distinguishing AI Agents
Definition and Attributes
Types of AI Agents
Role in Automation and Problem Solving
• Comparing Generative AI, Agentic AI, and AI Agents
Similarities and Differences
Use Cases and Applications
Real-World Examples
• Autonomous Problem Solving with Agentic AI
Understanding Autonomy in AI
Real-Time Decision Making and Adaptation
Complex Problem Solving in Dynamic Environments
• Practical Applications and Industry Examples
Generative AI in Creative Industries
Agentic AI in Robotics and Autonomous Vehicles
AI Agents in Personal Assistants and Customer Service Bots
• Challenges and Future Directions
Current Limitations and Research Frontiers
Ethical and Societal Impacts
Future Trends in AI Development
• Conclusion
Recap of Key Concepts
Integration of AI Systems
Preparing for an AI-Enhanced Future

Subjects

Computer Science