Class 5: Introduction to AI Agents
Summary: Understand autonomous AI agents that can perceive, reason, and act to achieve specific goals through iterative processes.
Learning Objectives:
- Define AI agents and distinguish them from static AI models
- Comprehend agent architecture components and workflows
- Recognize application scenarios for agentic AI solutions
Key Topics:
- Agent fundamentals: Tools, thoughts, actions, and observations
- Agent architecture patterns and design principles
- Function calling and tool use in agent systems
- Single-agent versus multi-agent collaboration frameworks
Activities:
- Analyze real-world agent implementation case studies
- Conceptual design of agents for specific business problems
- Interactive demonstration of agent workflows