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4+ Hours of Video Instruction
Your introduction to AI agents
In How Agents Work you learn the basics of AI agents, including the terminology, how they work, and when they should and should not be used. The course also delves into how to evaluate agents and analyze them for safety concerns.
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Who Should Take This Course
Course Requirements
Lesson Descriptions
Why Do We Use Agents?
In the first lesson Kate discusses what AI agents are and why we use them. She also discusses how they are different from normal chatbots and what they can do that chatbots cannot.
How Do Agents Work?
In the next lesson Kate dives into the details of how agents actually work. She begins by discussing the observe/think/act cycle, which is a foundational concept for autonomous AI agents. Next, she discusses what makes an agent, and then she finishes with the concept of model context protocol (MCP), a protocol that uses a client-server type of connection between AI applications (clients) and data sources (servers).
Examples of Agent Use Cases
In this lesson Kate walks you through some examples of agents in use, from an inbox triage assistant, to a multi-agent system, to a system with an agent and a human working together. She also discussed the types of tasks for which AI agents should not be used.
Safety and Evaluation
In the final lesson Kate covers common issues that crop up when using AI agents and the things that make it tricky to evaluate their performance. She also presents some cases of AI agents causing mayhem in the real world.
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Why Do We Use Agents?
Why This Topic Is Important
Terms and Definitions
How Do Agents Work?
Observe/Think/Act
What Makes an Agent
Model Context Protocol
Examples of Agent Use Cases
Assistant
Multi-agent System
Agents as a Step in a Larger Pipeline
When Not to Use Agents
Safety and Evaluation
Common Issues
Evaluation
Safety Risks
Summary
