Conclusion

Conclusion

Well, this brings you to the end of the lesson. You learned how to set assessment metrics for your AI agent, monitor its performance, and make improvements. You’ve also come to the end of the module. In this module, you’ve learned how to:

• Construct a basic AI agent using function calling in the OpenAI API.
• Design a complex AI agent using LangGraph, incorporating features such as memory, structured output, and human-in-the-loop interactions.
• Analyze the performance and limitations of AI agents in solving multi-step, real-world tasks.

Good work on all you’ve accomplished!

When you’re ready to deploy an agent, some options include LangGraph Cloud, which is still in Beta, or self-hosting with a framework like FastAPI.