Congratulations on completing this course. In this course, you'll learn that DSPy is a lightweight flexible GenAI authoring framework that simplifies interaction with LLMs and agent development. It also provides automatic program optimization through DSPy optimizers, and it has native MLflow tracing integration for easy development. You used dspy.signature to define inputs and outputs, and DSPy.module to wrap the custom logic. After building the program, you'll learn how to prepare a small dataset and a metric function to use a DSPy optimizer to improve the quality of the AI program. And then finally you used Mlflow tracing by adding mlflow.dspy.autolog. I'm looking forward to seeing what you have built on your own!