Optimizing Prompts with DSPy | CodeSignal Learn

intermediate

Optimizing Prompts with DSPy

Software Engineering

3 courses

43 practices

6 hours

Learn DSPy, a Pythonic framework for building robust AI systems without brittle prompts. Define tasks with signatures, compose modules, evaluate with metrics, and optimize prompts or models—all in an iterative, modular workflow.

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Earn a shareable

Certificate of Achievement

Verified skills you'll gain

DEVELOPING

General Programming and Software Engineering

INTERMEDIATE

Prompt Engineering and Optimization

Tools you'll use

DSPy

Python

Trusted by learners working at top companies

Course 1

DSPy Programming

4 lessons

16 practices

The course introduces DSPy—its installation, programming, evaluation, and optimization for building AI systems. It covers using LMs, designing signatures, and composing modules for advanced tasks.

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Course 2

Evaluation in DSPy

3 lessons

11 practices

You will learn the evaluation steps — collecting development data, defining DSPy metrics, and running evaluations — while become proficient in data handling with Example objects and creating metrics to assess output quality.

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Course 3

How to optimize with DSPy

4 lessons

16 practices

Learn DSPy optimization tuning prompts and LM weights via few-shot learning, instruction optimization, and finetuning. You will cover data splits, various optimizers, and saving/loading optimized programs for iterative improvement.

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