Prompt Engineering for Developers

Covers system prompts, structured output, meta-prompting, Developer Mode, and prompt industrialization.

16 lessons About 2 h Developer

What you'll learn

Write a structured system prompt and adjust temperature and top_p according to the targeted task
Apply meta-prompting, self-consistency, and tree-of-thought on reasoning tasks
Enforce an output format with JSON Schema and validate responses on the code side with Zod
Extract structured entities using nested schemas, enumerations, and unions
Industrialize a prompt catalog: versioning, A/B testing, and automated evaluation

Who it's for: Developers, engineers, and integrators looking to leverage ChatGPT via API in their applications.
Prerequisites: Ability to read Python and JSON, command line basics. An OpenAI platform API key to try the examples.
Length: 2 h · 16 lessons
Format: 100% online self-paced course, accessible 24/7 from a browser. Progress saved, resume anytime. Estimated duration: 2 h.
Assessment: Application exercises provided throughout the lessons. Each lesson ends with its key takeaways to support self-assessment. A final quiz of 5 corrected questions at the end of the last lesson validates learning.
Accessibility: Self-paced course accessible to people with disabilities: text content compatible with screen readers, keyboard navigation, and compliant contrasts. For any adaptation needs, email [email protected].
Price: Free
Recognition: Certificate of completion issued by Corsen AI, verifiable online.
Syllabus: Download the syllabus (PDF)