Production, Evals, and Optimization
Covers latency, prompt caching, Batch API, evals, compaction, and complete production architecture.
20 lessons About 2 h Advanced
What you'll learn
- Measure end-to-end latency of a call and identify priority optimization levers
- Reduce costs at scale with prompt caching, Predicted Outputs, and the Batch API
- Design an asynchronous architecture based on queues, parallelism, and background mode
- Master long conversations through compaction, token counting, and budgeting
- Automate evaluations with the Evals framework and integrate them into a CI/CD pipeline
Course details
- Who it's for
- Developers, engineers, and integrators looking to leverage ChatGPT via API in their applications.
- Prerequisites
- Confirmed experience in application development and deployment to production.
- Length
- 2 h · 20 lessons
- Format
- 100% online self-paced course, accessible 24/7 from a browser. Progress is saved, allowing you to resume at any time. Estimated duration: 2 h.
- Assessment
- Self-assessment based on the Key takeaways concluding each lesson, and direct implementation of examples on your own examples. 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)