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Optimize AI Application Performance

Optimize AI Application Performance is an OpenAI Academy course on using production evidence to judge how an AI system behaves under real traffic, whether an update is ready to release, and how to trade quality against latency, throughput, reliability and cost.

Open at OpenAI ↗Common questions

Who it suits

  • Developers and technical practitioners responsible for deployed AI systems.
  • Teams who need to monitor real-world behaviour and balance quality, performance, reliability and cost.

What it covers

  • Judging production behaviour against real user and business outcomes.
  • Comparing system versions and spotting regressions across traffic segments.
  • Making deliberate trade-offs between response quality, latency, throughput and cost.

Before you start

  • Experience building and evaluating AI applications.
  • Familiarity with production metrics and system monitoring.

Common questions about Optimize AI Application Performance

How long is Optimize AI Application Performance?
OpenAI lists about 45 minutes, at intermediate level, self-paced. OpenAI says progress is saved automatically, so you can leave and pick up where you left off.
What do I need before I start?
Experience building and evaluating AI applications. Familiarity with production metrics and system monitoring.
Who built it?
OpenAI says the course was developed with the teams building its models and products.

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Where this comes from

Written from OpenAI’s own pages, read on 2026-10-13. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with OpenAI and this is not an endorsement.