OpenAI Prompt Engineering for Improved Performance
Poor prompts are costing companies thousands in wasted API calls and subpar AI outputs. Ed Freitas shows you the systematic approach to crafting prompts that consistently deliver better results whilst reducing costs.
AIU.ac Verdict: Perfect for developers and product managers who need immediate improvements in their AI implementations. At 41 minutes, it’s brilliantly focused but won’t cover advanced enterprise-scale prompt management.
What This Course Covers
You’ll learn the fundamental principles of effective prompt construction, including context setting, instruction clarity, and output formatting techniques. Freitas demonstrates practical methods for iterative prompt refinement and shows how to measure and improve response quality systematically.
The course covers cost optimisation strategies through better prompt design, common pitfalls that lead to inconsistent outputs, and real-world examples of prompts that work across different use cases. You’ll also explore techniques for handling edge cases and maintaining prompt performance as your application scales.
Who Is This Course For?
Ideal for:
- Software developers: Building AI-powered features and need reliable, consistent outputs from OpenAI models
- Product managers: Overseeing AI implementations and want to understand how prompt quality affects user experience and costs
- Technical consultants: Advising clients on AI integration and need proven techniques for optimising model performance
May not suit:
- Complete AI beginners: Assumes basic familiarity with OpenAI APIs and how language models work
- Enterprise architects: Focuses on individual prompt optimisation rather than large-scale prompt management systems
Frequently Asked Questions
How long does OpenAI Prompt Engineering for Improved Performance take?
The course runs for 41 minutes, designed as a focused session you can complete in one sitting.
Do I need prior experience with OpenAI’s API?
Yes, basic familiarity with OpenAI models and API usage is assumed. This isn’t an introduction to AI course.
Will this help reduce my OpenAI API costs?
Absolutely. Better prompts mean fewer retry attempts and more efficient token usage, directly reducing costs.
Does it cover GPT-4 specifically or other models too?
The techniques apply across OpenAI’s model family, though specific examples may focus on popular models like GPT-3.5 and GPT-4.
Course by Ed Freitas on Pluralsight. Duration: 0h 41m. Last verified by AIU.ac: March 2026.
