StretchLearn Course
The frameworks, libraries, and quality controls that make AI output reliable enough to send to a client.
Course Overview
Prompt Engineering for Business turns trial-and-error chatbot use into a repeatable discipline. You will learn the named frameworks professionals rely on — role prompting, few-shot examples, chain-of-thought, and the RTCF structure — and apply them to emails, reports, analysis, and customer communication. By the end you will own a tested prompt library and a scoring rubric for evaluating AI output before it reaches a client.
Learning Outcomes
Construct prompts using the RTCF framework (Role, Task, Context, Format) for any business request
Apply few-shot prompting with 2-3 worked examples to lock tone, structure, and quality
Use chain-of-thought and step-back prompting to improve reasoning on analysis and decision tasks
Build and version a reusable prompt library with variables and clear naming conventions
Evaluate AI output against a 5-point quality rubric and run structured iteration loops
Reduce hallucination and bias through grounding, constraints, and verification prompts
Curriculum Preview
Preview the course structure, see how the modules build on one another, and understand the path this program is designed to take you through.
Understand what a language model is doing when it answers, and why prompt structure changes output quality so dramatically.
Learn the named, repeatable frameworks — RTCF, role prompting, few-shot, and chain-of-thought — that produce professional output on demand.
Push beyond basics with chain-of-thought, step-back prompting, decomposition, and grounding to handle analysis and high-stakes tasks.
Turn one-off prompts into a versioned library and a repeatable quality-control workflow your whole team can use.
Built for Application
This program is designed around progression: focused lessons, structured modules, applied resources, assessments, and a course rhythm that turns information into usable capability.