Claremont AI · Corporate Training Program

Mastering Effective AI Prompt Building with RICECAR

A practical, hands-on course for more useful and responsible AI at work

Course overview

A one-day, instructor-led program that gives employees a repeatable way to brief generative AI, improve the relevance of its responses, and apply human judgment to the results. Participants practice with workplace tasks and leave with reusable prompts for their roles.

1 full dayRecommended delivery

6 hoursInstruction and exercises

All levelsNo specialist background required

Hands-onIndividual and team practice

The RICECAR framework

Seven prompt elements help participants define what the AI should do and how a useful response should be shaped.

RRole
Perspective and expertise

IInstruction
Task and expected result

CContext
Relevant background

EExamples
Reference for a good result

CConstraints
Rules, scope and format

AAsk Me
Clarifications needed first

RReflection
Review and improve the output

Course coverage

01 AI prompting fundamentals
02 The RICECAR approach
03 Role and instruction
04 Context and examples
05 Constraints and clarification
06 Reflection and output review
07 Prompt Builder practice
08 Workplace prompt workshop
09 Practical assessment
10 Responsible AI and next steps

Participants will learn to

Build structured prompts using all seven elements.
Provide relevant business context and boundaries.
Identify gaps, ask for clarification, and refine results.
Check outputs for accuracy, relevance, and suitability.
Use AI responsibly and protect confidential information.
Create reusable prompts for their day-to-day work.

Practical outcome: Participants develop two or three prompts relevant to their responsibilities and complete a work-related RICECAR exercise.

Format and audience

For: Corporate employees, managers, executives, technical professionals, business analysts, project managers, and AI champions.

How it works: Instructor explanations and demonstrations, guided exercises, individual assignments, and team-based applications using participants’ own departmental tasks wherever possible.

Responsible use: Confidentiality, approved AI tools, information security, accuracy checks, bias awareness, and human accountability are included throughout.

Learning tool: Claremont AI RICECAR Prompt Builder