Module Flow & Required Content
Understand the end-to-end journey for the learner and exactly what to configure for each phase.
Phase 1: Pre-read
Learners will read foundational documents on enterprise prompt frameworks and workflows.
Phase 2: Learn
Learners will explore the fundamentals of prompt engineering, practical techniques, and how prompt structures influence AI outputs.
Phase 3: Playground
Interactive knowledge check comprising multiple-choice and true/false questions on prompt engineering concepts.
Phase 4: Sandbox
A hands-on, 2-step AI prompt exercise to create an executive briefing iteratively.
Module Settings (INFO Step)
Basic Information
Module Title
Prompt Engineering for Everyone
Duration (minutes)
100
Description
Prompt engineering is the practice of designing clear, structured, and purposeful instructions that help AI generate accurate, relevant, and high-quality responses. As AI becomes an integral part of the modern workplace, knowing how to communicate effectively with AI is an essential professional skill. In this module, you will learn the fundamentals of prompt engineering, explore practical prompting techniques, and discover how different prompt structures influence AI outputs. By the end of the module, you will be able to interact with AI confidently and use it more effectively to support a wide range of workplace tasks across different business functions.
Learning Outcomes
Outcome 1
Understand the fundamentals of prompt engineering and how different prompt structures influence AI outputs.
Outcome 2
Build AI workflows through prompt chaining and iterative refinement.
Outcome 3
Design enterprise prompt governance frameworks for reliable and robust AI interactions.
Phase 1: Pre-read
Content 1: Prompt Engineering for Everyone: Module Pre-read
Title
Prompt Engineering for Everyone: Module Pre-read
Type
PDF
Estimated Time
10 mins
URL
https://res.cloudinary.com/defcox81s/image/upload/v1786367193/educatorModules/prompt-engineering-preread_d3jdhe.pdf
Phase 2: Learn
Content 1: Prompt Engineering Tutorial
Title
Prompt Engineering Tutorial
Type
VIDEO
Estimated Time
45 mins
URL
https://youtu.be/_ZvnD73m40o
Content 2: Prompt Engineering
Title
Prompt Engineering
Type
VIDEO
Estimated Time
14 mins
URL
https://youtu.be/aOm75o2Z5-o
Content 3: Improve AI Output Through Iteration
Title
Improve AI Output Through Iteration
Type
VIDEO
Estimated Time
6 mins
URL
https://youtu.be/WsJDWifHVVo
Content 4: Building AI Workflows Through Prompt Chaining
Title
Building AI Workflows Through Prompt Chaining
Type
PDF
Estimated Time
15 mins
URL
https://res.cloudinary.com/defcox81s/image/upload/v1786366281/educatorModules/Building_AI_Workflows_Through_Prompt_Chaining_ruuzyg.pdf
Content 5: Reducing Hallucinations
Title
Reducing Hallucinations
Type
PDF
Estimated Time
15 mins
URL
https://res.cloudinary.com/defcox81s/image/upload/v1786367065/educatorModules/Reducing_Hallucinations_Improving_AI_Reliability_1_rohiti.pdf
Content 6: Advanced Prompting Techniques
Title
Advanced Prompting Techniques
Type
PDF
Estimated Time
15 mins
URL
https://res.cloudinary.com/defcox81s/image/upload/v1786367263/educatorModules/Advanced_Prompting_Techniques_1_czenlo.pdf
Phase 3: Playground
Create an Activity Task mixing MCQ and True/False questions.
Activity Task Details: Basic Information
Challenge Title
Prompt Engineering Fundamentals Check
Challenge Brief
Test your knowledge on prompt chaining, hallucinations, and iterative prompting techniques using this mixed assessment.
Challenge Guide (Point 1)
Review the Phase 2 videos before attempting this knowledge check.
Learning Outcomes & Settings
Learning Outcomes (Add these 3)
Evaluate the purpose of prompt chaining.
Identify methods to reduce AI hallucinations.
Differentiate between correct and incorrect iterative prompting techniques.
Difficulty
Beginner
Estimated time
15
Step 1 (Multiple Choice)
Step type
Multiple Choice
Step Title
Question 1
Step Question
What is the primary benefit of "Prompt Chaining" when building AI workflows?
Options (Correct: Option 2)
It allows the AI to process tasks faster by skipping context.
It breaks down complex tasks into smaller, manageable steps where the output of one prompt becomes the input for the next.
It automatically fact-checks the AI against live internet databases.
Step 2 (True/False)
Step type
True / False
Step Title
Question 2
Step Question
Iterative prompting means sending the exact same prompt repeatedly until the AI provides the desired output by chance.
Correct Answer: False
Step 3 (Multiple Choice)
Step type
Multiple Choice
Step Title
Question 3
Step Question
Which of the following is the most effective way to reduce AI hallucinations in a business context?
Options (Correct: Option 3)
Ask the AI to write more creatively and loosely.
Use fewer constraints to give the AI more freedom to think.
Provide explicit business context, ground the prompt in verifiable facts, and instruct the AI to state when it lacks information.
Step 4 (True/False)
Step type
True / False
Step Title
Question 4
Step Question
An enterprise prompt governance framework should not merely generate answers; it should establish business context, expose limitations, and enforce methodological consistency.
Correct Answer: True
Step 5 (Fill in the Blank)
Step type
Fill in the Blank
Step Title
Question 5
Step Question
Prompt [BLANK] is the technique of breaking down complex tasks into smaller, manageable steps where the output of one prompt becomes the input for the next.
Correct Answer
Chaining
Phase 4: Sandbox
Create a 2-step AI Prompt Activity Task for "The Executive Brief".
Activity Task Details: Basic Information
Challenge Title
The Executive Brief Nobody Agrees On
Challenge Brief
You are an Associate Consultant tasked with preparing a briefing on Generative AI. Previous attempts failed because they were either too technical, too shallow, or ignored governance. Your goal is to use prompt engineering to build a briefing that satisfies all executive stakeholders. You will accomplish this through a 2-step prompt chain.
Challenge Guide (Point 1)
Ensure your prompts establish a solid business context first before adding specific constraints for governance and value drivers.
Learning Outcomes & Settings
Learning Outcomes (Add these 3)
Design an effective foundational prompt.
Apply iterative refinement to address specific stakeholder constraints.
Synthesize technical and business requirements into a cohesive output.
Difficulty
Intermediate
Estimated time
30
Step 1: The Foundation Prompt
Step type
AI Prompt
Step Title
The Foundation Prompt
Step Evaluation
AI + rubric
Step Question
Write a foundational prompt asking the AI to establish the business context and technical capabilities of Generative AI. Instruct the AI to differentiate between predictive and generative AI without being overly academic.
Artifact type
No artifact deliverable
Scoring & Rubric (5 pts total)
Criterion 1: Understand
Weight: 2 pts
Did the learner clearly instruct the AI to cover business context and technical capabilities?
Criterion 2: Apply
Weight: 2 pts
Did the learner effectively ask the AI to differentiate predictive and generative AI?
Criterion 3: Analyze
Weight: 1 pt
Is the prompt structured to prevent overly academic output?
Step 2: Executive Synthesis & Governance
Step type
AI Prompt
Step Title
Executive Synthesis & Governance
Step Evaluation
AI + rubric
Step Question
Take the output from Step 1 and write a second prompt (prompt chaining). Instruct the AI to refine the previous draft by highlighting two actionable business value drivers and incorporating mandatory responsible AI governance constraints (e.g., data privacy). Output the final result as a structured Executive Summary.
Artifact type
No artifact deliverable
Scoring & Rubric (5 pts total)
Criterion 1: Understand
Weight: 1 pt
Does the prompt successfully chain context from the previous step?
Criterion 2: Apply
Weight: 2 pts
Does the prompt explicitly request two actionable business value drivers?
Criterion 3: Evaluate
Weight: 2 pts
Does the prompt successfully integrate responsible AI governance constraints into an Executive Summary format?