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0.1 - Welcome to GenAI for Workplace Productivity

0.2 - How Skills-First Learning Works

0.3 - How to Learn in This Course

Module 1 — How GenAI Works and Where It Fits

1.1 - What's Changed in AI - and What Hasn't

1.2 - What GenAI Actually Does

1.3 - Tokens, Context Windows & Memory

1.4 - Crossword: GenAI Essentials

1.5 - Four Reasons AI Gets It Wrong

1.6 - The Jagged Frontier: Where AI Fits Your Work

1.7 - Scenario Check: Tom's Policy Question

Module 2 — Choose the Right Tool, Task & Inputs

2.1 - Your AI Toolkit: Tools and Accounts

2.2 - Settings Aren't Permission

2.3 - Is This a Good AI Task?

2.4 - Quiz: Go, Go Carefully, or Don't

2.5 - What Stays Out of AI

2.6 - Read the Source Before You Ask

2.7 - One Task Yes, One Task No

2.8 - Scenario Check: Set the Task Boundary

Module 3 — Prompt With RACE

3.1 - Same Tool, Different Results

3.2 - RACE in Action: Marcus Builds a Shift Schedule

3.3 - Give the Right Information: Role, Context & Examples

3.4 - Pixel Quest: The RACE Run

3.5 - See a Complete RACE Prompt — Then Try It

3.6 - Iterate Like an Editor

3.7 - Build Your Prompt Library

3.8 - Share Your RACE Prompt

3.9 - Scenario Check: Brief the Drafter

Module 4 — Verify Before You Trust

4.1 - The Verification Mindset

4.2 - Three Verification Moves

4.3 - Error Hunt: Catch What AI Missed

4.4 - Check the Math & Reasoning

4.5 - Verification Checklist

4.6 - Elena Verifies the Project Update

4.7 - Share Your Verification Routine

4.8 - Scenario Check: Repair the Details

Module 5 — Put AI to Work: Common Workflows

5.1 - Four Everyday Workflows

5.2 - Tom Handles Customer Replies

 5.3 - Marcus Summarizes Meeting

5.4 - Elena Adapts Tone and Audience

5.5 - Practice a Tough Conversation

5.6 - Share Your Workflow Win

5.7 - Scenario Check: Pick the Right Move

Module 6 — Your AI Habit: Make It Stick

6.1 - Why AI Habits Fade

6.2 - Pick Your Three Tasks

6.3 - The Two-Week Tracker

6.4 - The Monthly Check-In

6.5 - Share Your 30-Day Plan

6.6 - Final Scenario Check: A Month With AI 

Final Quiz — GenAI for Workplace Productivity

Q1 · M1 · Context window

Q2 · M1 · Jagged frontier

Q3 · M2 · Settings are not permission

Q4 · M2 · Choosing the task

Q5 · M2 · What stays out

Q6 · M3 · RACE

Q7 · M3 · Iterating

Q8 · M3 · Prompt library

Q9 · M4 · Checking against the source

Q10 · M4 · Percentages

Q11 · M4 · Bias check

Q12 · M5 · Meeting recap

Q13 · M5 · Adapting for a reader

Q14 · M6 · Choosing habit tasks

Q15 · M6 · Reading the tracker

Conclusion

C.1 - Course Wrap-Up & Next Steps

C.2 - References & Further Reading

C.3 - Your Toolkit: Job Aids and Practice Materials

C.4 - Course Survey

$ (USD)

Welcome to Generative AI for Professionals: Prompt, Verify, and Protect. In today's rapidly evolving workplace, AI literacy is no longer just a buzzword—it is the critical skill hiring managers actively screen for. This comprehensive course provides a practical, three-move roadmap to seamlessly integrate Generative AI into your daily workflow while mitigating risks and maximizing productivity. 

Throughout this program, you will master three essential subskills: structuring highly effective prompts that yield workplace-ready drafts, rigorously verifying AI outputs to catch hallucinations before they leave your desk, and confidently drawing the line on data sensitivity to protect your organization's proprietary information. Through hands-on lessons, you will learn actionable techniques like the Five-Part Framework for prompting, the Four-Field Verification Checklist, and the Red-Yellow-Green Data-Sensitivity system.

Beyond theory, this course immerses you in real-world simulations, branching scenarios, and a comprehensive Capstone Project where you will build a Pilot Proposal. Whether you are automating recurring tasks or navigating high-stakes, ambiguous projects, you will leave with a personalized two-lane workflow redesign. Step into the future of work, boost your efficiency, and become the AI-savvy professional your organization needs. Enroll today and master the art of prompting, verifying, and protecting!

AI-01 - GenAI for Workplace Productivity

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            <p>Generative artificial intelligence has rapidly transitioned from a novel technological experiment to a fundamental requirement in the modern workplace. For non-technical knowledge workers—ranging from human resources and marketing professionals to project managers, accountants, and business analysts—the ability to leverage these tools is no longer optional. It is a core competency that hiring managers now actively screen for. <strong>Generative AI for Professionals: Prompt, Verify, and Protect</strong> is meticulously designed to equip professionals with the strategic frameworks necessary to integrate AI into their daily workflows effectively, critically, and responsibly. Rather than focusing on underlying technical code, this curriculum emphasizes practical, high-stakes application, ensuring that professionals can harness AI to enhance productivity without compromising organizational standards.</p>

<p>Throughout this comprehensive program, participants will master a definitive three-move roadmap essential for modern AI literacy. The coursework begins by deconstructing the mechanics of structuring precise, workplace-ready prompts. Utilizing a proven five-part framework, professionals will learn to feed AI tools real inputs, choose the appropriate platforms, and adapt their prompting strategies for both recurring tasks and high-stakes scenarios. Following this, the curriculum addresses the critical necessity of verification. Participants will apply a rigorous four-field checklist to audit AI-generated drafts, identify common hallucination patterns, and confidently determine whether to repair, re-prompt, or reject outputs before they ever leave the desk.</p>

<p>Finally, the program establishes robust protocols for data protection and workflow management. By utilizing a red-yellow-green data-sensitivity classification system and the Three-Lens Test, professionals will learn to draw clear, defensible boundaries between human and AI responsibilities, safeguarding proprietary and sensitive information. The course culminates in a practical Capstone Project—The Pilot Proposal—where participants will synthesize these three subskills into a comprehensive simulation. By the conclusion of the program, professionals will possess a clear, actionable blueprint for their next thirty days of AI-augmented work, ready to navigate the complexities of generative AI with confidence and precision.</p>
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