What you'll learn:
- Define what quality AI outputs look like in your work
- Evaluate which factors impact AI outputs
- Evaluate AI outputs
- Spot and navigate most common hallucinations in AI outputs
- Practical ways to improve your prompts at work
- Apply different prompt techniques to prompts to improve quality of outputs
- Select and add data to your prompts to personalize outputs
- Define the jobs to be done so AI understand what you actually need
Employees are using AI tools to create low-effort, passable looking work that ends up creating more work for their coworkers. We define AI workslop as AI generated work content that masquerades as good work, but lacks the substance to meaningfully advance a given task. Of 1,150 U.S. based full-time employees across industries, 40% report having received AI workslop in the last month. It occurs mostly between peers, but 18% of workslop is also sent to managers by direct reports, and 16% of AI workslop comes from managers to their teams, or even from higher up than that.
Harvard Business Review, AI-Generated “Workslop” Is Destroying Productivity
Take this course to make sure your AI work isn't workslop. You'll learn how define and refine prompts that create quality outputs in your daily work.
This is an intermediate AI course, designed for people who use AI regularly at work but need help improving the quality and consistency of their AI responses.
This course skips basic prompting tips (because you've learned that already) and shows you how to write stronger prompts and fix what's not working to get quality AI responses you can actually use at work.
You’ll learn how to:
Follow an easy prompt workflow: A simple workflow: Define → Prompt → Evaluate → Iterate
Evaluate which factors create quality AI outputs (hint: it's not just writing prompts!)
Define the jobs to be done/work tasks so AI understands what you actually need
Add different prompt techniques and levels to prompt building blocks to get responses are structured and usable
Evaluate AI responses instead of guessing if they’re “good”
Spot and navigate hallucinations
Iterate to improve responses instead of starting over
Use AI to help you write better prompts faster, build reusable prompts, prompt libraries for your job
Practical ways to apply this to real work tasks
At the end this course, you'll also get a personalized snapshot of where your AI skills stand and suggestions to move forward.
The goal of this course is to get you from “this is kind of helpful” to “this is actually usable.”
Who this course is for:
You’ve used ChatGPT/Claude/Gemini or other AI tools, but results are inconsistent
You understanding basic prompting, but want better, more reliable outputs
You've taken a prompting course but don't feel like you've leveled up
You've never had a prompting course but you've been prompting and want structure
You can prompt but aren't sure what a "good" response from AI looks like
You use AI for work and need results you can actually use
You feel like you’re guessing instead of improving
Who this course is NOT for:
Complete beginners who have never used AI or prompted (this is not a basic prompting course and assumes you a general understanding of how GenAI is used at work)
Developers looking for API-based or technical prompt engineering
Advanced users building complex AI systems or agents
This course is AI tool agnostic, showing prompt exercises across ChatGPT, Claude, and Gemini.
Note, this course covers prompting for LLM's only, and doesn't include prompting for image or video generation tools, or AI agent prompting.
