The AI-Fluent Professional
More than a billion people have tried AI tools. Most of them plateau — cycling through the same vague prompts, getting the same generic outputs, concluding that AI isn't that useful for serious work. This course closes that gap. You'll learn the specific techniques that transform AI from a slightly smarter search engine into a genuine thought partner for climate work.
Start course →What you'll leave with
- ✓Apply the RACE framework to produce better outputs on the first try
- ✓Use the Sandwich Method to build context-rich prompts that compound over time
- ✓Set up Projects and system instructions for your specific climate role
- ✓Verify AI outputs rigorously and diagnose broken prompts before they cause damage
Course sections
From User to Practitioner
Why most people plateau at casual AI use — and the mindset shift that separates an occasional user from someone who gets consistently good results. The intern-to-chief-of-staff reframe.
Prompting Fundamentals
What makes a prompt work. The RACE framework: Role, Action, Context, Example. Why vague requests produce vague results, and how precision changes the output.
The Sandwich Method
Wrap your prompts with context above and constraints below. Before-and-after examples from real climate work. A systematic approach to context engineering that compounds over time.
System Instructions
Build custom AI personas via system instructions. Claude Projects, Gemini Gems, ChatGPT Custom GPTs — when to use each and how to set them up so they actually stick.
Verification
Prompt ClinicWhy verification is non-negotiable when working with climate data. How to spot hallucinations before they cause damage. The Prompt Clinic: diagnose and fix broken prompts interactively.