Learn to get exactly what you need from AI — every time
Learn to write clear, powerful prompts that get ChatGPT and Claude to do exactly what you need — every time. No coding, no guesswork, just practical technique you can use today.
"Once you understand what the AI is actually responding to, you stop guessing and start getting exactly what you need."— Sherrie K Licon
What you'll learn
What you'll be able to do
- Write structured prompts that produce consistent, on-target outputs from ChatGPT and Claude
- Use role, context, and constraint layers to control tone, length, and format precisely
- Diagnose and fix weak prompts when AI responses miss the mark
- Build reusable prompt templates for your most common work tasks
- Chain multi-step prompts to tackle complex research, writing, and analysis projects
- Critically evaluate AI output for accuracy, bias, and gaps before acting on it
How it works
A school that adapts to you
This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.
We learn your level
A quick placement check tailors your starting point so you're never bored or lost.
Lessons adapt as you go
Each lesson is written for your pace and your goal, adjusting as your skills grow.
Your AI coach keeps you moving
Checkpoints, feedback, and gentle nudges turn progress into a real result.
The curriculum
What's inside your school
6 modules · 18 lessons
How AI Chat Tools Actually Work
Establishes the mental models learners need before touching a single prompt. Understanding how large language models process input and generate output prevents cargo-cult prompting and gives learners a principled foundation for everything that follows.
- 1.1From Input to Output: What Happens When You Hit SendIncluded
- 1.2The Anatomy of a PromptIncluded
- 1.3ChatGPT vs. Claude: Key Differences That Affect Your PromptsIncluded
The Core Prompting Toolkit
Builds the four fundamental control levers — role, context, format/length, and constraints — one at a time before combining them. Each lesson isolates a single variable so learners can observe its effect cleanly. This module is the direct prerequisite for diagnosis and template-building.
- 2.1Role Prompting: Giving the AI a Job TitleIncluded
- 2.2Context and Background: Feeding the AI What It NeedsIncluded
- 2.3Format and Length Control: Getting the Output You Can Actually UseIncluded
- 2.4Constraints and Guardrails: Ruling Things OutIncluded
Diagnosing and Fixing Weak Prompts
Transforms learners from passive recipients of AI output into active debuggers. Using the toolkit from Module 2 as a diagnostic lens, this module teaches a systematic failure-mode taxonomy and a structured refinement loop. Sequenced here — after core technique but before templates — so learners fix problems before baking them into reusable assets.
- 3.1Reading AI Failures: A Diagnostic FrameworkIncluded
- 3.2The Iterative Refinement LoopIncluded
Building Reusable Prompt Templates
Shifts the unit of work from individual prompts to durable, parameterised assets that save time across recurring tasks. Sequenced after diagnosis so learners encode only patterns that are known to work. Introduces the prompt library as a professional tool analogous to a style guide or a code snippet library.
- 4.1Spotting Your Repetitive AI TasksIncluded
- 4.2Writing and Parameterising Your TemplatesIncluded
- 4.3Building and Maintaining Your Personal Prompt LibraryIncluded
Multi-Step and Chained Prompting
Unlocks complex, multi-stage workflows by teaching learners to decompose large tasks, pass structured context between prompt steps, and orchestrate research, writing, and analysis projects end-to-end. Sequenced after templates so learners can incorporate their reusable assets into chains rather than writing fresh prompts at every step.
- 5.1Decomposing Complex Tasks into Prompt ChainsIncluded
- 5.2Passing Context Forward: The Handoff PromptIncluded
- 5.3Chaining in Practice: Research, Writing, and Analysis ProjectsIncluded
Critically Evaluating AI Output
Closes the course by building the sceptical, verification-oriented mindset that prevents over-reliance on AI. Sequenced last because learners now have enough prompting experience to generate realistic outputs — and enough investment in AI workflows to need a genuine counterweight. This module ensures the course produces responsible, not just efficient, AI users.
- 6.1Hallucinations, Confabulations, and Confident ErrorsIncluded
- 6.2Bias, Gaps, and Hidden AssumptionsIncluded
- 6.3Building Your Personal AI Quality-Control WorkflowIncluded
Who it's for
Is this you?
The Overwhelmed Professional
You use AI occasionally at work but spend more time fixing its outputs than you save — this course gives you the structure to flip that ratio.
The Independent Freelancer
From client briefs to first drafts, you need AI to produce work that's on-brand and on-spec — and prompt templates built around your workflow will get you there.
The Curious Self-Improver
You've watched the demos and read the hype — now you want the practical technique that makes AI genuinely useful in your daily life.
The Cautious Sceptic
You're not sure you can trust AI output, and you're right to wonder — Module 6's quality-control framework was built for exactly your mindset.
The Small Business Owner
You need to produce more — proposals, emails, content, analysis — without hiring more people, and reusable prompt libraries are the leverage you've been missing.
The Research-Heavy Analyst
Complex multi-step projects are your world, and chained prompting will let you break them into AI-assisted workflows that actually hold together from start to finish.
Questions
Frequently asked
Your teacher
A note from your teacher
Sherrie K Licon
If you're here, I'm guessing you've already had both experiences with AI chat tools: the moment it produced something that made your jaw drop, and the moment it confidently delivered complete nonsense. Maybe you've started to wonder if the people getting consistently great results from these tools just know something you don't.
They do. And it's not that complicated — which is the most frustrating part, honestly. It's not about being technical, or using secret commands, or spending hours on prompt engineering forums. It's about understanding what's actually happening when you send a message, and then applying a small set of learnable techniques to shape what comes back. That's the whole game.
I built Prompt Craft because I kept watching smart, capable people use AI like a search engine with better grammar — throwing vague questions at it and hoping for the best. Once you understand how role, context, format, and constraints actually work together, you stop hoping and start directing. You write a prompt that defines the AI's job, gives it what it needs to know, tells it exactly how to respond, and rules out the stuff you don't want. The outputs change dramatically. So does the time you spend fixing them.
What I want you to leave with isn't just better prompts — it's a durable system. Reusable templates built around your real tasks. A diagnostic instinct for when something's gone wrong and why. The ability to chain prompts across a complex project like a research brief or a full draft-and-edit cycle. And, critically, a healthy scepticism about AI output — because knowing when not to trust it is just as valuable as knowing how to generate it in the first place.
This course won't make AI do magic. But it will make you the person in the room who actually knows how to use it — consistently, efficiently, and without flying blind.
— Sherrie K Licon
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- 6 modules, 18 lessons
- AI-adaptive lessons tuned to your level
- Quizzes & checkpoints to lock in progress
- Your own AI learning coach
- Learn on any device, at your pace
- Full access for as long as you're subscribed