Making Things with AI
Stop treating AI like a search engine and start using it as a creative partner. This course teaches you how to direct AI to build real projects, from websites to research reports, using clear and simple language.
About this course
Most people use AI the same way they use a search engine: they type in a few words and hope for the best. When the result is generic or flat, they assume the tool is limited. The reality is that AI is like a brilliant new hire who has no idea how your business works. It has the capability, but it lacks the context. To get great work out of it, you have to stop being a user and start being a director. This course shows you how to manage AI like a high-performing creative team. You will learn to build context from scratch, define what success looks like with examples, and break large projects into phases. We won't spend time on technical theory or coding. We will spend our time building things: websites, research reports, brand artwork, and data tools. By the end of the lessons, you will have a repeatable system for getting useful results from any AI model. You will learn how to iterate with precision and how to ask the AI to check its own work for errors. These communication skills are permanent, even as the technology continues to change.
Details
Skills you'll learn
Precision Directing
Provide the right context and constraints so the AI produces high-quality work without guesswork.
Structured Project Planning
Break large goals into smaller steps that keep the AI focused and accurate throughout a project.
Rapid Iteration
Use specific, actionable feedback to refine a rough draft into a polished final product.
Self-Verification Setup
Direct the AI to audit its own output to catch errors before the work is finished.
Syllabus
4 units • 16 lessons • 13 projects • 4 assessments
Learning activities
Every lesson gives you several ways to learn.
Frequently asked questions
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