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Prompt engineering, the skill of getting useful results from AI models, has spawned a wave of courses almost overnight, and the problem is that the field is so new that much of what is taught is either obvious or unproven. The comparison that matters is whether a course teaches the durable fundamentals of working with AI, rather than a list of tricks that will be outdated within a year.The genuine fundamentals are the things that will outlast any particular model, the clarity of the instruction, the use of examples, the structuring of context, the iterative refinement, and the judgment to know when a model’s answer is wrong. A course built around these principles teaches a transferable skill, while a course built around memorized phrases for a specific model teaches something that breaks the moment the model updates, which is why the field’s most-hyped courses are often the least durable.The pricing spans free to several hundred dollars, and the honest assessment
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