Full AI Prompting Course with Andrew Ng
DeepLearningAI · 23,389 words · 117 min read · EN

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It is now 2026 and prompting AI models is very different from when CAT GBT first came out in 2022. Using AI well is one of the most impactful skills you can develop. And people that are not yet at a cutting edge of AI usage often run Intel AI generating frustrating outputs. I want
to make sure you're an expert prompter and can take advantage of today's AI tools which are much more powerful than they were even a year ago. Let's take a look at two different experiences. The AI novice and AI power user. Many AI experts have learned to use it to answer hard questions. In contrast, many
people, including AI noviceses, may have gotten used to using AI for simple questions as if you were prompting it like a Google search. So you ask it, does Taco Bell still have the double deck taco? And maybe you get an answer like that, which is fine. But if you have much harder questions, you can also
ask it of the AI and give it time to think. For example, if you're looking to buy a car, you can upload to most of the commercial services like Chai GPT, Gemini, Anthropics, Claude, or others a set of documents including cost specs, quotes, insurance plans, and ask it what are the trade-offs for these different
cars I'm thinking about and tell it to read everything and to think hard before answering. And this can cause AI to spend many seconds or even minutes to think and then compile a detailed report for you. I find this a huge timesaver for a lot of things I have to do. Another example,
AI power users have learned to provide the right context or the right background information to the AI to set it up for successfully answering your question. In contrast, I see some AI noviceses use a short prompt and hope the AI will fill in the blanks. But if you think of AI as maybe being akin to a
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