Models, Research & Prompt ·
The new class of U. N., redefined Prompt.
English translation of the Chinese original. This version is generated for international readers and may be refined over time.
English translation of the Chinese original. This version is generated for international readers and may be refined over time.
Date: 2026-05-15
U Nda's in a new class.
This is a direct name: AI Proping for everyone.
It is also clear from the course page: Beginner, Andrew Ng, 3 hours and 4 minutes, 21 videos, 3 grounded statements. After completion you can get a certificate through PRO.
If you see the words "prompting", the first reaction is "a further set of hints", which I fully understand.
In the past two years, that word has been mentioned too many times and there is a feeling that it is going to be spoiled.
What an all-powerful prompt, what a divine spell and what a sentence to AI to finish your day. It sounds good, and it's often different: first it's amazing, second it starts running, third it turns out that the template can't save a problem.
So the real interesting part of this class is not that it teaches things like template.
It's like it's reminding the average man: ** don't move, just make it happen.**
A lot of people use the AI pose, which is like going to the window.
Pass the word and wait for the result.
If the result is unsatisfactory, add the following sentence: "A little more professional."
If you're not satisfied, go on, "Be a little more human."
In the end, AI finally wrote a text that seems to work, but you know it's still a little empty.
And then you think this AI is a hot chicken.
Sometimes it's not. In more cases, your mission is not clear.
DeepLearning. AI has three goals: finding information, brainstorms and writing, processing multimedia and simple construction.
Because ordinary people use AI every day, they can't get around these three things: checking, thinking, doing things.
The problem is, these three things all sound like "question AI," but they're not exactly the same kind of mission behind them.
The search for a common sense of the low risk of obsolescence and an updated curriculum, an updated policy and an updated price for products are completely two different things.
It's not the same thing to let AI change your sentence and let it pick up the holes in your article.
It's not the same thing that makes it write a description and makes it a page prototype based on pictures.
So the threshold for prompt is not "How beautifully written."
The threshold is, can you decide what kind of work you want AI to do?
♪ To find information, to be afraid of a serious lie
The first module of the course is Finding Information.
The course page states that this part of the session will be devoted to the situation in which models are available, web search and deep research mode.
I think it's necessary to put this module first.
Because many people now use AI to check the data, the biggest problem is not that they can't find it, but that they can't tell the difference between "like" and "real."
AI's the most confusing place, right here.
** That's what you often say: a serious nonsense.**
It won't throw you a bunch of links like a search engine, so you can fix it yourself. It will be organized directly, with a natural tone, with a clear structure, and even draw a conclusion.
That's what it's all about. AI's Psychic.
It's easy for you to forget: Why does it say that?
The old knowledge that a model has seen in training, the results of a real-time search of a web page, the conclusions that have been cross-checked after a deep search, are completely different.
But on the screen, they may all look like a fluent Chinese.
That's the risk.
So, the first lesson in prompt should not be "How to ask advanced questions," but "Don't hurry to write."
There are some questions that the model can answer with common sense.
Some issues must be linked.
There are some issues that need to be looked at from a few sources.
In some cases, the lack of evidence is insufficient.
That doesn't sound like skill, but it's more important than skill.
AI should not only provide emotional value
The second module is called AI as a Thought Partner.
This title is actually more interesting than "Prompting".
Because a lot of people now write in AI, the biggest problem is not that it can't be written, but that it's so good for you, it's so good to know that it's contagious.
You give it an idea, it says it has potential.
You give it an article that says it's structured and clear.
You let it comment, it lays a soft incentive and gives you a few unsophisticated suggestions.
The main hit is a very emotional value.
But a truly useful partner should not simply follow you, but should be able to counter and comment on your questions.
It should be able to tell you that the title is too flat, that there's not enough evidence to judge, that the reader can't remember the example, that it's like AI, that it's not actually out there.
Say it, AI, no disrespect.
What's missing is that you didn't ask it to be honest.
It's mentioned on the course page that this part will teach you how to give AI the right context, how to make it understand your needs, how to make it work, not just what you want to hear.
This is crucial.
Many of the so-called "go-AI tastes" are not for AI to write more words or make it add a few jokes.
It's about getting into real work.
In real work, editors don't just say "good." The product colleagues do not just say "promising". Users don't buy because you're logical.
So prompt should not just:
"Do me a favor."
The better way is to say the border:
It's written to who.
I'd like to retain that judgement.
What's not moving.
Which expressions do not become marketing words.
You have to focus on the problem.
It's not a long story.
That is clear.
I'm not just writing anymore
The third module is Working with Multimedia & Code.
It is written on the course page that this section deals with the use of pictures, the generation of visual content, and the construction of simple games, websites and applications with AI, without programming experience.
This is a big change.
Early we said prompt, basically in the text box.
A summary of an article.
Another e-mail.
Write a note.
Translator.
But today's AI tool is not just a word machine.
You can throw the picture in and let it see the analysis.
You can make it a visual sketch.
You can make it a small web page, make a small demo, and even run out of an unsophisticated but meaningful prototype.
This is important for non-technical users.
Not because everyone has to learn to write code.
Instead, many of the ideas that used to be made can only be said in words, and now a little can be made first.
A rough page may be easier to understand than a thousand words of documentation.
A flowchart, perhaps less than half an hour to explain.
A small demo with two clicks could reveal a problem you didn't figure out.
That's the real value of AI for ordinary people.
It's not magic for you.
It's for you to move the things in your head to the screen faster.
Who's best for this class
I think it's best for someone already using AI, but it's not easy, it's bad.
You might get AI to summarize, rewrite, translate, start the title every day.
But once a slightly more complex task, such as judgement, evidence-checking, dismantling programmes, writing an opinion-based article, it started to shift the subject and even to say ** drifted away.**
This class is taught by such people, and the benefits should be direct.
They are also suitable for content, products, operations and research.
What these jobs really require is not a collection of 100 prompts, but a clear description of the mission boundaries: what the target is, who the reader is, where the information comes from, what cannot be compiled, and what the final delivery takes.
Also mentioned on the course page is that if you have learned about General AI for everyone or ChatGPT Prognosis for Developmenters, the course can be the next step, but it can be done without prior request.
It certainly has limitations.
If what you're looking for is the full text of the phrase "open and copy," this lesson might not turn you on.
It's more like a lesson to rephrase basic work.
Pure nothing.
And last but not least
Prompt is moving from "dazzling" to "defining tasks."
That's how I feel about this class.
People who will actually use AI later may not be the ones who remember the most.
It's people who know what they want.
He knows when to search, when to dig, when to let AI refute himself, when to stop and check the facts.
And he also knows that an article is not as complete as possible, an answer is not as long as possible, and a prompt is not as complicated as possible.
After all, AI just dropped the implementation costs.
But the cost of judging has not disappeared.
Even higher.
Because you wouldn't have done it before, the problem was obvious.
Now, AI can do something for you, but the problem is deeper.
This door AI Proping for everyone is worth it if it makes more people aware of it.
Stop superstitioning the alarm template.
What really needs to be practiced is your own judgment.