This free interactive course will teach product managers hands-on. Claude Code handles daily work, including taking notes, writing product requirements documents (PRD), data analysis and strategic planning, etc. The full course lasts 4 – 6 hours. Just clone the code warehouse and run the claude command, and you can follow the guided course to use agents and file tools without complex pre-configuration. After you finish school, you can improve work efficiency, get instant multi-perspective feedback, and significantly improve productivity without reducing quality.
When I first clicked on this project, I actually didn’t take it seriously. There are too many “AI + productivity” things on GitHub. Changing names and models ultimately teaches you how to ask questions faster.
But this one is different.
It does a set of courses around Claude Code that seems simple: clone a warehouse, run a command, and then follow the prompts to do it step by step. There are no videos, no fancy interfaces, and even a bit “crude”. If you are used to that sophisticated online course, this format can even be a little uncomfortable at first.
But it was in this somewhat “rough” experience that something slowly became clear.
It’s no longer “using AI”.
I am really handing over part of my work.
When I used to use AI, this was probably the feeling:
You have a question, ask it and get an answer.
Writing code, correcting copywriting, and checking information all come and go.
This logic has not changed, it just improves efficiency a little bit.
But what this project does is something else.
It allows AI to enter your work environment directly. Not the chat window, but your files, your projects, your documents. The notes you write, your PRD, your structure, all become objects that it can manipulate.
So things started to change.
When you write a product requirement, you no longer squeeze it out from scratch, but advance it with something that “can understand your entire context.” You ask it to help you organize your ideas, and it will directly change them in the file; you ask it to optimize the structure, but it will not give suggestions, but directly do it.
There will be a very strange feeling at that moment.
You are no longer “improving efficiency”,
You’re more likeOne more colleague who won’t get tired。
There is an interesting part of the course that makes you look at the same thing from different perspectives.
From the user’s perspective, does this function make sense?
From an engineering perspective, this implementation is complex but not complex.
From a product perspective, is this thing worth doing?
In the past, you would have to switch these judgments back and forth yourself. Slow down and get tired, but at least it’s your own thinking.
Now, you can “pull out” these perspectives.
Not substitution, but acceleration.
You will find that many times, it’s not that you don’t know the answer, but that you lack a quick verification process. And AI here just fills in this blank.
Of course, to say that it has “no threshold” is false.
You still need to know some basic environment configuration, know what the command line is doing, and even understand how the API works. These things are still a bit distant for people who have never touched them at all.
But oddly enough, these are not the most difficult parts.
What’s really difficult is another thing.
Can you accept taking out an entire workflow and handing it over to AI to execute part of it?
A lot of people are actually stuck here.
People are accustomed to asking: “Can AI help me write this?”
But few people think: “Can the entire process of this matter be redesigned?”
What this project is doing is this kind of “redesign”.
If I have to say what it has changed, I don’t think it’s at the tool level.
It has not invented any new features, nor is it particularly complex technology.
It just makes one thing clear:
AI is not just something that answers questions, it can participate in work.
When you start looking at it in this way, many things will slowly change.
The way you build products, the way you document them, even the way you think about them, will be different.
This change was very light at first. You don’t even realize how big it is right away.
But over time, you will find that it is difficult for you to return to the state of “working from beginning to end alone”.
Github：https://github.com/carlvellotti/claude-code-pm-course
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