Build An Audio AI App Transcripts
Chapter: Wrap up
Lecture: Conclusion
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0:00
As we wrap up this course, I want to just give you a few parting thoughts.
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First, be sure to go over to the GitHub repository if you haven't already, start it and consider forking it.
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That way you'll have all these resources to take with you and all these examples. Okay.
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And if you have find that there's a problem with the course, you can go over there and submit an issue. Also use a repo for that.
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The URL is at the bottom. So feel free to jump over there. You can also just click the take me to the repo for this course in the player.
0:33
So what's next? You've finished this course. Congratulations on making it to the end.
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Now maybe you're inspired by what you saw and you want to learn more and you want to go deeper.
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Well, in the appendix, I'll talk about how you can keep working on this project and extend it and make it your own.
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But if we're talking about what do you learn next? Well, I have three courses on fast API, which you can check out over at talk, Python training.
0:59
Of course, the first one to start with is modern APIs with fast API.
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There's also the full web apps one, which is kind of what we were doing with it here.
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And if you thought the beanie and MongoDB stuff and async database access was awesome, of course on that.
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And if the async in general, all that async and await stuff, you're like, wow, I never played with that before. How do I do more?
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How do I get better at it? Well, we have again, a whole course on async and await and other types of parallelism in Python.
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If you were inspired by maybe the HTMX aspects and how could you not be? I am endlessly inspired by HTMX. Again, a couple of courses.
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We have one on HTMX and flask, another one, same thing, but Django.
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And if you feel like, oh, my Python could get better, check out Python for the absolute beginner.
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Sounds very, very beginner, but actually it gets pretty advanced and covers a lot of cool
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concepts like if you don't have a CS degree, it teaches you a lot of things you might have learned along that way.
2:00
Finally, if the editor work we've been doing either with PyCharm or VS code was inspiring,
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again, a couple of courses on that a great course on PyCharm and a great course on VS code. All over at talk by the on training.
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Thank you for taking this course with me. And that brings us to your turn. You've got this cool AI sitting next to you.
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Now that you know how to work with lemur and assembly AI, got all the skills you need. What are you going to build? Go build something awesome.
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And if you do shoot me a message, Michael@talkpython.fm or mkennedy@fostadon.org on mastodon and share with me.
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Let me know what you built because I think people are going to build some pretty cool stuff for this course. All right. Thanks. See you later.