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Okay, so now that you are familiar and you are comfortable with the fast API tutorial, let's talk

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about a an initial exercise of combining one of our orchestration frameworks, in this case long chain

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with a fast API.

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So in the slides you have in the attached materials and also in the notebook that you have there, and

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in the coding project you have in the GitHub repository, you are going to find a very good example

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to combine fast API and long chain.

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This is a very interesting example developed by Tim Leers.

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And we are including including here a link to the blog of Tim, where he explains step by step how to

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a how to implement the fast API and long chain project he has built.

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You also have a link to the code in his GitHub repository, but this is the same code you are going

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to find in the A programs in our program GitHub repository.

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So you can use either of them.

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And there in the you are going to find instructions to clone the project and also instructions to about

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how to initialize this back end on your computer.

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So the interesting thing about this introduction about a full stack applications is that you have started

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to become familiar with the main concepts, you have started to try different pieces.

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And in the previous lesson you have built an initial solution for the front end, and now you are building

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an initial solution for the back end.

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So a full stack application is both thing together.

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So the front end and the back end are two sides of the same coin.

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And in the next blog we are going to work in level three applications with both parts together.

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Remember, a full stack application is built on front with front end, back end, but also databases,

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APIs, LMS, etc. etc. etc. so this blog has been a very good approach to what we are going to find

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in the next blog, where we will start practicing with level three applications.

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Remember, the way we are asking you to work is the real world way.

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If I repeat, if we teach you one technique, this technique is going to be obsolete in a few months.

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If we teach you a way of working, this is going to stay with you forever.

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That's why it is very important for you to practice.

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All these recommendations we provide to you in this blog.

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Go to the tutorial and learn and practice until you feel comfortable in this.

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In the case of Next.js, in the case of.

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In the case of Vercel.

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In the case of lamb, create llama in the case of fast API in this case as well.

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Okay, so we do this for you because this is the best way for you to be prepared as a artificial intelligence

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engineer and to be ready for the job market.

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Don't think we do this for any kind of extravagant approach.

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We are doing this because we know by our experience, this is the best way to give you the knowledge

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you need and the experience you need, and the kind of practice you need to be ready for the job market.

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Okay, so please don't avoid completing the steps.

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We have a we have given you in this blog and when you are ready, when you are comfortable, go to the

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next blog.

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And I repeat for some people this is going to take a few hours and for others is going to take several

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days.

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Don't worry.

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The important thing is that you go to your own rhythm and your own rhythm.

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A is the one that tells you where you are comfortable with what you are learning.

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So please do not advance until you feel comfortable with the current lesson in each case.

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Okay?

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So please go ahead with this, uh, exercise.

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And when you are comfortable and ready, uh, we will go to the next section where we are going to start

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talking about level three applications and how to start practicing with them.