Okay, so now that you are familiar and you are comfortable with the fast API tutorial, let's talk
about a an initial exercise of combining one of our orchestration frameworks, in this case long chain
with a fast API.
So in the slides you have in the attached materials and also in the notebook that you have there, and
in the coding project you have in the GitHub repository, you are going to find a very good example
to combine fast API and long chain.
This is a very interesting example developed by Tim Leers.
And we are including including here a link to the blog of Tim, where he explains step by step how to
a how to implement the fast API and long chain project he has built.
You also have a link to the code in his GitHub repository, but this is the same code you are going
to find in the A programs in our program GitHub repository.
So you can use either of them.
And there in the you are going to find instructions to clone the project and also instructions to about
how to initialize this back end on your computer.
So the interesting thing about this introduction about a full stack applications is that you have started
to become familiar with the main concepts, you have started to try different pieces.
And in the previous lesson you have built an initial solution for the front end, and now you are building
an initial solution for the back end.
So a full stack application is both thing together.
So the front end and the back end are two sides of the same coin.
And in the next blog we are going to work in level three applications with both parts together.
Remember, a full stack application is built on front with front end, back end, but also databases,
APIs, LMS, etc. etc. etc. so this blog has been a very good approach to what we are going to find
in the next blog, where we will start practicing with level three applications.
Remember, the way we are asking you to work is the real world way.
If I repeat, if we teach you one technique, this technique is going to be obsolete in a few months.
If we teach you a way of working, this is going to stay with you forever.
That's why it is very important for you to practice.
All these recommendations we provide to you in this blog.
Go to the tutorial and learn and practice until you feel comfortable in this.
In the case of Next.js, in the case of.
In the case of Vercel.
In the case of lamb, create llama in the case of fast API in this case as well.
Okay, so we do this for you because this is the best way for you to be prepared as a artificial intelligence
engineer and to be ready for the job market.
Don't think we do this for any kind of extravagant approach.
We are doing this because we know by our experience, this is the best way to give you the knowledge
you need and the experience you need, and the kind of practice you need to be ready for the job market.
Okay, so please don't avoid completing the steps.
We have a we have given you in this blog and when you are ready, when you are comfortable, go to the
next blog.
And I repeat for some people this is going to take a few hours and for others is going to take several
days.
Don't worry.
The important thing is that you go to your own rhythm and your own rhythm.
A is the one that tells you where you are comfortable with what you are learning.
So please do not advance until you feel comfortable with the current lesson in each case.
Okay?
So please go ahead with this, uh, exercise.
And when you are comfortable and ready, uh, we will go to the next section where we are going to start
talking about level three applications and how to start practicing with them.