So in this lesson, we are going to talk about the three alternative rhythms to study this program.
Beginner with some experience or expert.
So the first thing we highlight here is that we have all been rookies, especially in this super new
field.
So sometimes it's a little bit funny because a.
You.
I mean, all these technologies are so new that this a little bit comic to find a, you know, an expert
in this industry or in this field because I mean, for example, with multimodal LMS, they just appear
so is, is is a little bit a funny to describe yourself as an expert in anything that is just totally
new.
So we have all been rookies and in some of these matters we are all rookies.
So I think it's important to have this in mind.
But with this in mind, a when you approach this program, you have three alternative rhythms.
We call the first one the rhythm of the beginner, the second one the rhythm of a person with some experience,
and the third one the the rhythm of the expert.
So these are our recommendations for you if you are in a any of these categories, if you are starting
to expose yourself to generative AI and programming and applications, etc., probably you are a beginner
if you have some experience in the field, in artificial intelligence or machine learning or programming
software engineering, probably you would be in the second category.
And if you, uh, have been developed, you know, LM applications or multimodal applications or have
been working in LM ops, etc., then you are an expert.
Probably.
So these are our recommendations for different, eh, rhythms, uh, in order to learn in this program
and not get frustrated.
So if you are a beginner, our advice of course, our recommendation is you go from the start to the
end step by step, and we have put a lot of effort in order to make this program simple and easy for
you.
So take your time, you know, slow and easy.
Step by step.
You are going to find different learning styles.
So we have videos, we have presentations.
We have notebooks, we have code.
You know, uh, so you have a lot you have the books, you know, you have different materials because
we know, uh, people are different in their learning style.
So try to find the best, the best one for you and then practice, practice, practice.
As you know, this is the main difference with this.
With this, uh, program, you need to practice everything you you are learning.
And when in doubt, first remember ask GPT, GPT four, which needs what my recommendation is that you
are using chat GPT four as your personal assistant.
And while you are studying this program.
So you have any any doubt or question, the first thing you have to do is to ask GPT chat, GPT four
about that, and if not, use Google, uh, you know, StackOverflow, uh, forums, etc..
No.
And if you still don't find an answer, then ask us, you know, contact us with the different channels
we have and ask as, as the question and we will help you.
If you have some level of experience, if you have already been exposed to LM applications or to some
of the orchestration frameworks we have, or machine learning, artificial intelligence, maybe you
get frustrated with the rhythm of the beginner, uh, in the program.
Right?
So it's like, oh, you know, uh, this intros are too long or the speed is too slow or too repetitive
or too simple.
Whatever.
Hey, just be understanding.
We are addressing the the people that are, uh, starting in the field and they appreciate, you know,
to, to have this slow and easy rhythm.
But if you have some level of experience, you can change, uh, the, the rhythm, you can jump directly
to the interesting sections.
You can, you know, skip the intros.
You can consider using faster video player speed.
You know, it's like, oh, this guy speaks so slowly.
You know, use the faster video player speed, you know, and I will start, uh, and uh.
My recommendation for you is that you use this program as a cheat sheet.
And come back to the program when necessary.
So in many cases, the the professionals, the developers with some experience, they just, you know,
make a quick a scan of the contents of the program and they come back whenever they are working in a,
in a task related with any of the sections.
Right.
So for example, when they are starting, you know, an application, they go to the sections talking
about that when they are working in the RAC, uh technique, they go to the sections talking about the
RAC technique.
When they are talking about, I don't know, databases, LM ops, uh, whatever, you know, deployment,
etc. you have different sections where you can come back when necessary.
So this is going to save you a lot of time.
The important thing for you is to understand what it is in the program where you need to come back.
You know, when you have the, the, the question or the problem and then, you know, you can you can
go very quickly about the program, just, you know, study the interesting parts for you and skip all
the rest.
And if you are an expert, you can do exactly the same thing as we said before for the person with some
level of experience.
But in your case, you are probably going to be even even more, uh, you know, speculative.
So you will just go to the lectures that are interesting for you, you will skip everything else.
And you probably, uh, are already using faster video player speed.
So, uh, the same recommendation, uh, that we, we said for the person with some level of experience
can work for you use the program as, uh, cheat sheet and come back when necessary.
And the only, uh, additional note I will, uh, make for you if you are an expert, a person with,
uh, many years in the field, a senior software engineer, etc. is just be understanding and be nice
about the fact that this program is a specially addressed to to to beginners, especially addressed
to people that are starting or people with some level of experience.
Because let's face it, this field is extremely new, so it's not very frequent to find super expert
in the field.
So the approach we have we have made in the in the program is the main target is going to be the beginner,
also the person with some level of experience.
And for the expert we are we are providing new, uh, new new materials and, you know, a interesting
things for them as well.
But in your case, you may want to run a little bit faster to skip some some areas.
Please don't get impatient.
And please, please don't don't don't don't lose your manners.
You know, uh, when you, when you, when you add in a review that you are super expert, you know,
everything or most of the, the things in the, in the program because a now you know that you are going
to find interesting things and you are going to find things that you will not find in any, any, anywhere
else.
So all the stuff about, uh, multi modal LM applications or uh, you know, Lang Smith in detail,
the new LM ops approach of, of land change, etc., all these things are totally new and I'm sure are
going to be interesting for you, but you will also find some areas that are more a.
Targeted to the beginning.
So please be understanding and be be nice.
Uh, with the with the way we have developed the program.
And a quick note for all, remember this is a bootcamp.
So we put you on the right path and from there you work your way up.
It is very important to to to understand that you need to to be committed, that you need to to be proactive,
that you a need to take responsibility because this is a bootcamp.
This is not a coaching session or a master's degree.
Remember that we have invested many hundreds of hours preparing, preparing this this program.
We have dedicated many months preparing the, the, the material and that we will continue updating
this program.
So if you if you.
Are studying the material since the last the last weeks you have already seen changes.
So we are introducing changes as we see new things happening in the field or as we see we need to update
the content.
Sometimes that is difficult because as you know, the the rhythm of change and evolution in this field
is so fast that, I mean, uh, from the moment you prepare a lesson to the moment you publish it,
sometimes some things have changed.
So for us it is extremely useful.
All the help we get from what we call the honor students that are just regular students that have the,
the, the.
The.
Quality, I would say to take the time to contribute and tell us, you know, in this lesson.
Uh, we can improve the code here with this updated version or in this lesson.
We have found this, this approach that this has become all or whatever.
So we try to to be, you know, a up to every, every, every change and every new thing.
But it is very useful for us, very helpful for us to have this honor student, the honor students,
as we call them.
Uh, that point as the areas where we may, uh, change or update some content.
Okay.
So I think it could be interesting to to understand that you can approach the program in different ways.
And, uh, if you have more experience, you can skip or go faster in many areas.
So please don't get frustrated and understand that each one has to find their own rhythm.