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So in this lesson, we are going to talk about the three alternative rhythms to study this program.

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Beginner with some experience or expert.

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So the first thing we highlight here is that we have all been rookies, especially in this super new

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field.

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So sometimes it's a little bit funny because a.

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You.

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I mean, all these technologies are so new that this a little bit comic to find a, you know, an expert

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in this industry or in this field because I mean, for example, with multimodal LMS, they just appear

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so is, is is a little bit a funny to describe yourself as an expert in anything that is just totally

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new.

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So we have all been rookies and in some of these matters we are all rookies.

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So I think it's important to have this in mind.

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But with this in mind, a when you approach this program, you have three alternative rhythms.

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We call the first one the rhythm of the beginner, the second one the rhythm of a person with some experience,

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and the third one the the rhythm of the expert.

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So these are our recommendations for you if you are in a any of these categories, if you are starting

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to expose yourself to generative AI and programming and applications, etc., probably you are a beginner

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if you have some experience in the field, in artificial intelligence or machine learning or programming

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software engineering, probably you would be in the second category.

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And if you, uh, have been developed, you know, LM applications or multimodal applications or have

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been working in LM ops, etc., then you are an expert.

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Probably.

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So these are our recommendations for different, eh, rhythms, uh, in order to learn in this program

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and not get frustrated.

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So if you are a beginner, our advice of course, our recommendation is you go from the start to the

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end step by step, and we have put a lot of effort in order to make this program simple and easy for

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you.

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So take your time, you know, slow and easy.

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Step by step.

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You are going to find different learning styles.

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So we have videos, we have presentations.

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We have notebooks, we have code.

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You know, uh, so you have a lot you have the books, you know, you have different materials because

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we know, uh, people are different in their learning style.

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So try to find the best, the best one for you and then practice, practice, practice.

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As you know, this is the main difference with this.

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With this, uh, program, you need to practice everything you you are learning.

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And when in doubt, first remember ask GPT, GPT four, which needs what my recommendation is that you

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are using chat GPT four as your personal assistant.

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And while you are studying this program.

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So you have any any doubt or question, the first thing you have to do is to ask GPT chat, GPT four

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about that, and if not, use Google, uh, you know, StackOverflow, uh, forums, etc..

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No.

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And if you still don't find an answer, then ask us, you know, contact us with the different channels

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we have and ask as, as the question and we will help you.

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If you have some level of experience, if you have already been exposed to LM applications or to some

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of the orchestration frameworks we have, or machine learning, artificial intelligence, maybe you

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get frustrated with the rhythm of the beginner, uh, in the program.

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Right?

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So it's like, oh, you know, uh, this intros are too long or the speed is too slow or too repetitive

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or too simple.

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Whatever.

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Hey, just be understanding.

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We are addressing the the people that are, uh, starting in the field and they appreciate, you know,

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to, to have this slow and easy rhythm.

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But if you have some level of experience, you can change, uh, the, the rhythm, you can jump directly

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to the interesting sections.

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You can, you know, skip the intros.

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You can consider using faster video player speed.

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You know, it's like, oh, this guy speaks so slowly.

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You know, use the faster video player speed, you know, and I will start, uh, and uh.

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My recommendation for you is that you use this program as a cheat sheet.

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And come back to the program when necessary.

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So in many cases, the the professionals, the developers with some experience, they just, you know,

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make a quick a scan of the contents of the program and they come back whenever they are working in a,

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in a task related with any of the sections.

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Right.

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So for example, when they are starting, you know, an application, they go to the sections talking

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about that when they are working in the RAC, uh technique, they go to the sections talking about the

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RAC technique.

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When they are talking about, I don't know, databases, LM ops, uh, whatever, you know, deployment,

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etc. you have different sections where you can come back when necessary.

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So this is going to save you a lot of time.

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The important thing for you is to understand what it is in the program where you need to come back.

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You know, when you have the, the, the question or the problem and then, you know, you can you can

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go very quickly about the program, just, you know, study the interesting parts for you and skip all

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the rest.

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And if you are an expert, you can do exactly the same thing as we said before for the person with some

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level of experience.

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But in your case, you are probably going to be even even more, uh, you know, speculative.

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So you will just go to the lectures that are interesting for you, you will skip everything else.

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And you probably, uh, are already using faster video player speed.

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So, uh, the same recommendation, uh, that we, we said for the person with some level of experience

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can work for you use the program as, uh, cheat sheet and come back when necessary.

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And the only, uh, additional note I will, uh, make for you if you are an expert, a person with,

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uh, many years in the field, a senior software engineer, etc. is just be understanding and be nice

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about the fact that this program is a specially addressed to to to beginners, especially addressed

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to people that are starting or people with some level of experience.

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Because let's face it, this field is extremely new, so it's not very frequent to find super expert

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in the field.

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So the approach we have we have made in the in the program is the main target is going to be the beginner,

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also the person with some level of experience.

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And for the expert we are we are providing new, uh, new new materials and, you know, a interesting

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things for them as well.

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But in your case, you may want to run a little bit faster to skip some some areas.

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Please don't get impatient.

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And please, please don't don't don't don't lose your manners.

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You know, uh, when you, when you, when you add in a review that you are super expert, you know,

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everything or most of the, the things in the, in the program because a now you know that you are going

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to find interesting things and you are going to find things that you will not find in any, any, anywhere

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else.

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So all the stuff about, uh, multi modal LM applications or uh, you know, Lang Smith in detail,

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the new LM ops approach of, of land change, etc., all these things are totally new and I'm sure are

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going to be interesting for you, but you will also find some areas that are more a.

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Targeted to the beginning.

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So please be understanding and be be nice.

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Uh, with the with the way we have developed the program.

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And a quick note for all, remember this is a bootcamp.

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So we put you on the right path and from there you work your way up.

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It is very important to to to understand that you need to to be committed, that you need to to be proactive,

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that you a need to take responsibility because this is a bootcamp.

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This is not a coaching session or a master's degree.

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Remember that we have invested many hundreds of hours preparing, preparing this this program.

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We have dedicated many months preparing the, the, the material and that we will continue updating

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this program.

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So if you if you.

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Are studying the material since the last the last weeks you have already seen changes.

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So we are introducing changes as we see new things happening in the field or as we see we need to update

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the content.

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Sometimes that is difficult because as you know, the the rhythm of change and evolution in this field

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is so fast that, I mean, uh, from the moment you prepare a lesson to the moment you publish it,

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sometimes some things have changed.

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So for us it is extremely useful.

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All the help we get from what we call the honor students that are just regular students that have the,

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the, the.

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The.

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Quality, I would say to take the time to contribute and tell us, you know, in this lesson.

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Uh, we can improve the code here with this updated version or in this lesson.

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We have found this, this approach that this has become all or whatever.

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So we try to to be, you know, a up to every, every, every change and every new thing.

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But it is very useful for us, very helpful for us to have this honor student, the honor students,

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as we call them.

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Uh, that point as the areas where we may, uh, change or update some content.

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Okay.

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So I think it could be interesting to to understand that you can approach the program in different ways.

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And, uh, if you have more experience, you can skip or go faster in many areas.

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So please don't get frustrated and understand that each one has to find their own rhythm.