1 00:00:04,640 --> 00:00:11,570 In this lesson, we are going to talk about the most frequent types of students we have in this program. 2 00:00:11,570 --> 00:00:12,800 Online program. 3 00:00:12,800 --> 00:00:14,120 In person program. 4 00:00:14,510 --> 00:00:15,560 All of them. 5 00:00:15,560 --> 00:00:17,930 And you will see that. 6 00:00:18,560 --> 00:00:24,260 You're going to find very similar people than yourself and that you are not a strange. 7 00:00:24,260 --> 00:00:29,090 We have people coming from every kind of background you can think of. 8 00:00:33,000 --> 00:00:33,930 So. 9 00:00:34,500 --> 00:00:43,920 The most frequent student profile we have in this program is the person who is starting from scratch. 10 00:00:44,130 --> 00:00:47,610 They don't know anything about programming. 11 00:00:47,610 --> 00:00:55,770 They don't know anything about artificial intelligence, machine learning, a data science, LMS, LM 12 00:00:55,770 --> 00:00:57,000 applications. 13 00:00:57,000 --> 00:00:57,960 They don't know anything. 14 00:00:57,960 --> 00:01:05,519 They they, they, they have like a slight idea of artificial intelligence and ChatGPT. 15 00:01:05,550 --> 00:01:08,190 They are interested, but they don't know anything about it. 16 00:01:08,190 --> 00:01:11,340 So most of you are in that category. 17 00:01:11,340 --> 00:01:13,740 Don't worry, it's totally okay. 18 00:01:14,430 --> 00:01:25,380 The second group we have is a people that has some experience with level one or level two LM applications, 19 00:01:25,380 --> 00:01:27,660 what we call demo toys. 20 00:01:27,750 --> 00:01:32,760 So these people has how have these people a. 21 00:01:33,960 --> 00:01:44,310 Had some experience with a orchestration frameworks like Long Chain or Lambda index or the API of OpenAI. 22 00:01:44,760 --> 00:01:53,040 In some cases, they even have used this kind of toy user interfaces like Streamlit, etc., right? 23 00:01:53,040 --> 00:02:03,420 So they have some level of exposure to LM applications, but in a very frustrating way. 24 00:02:04,010 --> 00:02:12,440 So these are the ones that after doing all this, you know, demo toys, they get like, okay, so how 25 00:02:12,440 --> 00:02:18,650 can I use this in my company or how can I, how can I use this for my portfolio? 26 00:02:18,650 --> 00:02:24,860 Or how can how can I use this in order to start providing services as a consultant or whatever? 27 00:02:24,860 --> 00:02:31,190 And they sadly find out that they cannot because a demo toy. 28 00:02:31,790 --> 00:02:39,620 Uh, what we call level one application demo toy or level two application demo toy with a toy user interface. 29 00:02:39,920 --> 00:02:43,640 They are just a theoretical exercise. 30 00:02:43,640 --> 00:02:49,040 They are not real applications, they are not professional applications. 31 00:02:49,040 --> 00:02:59,210 So we have some people in this group that come to us because they want to do professional job, you 32 00:02:59,210 --> 00:03:05,030 know, so they is like, okay, yeah, this this toy demos, this toy courses are okay. 33 00:03:05,030 --> 00:03:09,380 But I want to do something real with this, uh, with these techniques. 34 00:03:09,380 --> 00:03:18,890 And they will, uh, very soon realize that there is much more in building a professional application 35 00:03:18,890 --> 00:03:23,240 than the the toy demo and the toy user interface. 36 00:03:23,240 --> 00:03:26,090 We will, we will we will talk about that later. 37 00:03:26,830 --> 00:03:35,050 And finally we have what we can call the miscellaneous group, which is every kind of profile you can 38 00:03:35,050 --> 00:03:35,800 think of. 39 00:03:35,830 --> 00:03:44,590 So the more techie, the more business oriented the student, the person which is in professional transition, 40 00:03:44,590 --> 00:03:51,850 the the, the the old person, the young person, the female person, the male person, the whatever 41 00:03:51,850 --> 00:03:52,300 person. 42 00:03:52,300 --> 00:04:01,030 So every kind of profile here and all them are taking advantage of the program, and all them are perfectly 43 00:04:01,030 --> 00:04:05,470 capable of learning how to develop an application. 44 00:04:05,470 --> 00:04:15,850 So the main purpose of this lesson is telling you this program, of course, is for you. 45 00:04:15,850 --> 00:04:17,470 Don't feel strange. 46 00:04:17,470 --> 00:04:24,400 There are many other people like yourself studying in the program, and we are here to help you whenever 47 00:04:24,400 --> 00:04:25,750 you are going to have a problem. 48 00:04:25,750 --> 00:04:29,410 So don't worry about anything, just a. 49 00:04:29,410 --> 00:04:36,730 The important thing is that you find your own rhythm because some people are faster, some others are 50 00:04:36,820 --> 00:04:41,050 slower, and you don't have to get stressed. 51 00:04:41,110 --> 00:04:47,530 Just, you know, if you need more repetition, more study, more practice, just take your time to 52 00:04:47,530 --> 00:04:48,460 do that. 53 00:04:48,460 --> 00:04:53,470 The important thing for you is that your steps are solid. 54 00:04:53,470 --> 00:04:59,710 You know, firm that when you go to the next lesson, you are in charge. 55 00:04:59,710 --> 00:05:03,700 You are in control of the of the lesson that you just completed. 56 00:05:03,700 --> 00:05:04,270 Okay. 57 00:05:04,270 --> 00:05:07,450 So you are the best judge for that. 58 00:05:07,870 --> 00:05:13,390 You will be the person that will decide if you are ready for the next lesson or not. 59 00:05:13,390 --> 00:05:20,590 Okay, so in the next lesson, we are going to talk about one question that we. 60 00:05:22,020 --> 00:05:27,360 Fine frequently, uh, with with some of our students. 61 00:05:27,360 --> 00:05:32,970 So, uh, many times we get this question. 62 00:05:32,970 --> 00:05:44,520 It's like, so should I build an LM application myself, or should I hire an external professional, 63 00:05:44,730 --> 00:05:46,710 uh, to help me with with that? 64 00:05:46,710 --> 00:05:53,160 It's a very interesting question, and you will see what we say in the next lesson.