1 00:00:04,730 --> 00:00:11,690 In this lesson, we are going to talk about the evolution of artificial intelligence engineering, and 2 00:00:11,690 --> 00:00:16,250 also about the training of the new AI engineers. 3 00:00:16,820 --> 00:00:23,870 Remember that you will have detailed information about this topic in the attached materials, especially 4 00:00:23,870 --> 00:00:28,970 in the chapter three of the book, Keys to Artificial Intelligence. 5 00:00:29,660 --> 00:00:41,960 So remember at this point, the internet revolution as well, and see that one central new role, new 6 00:00:41,960 --> 00:00:49,040 job that the internet revolution created was the what we call the full stack app engineer. 7 00:00:49,490 --> 00:00:58,580 So the internet brought a different kind of applications, a what we today call full stack applications, 8 00:00:58,580 --> 00:01:07,700 with the back end side and the front end side, etc., etc. and you have a different teams working on 9 00:01:07,700 --> 00:01:10,220 each of these sides of the full stack apps. 10 00:01:10,220 --> 00:01:18,470 But you also have what we call the full stack app engineer, which is a person with the knowledge to 11 00:01:18,470 --> 00:01:22,970 understand what is happening in both sides of a full stack application. 12 00:01:23,120 --> 00:01:30,410 And this full stack application engineer is the right person to become a CTO. 13 00:01:30,440 --> 00:01:30,770 Why? 14 00:01:30,800 --> 00:01:35,750 Because you have a global understanding of what is happening in your application. 15 00:01:35,750 --> 00:01:43,580 If you are a front end engineer or a back end engineer, you know a lot of just one side of the product. 16 00:01:43,580 --> 00:01:51,020 But the full stack engineer has a broader, uh, view and understanding of, uh, what is happening. 17 00:01:51,020 --> 00:01:53,690 So what? 18 00:01:55,260 --> 00:02:01,020 Happening at the internet, in the internet, during the internet revolution is happening as well in 19 00:02:01,020 --> 00:02:03,630 this artificial intelligence revolution. 20 00:02:03,630 --> 00:02:09,990 So what has been happening in the engineering side? 21 00:02:10,699 --> 00:02:14,930 Building artificial intelligence applications in a company. 22 00:02:15,520 --> 00:02:19,750 Used to require skills from different professionals. 23 00:02:19,750 --> 00:02:28,030 Remember I told you that a years ago you needed at least three kinds of, uh, professionals the machine 24 00:02:28,030 --> 00:02:31,780 learning engineer, the software engineer, and the product manager. 25 00:02:32,300 --> 00:02:39,650 And these skills were learned in separate programs for different professionals. 26 00:02:41,260 --> 00:02:49,120 But now integrated programs are emerging to train what we call the new AI engineers. 27 00:02:49,120 --> 00:02:51,040 This is one of these programs. 28 00:02:52,160 --> 00:03:03,110 So before we needed a team of different professionals, now with just one professional, we can build 29 00:03:03,110 --> 00:03:05,180 the AI application. 30 00:03:05,960 --> 00:03:10,670 Remember that AI applications can be of various types. 31 00:03:10,970 --> 00:03:21,830 We have artificial intelligence applications based on images, videos, audio numbers, but the universalization 32 00:03:21,830 --> 00:03:30,680 of artificial intelligence in the company comes mainly from what we call LM applications. 33 00:03:31,040 --> 00:03:37,370 So artificial intelligence applications based on language. 34 00:03:38,920 --> 00:03:43,450 Which will soon evolve to become multi-modal applications. 35 00:03:43,450 --> 00:03:44,530 So. 36 00:03:45,160 --> 00:03:51,880 We are right now in a very exciting moment around artificial intelligence engineering, because we are 37 00:03:51,880 --> 00:04:02,650 seeing the birth of a new kind of engineer that is going to be central and also the birth of a new. 38 00:04:03,480 --> 00:04:06,870 A kind of application that is going to be central. 39 00:04:06,870 --> 00:04:14,070 The Elm application is the most promising kind of application in the artificial intelligence world, 40 00:04:14,070 --> 00:04:20,310 and is the best suited to evolve into multimodal applications. 41 00:04:22,170 --> 00:04:25,350 So right now, how are. 42 00:04:25,990 --> 00:04:33,190 The new artificial intelligence engineers train right now. 43 00:04:33,340 --> 00:04:43,780 These AI engineers are a kind of hybrid between machine learning and engineers, software engineers 44 00:04:43,780 --> 00:04:45,610 and product managers. 45 00:04:45,610 --> 00:04:54,970 And you are seeing today the emergence of a new kind of training programs. 46 00:04:55,000 --> 00:05:05,500 99% of the universities still don't have the AI engineer training the AI engineer education in their 47 00:05:05,500 --> 00:05:15,190 curriculum, but companies like our company AI accelerator have developed this new integral programs. 48 00:05:15,190 --> 00:05:18,460 As you will see in the part two of this program. 49 00:05:19,240 --> 00:05:22,390 This program is a very different kind of program. 50 00:05:23,020 --> 00:05:27,070 A and you will see that it includes. 51 00:05:28,210 --> 00:05:30,790 Use cases for LM applications. 52 00:05:30,790 --> 00:05:37,420 Basic concepts for LMS architecture of LM applications. 53 00:05:38,140 --> 00:05:42,970 Basic concepts of Rag and other techniques. 54 00:05:42,970 --> 00:05:49,300 We will study orchestration frameworks like long chain Lambda index OpenAI. 55 00:05:49,480 --> 00:05:57,280 We will talk about new tools like Lang, Smith, lang, Cerf, lang, chain expression language, lang 56 00:05:57,280 --> 00:05:59,020 lang chain templates. 57 00:05:59,440 --> 00:06:02,020 We will talk about programming. 58 00:06:02,920 --> 00:06:09,430 We will talk about how to understand programming within the LM app development. 59 00:06:09,640 --> 00:06:12,340 We will talk about development environment. 60 00:06:12,370 --> 00:06:19,630 We will talk about different levels of applications from the toy demo to the professional application. 61 00:06:19,630 --> 00:06:24,100 We will call this level one, level two and level three applications. 62 00:06:24,190 --> 00:06:27,550 We will talk about full stack applications. 63 00:06:27,550 --> 00:06:31,150 We will talk about speed cost. 64 00:06:31,970 --> 00:06:42,230 Lamb chops, etc. etc. etc. so if you look at the detailed curriculum that we have for the part two 65 00:06:42,230 --> 00:06:50,090 of this program, you will see how the new AI engineers are being trained. 66 00:06:51,610 --> 00:06:59,560 So in this lesson, we have been talking a little bit about the evolution of AI engineering and the 67 00:06:59,560 --> 00:07:03,430 evolution of the training of the new AI engineers. 68 00:07:03,430 --> 00:07:10,000 You will see many more details about that in the book you have in the attached materials. 69 00:07:10,210 --> 00:07:18,070 And in the next lesson, we are going to start talking about the changes that Artificial intelligence 70 00:07:18,070 --> 00:07:21,430 is introducing in the business area. 71 00:07:21,670 --> 00:07:28,960 You will see that many of these changes we have been talking about in the employment area, in the jobs 72 00:07:28,960 --> 00:07:32,590 area, are going to impact in business as well. 73 00:07:33,040 --> 00:07:39,580 So let's see what is going to happen or what is happening already in the business side.