1
00:00:06,430 --> 00:00:15,160
In this lesson, we will review the programs curriculum and we will see what will you be able to do

2
00:00:15,370 --> 00:00:16,960
when you finish the program?

3
00:00:23,040 --> 00:00:27,210
What will you be able to do after completing this program?

4
00:00:28,150 --> 00:00:34,450
You will add to your resume that you are an artificial intelligence expert.

5
00:00:35,300 --> 00:00:38,630
Not just theoretically, but also practically.

6
00:00:39,440 --> 00:00:46,640
You will be able to identify areas where artificial intelligence can be introduced in a company.

7
00:00:47,850 --> 00:00:54,750
You will be able to implement an Artificial Intelligence introduction plan in a company.

8
00:00:55,520 --> 00:01:03,470
You will understand what an artificial intelligence application is and the types of artificial intelligence

9
00:01:03,470 --> 00:01:05,690
applications that exist.

10
00:01:06,600 --> 00:01:14,160
You will move confidently among the different components of artificial intelligence technology Python,

11
00:01:14,160 --> 00:01:25,470
long chain Lambda Index, OpenAI fast API, Next.js, Vercel, render, AWS Lang, Smith Lang, Cerf,

12
00:01:25,470 --> 00:01:29,640
etc. all them will become familiar tools to you.

13
00:01:31,180 --> 00:01:37,330
You will be able to build LLM applications, the artificial intelligence applications with the most

14
00:01:37,330 --> 00:01:41,230
market potential from scratch to a professional level.

15
00:01:41,980 --> 00:01:49,480
You will know in which areas new artificial intelligence startups are being created and how to use your

16
00:01:49,480 --> 00:01:51,730
knowledge to start one.

17
00:01:56,240 --> 00:02:01,670
This bootcamp has the same contents as our in-person master.

18
00:02:03,000 --> 00:02:08,850
For each lesson, we will present the general outline of the lesson in the video.

19
00:02:09,570 --> 00:02:16,560
We will give you the material to complete the study on your own and in the practical lessons we will

20
00:02:16,560 --> 00:02:21,270
give you, solve exercises for you to repeat them and practice.

21
00:02:21,750 --> 00:02:27,000
It will be your job to repeat until you until you master the lesson.

22
00:02:28,210 --> 00:02:33,490
Remember, this is a bootcamp and your commitment is key.

23
00:02:36,320 --> 00:02:38,570
This bootcamp has two parts.

24
00:02:39,530 --> 00:02:43,250
The initial part is about the new artificial intelligence.

25
00:02:43,640 --> 00:02:47,690
The second part is about LM app development.

26
00:02:48,770 --> 00:02:52,610
In the first part we have the following chapters.

27
00:02:53,220 --> 00:03:01,230
The new artificial intelligence, what it is, why it is interesting now and why it is so important.

28
00:03:02,690 --> 00:03:06,380
Changes introduced by the new artificial intelligence.

29
00:03:06,380 --> 00:03:07,610
Introduction.

30
00:03:09,240 --> 00:03:12,930
Changes in employment opportunities and threats.

31
00:03:14,550 --> 00:03:20,550
Training in the new artificial intelligence key to accessing new jobs.

32
00:03:21,680 --> 00:03:23,300
Changes in the company.

33
00:03:23,570 --> 00:03:25,310
Opportunities and threats.

34
00:03:26,200 --> 00:03:29,650
Introduction of artificial intelligence in the company.

35
00:03:30,910 --> 00:03:36,010
Artificial intelligence startups opportunities to create new businesses.

36
00:03:37,210 --> 00:03:42,940
Consulting firms, business advice, advisory services and marketing agencies.

37
00:03:43,120 --> 00:03:48,310
Business opportunities for these companies in the new artificial intelligence market.

38
00:03:50,340 --> 00:03:56,790
In the second part of the program, we will see everything about development of LM apps.

39
00:03:57,870 --> 00:03:59,790
We will see the following chapters.

40
00:04:00,390 --> 00:04:03,630
Use cases for LM applications.

41
00:04:04,140 --> 00:04:06,810
Basic concepts of LMS.

42
00:04:07,610 --> 00:04:10,790
Basic concepts of LM applications.

43
00:04:11,670 --> 00:04:14,340
Architecture of an LM application.

44
00:04:15,100 --> 00:04:18,310
Basic concepts of the rack technique.

45
00:04:19,120 --> 00:04:20,920
Orchestration frameworks.

46
00:04:20,920 --> 00:04:24,490
Long chain lambda index OpenAI.

47
00:04:25,560 --> 00:04:26,940
Basic long chain.

48
00:04:27,690 --> 00:04:28,320
Long chain.

49
00:04:28,320 --> 00:04:29,610
Expression language.

50
00:04:30,030 --> 00:04:30,540
Lang.

51
00:04:30,540 --> 00:04:31,140
Smith.

52
00:04:31,680 --> 00:04:32,220
Lang.

53
00:04:32,220 --> 00:04:32,820
Cerf.

54
00:04:33,330 --> 00:04:34,650
Lang Lang.

55
00:04:34,650 --> 00:04:35,970
Chain templates.

56
00:04:36,390 --> 00:04:36,930
Lang.

57
00:04:36,930 --> 00:04:37,380
Chain.

58
00:04:37,410 --> 00:04:37,950
Chatbot.

59
00:04:39,210 --> 00:04:42,120
Introduction to the programming exercise block.

60
00:04:43,230 --> 00:04:45,930
Basic programming and LM apps.

61
00:04:46,350 --> 00:04:47,160
Python.

62
00:04:47,160 --> 00:04:49,950
Fast API JavaScript.

63
00:04:49,950 --> 00:04:50,910
React.

64
00:04:50,910 --> 00:04:52,080
Next.js.

65
00:04:52,890 --> 00:04:56,040
Basic concepts of the development environment.

66
00:04:57,670 --> 00:04:59,500
Level one applications.

67
00:05:00,040 --> 00:05:01,690
Toy demos with long chain.

68
00:05:02,890 --> 00:05:04,720
Level two applications.

69
00:05:05,170 --> 00:05:09,970
Toy demos with long chain and streamlined Streamlit UI.

70
00:05:11,370 --> 00:05:12,630
Llama index.

71
00:05:13,230 --> 00:05:18,300
OpenAI API introduction to full stack applications.

72
00:05:19,310 --> 00:05:27,230
Level three applications, full stack apps with long chain Lambda Index, fast API, and Next.js.

73
00:05:28,630 --> 00:05:29,980
LM applications.

74
00:05:29,980 --> 00:05:31,750
Advanced concepts.

75
00:05:32,470 --> 00:05:34,930
Latency speed of LM.

76
00:05:34,930 --> 00:05:35,980
Applications.

77
00:05:36,560 --> 00:05:39,530
Cost control of film applications.

78
00:05:40,440 --> 00:05:42,990
LM ops evaluation.

79
00:05:42,990 --> 00:05:44,280
Observability.

80
00:05:44,310 --> 00:05:47,460
Guardrails, monitoring, etc..

81
00:05:47,940 --> 00:05:54,450
And finally, how artificial intelligence engineers stay informed.

82
00:05:57,160 --> 00:06:01,900
By the end of this program, you will master all these concepts.

83
00:06:02,470 --> 00:06:03,970
Generative AI.

84
00:06:04,870 --> 00:06:06,430
Foundation models.

85
00:06:07,000 --> 00:06:08,230
Embeddings.

86
00:06:08,260 --> 00:06:10,090
Vector databases.

87
00:06:10,120 --> 00:06:11,860
Semantic search.

88
00:06:11,980 --> 00:06:13,630
Prompt engineering.

89
00:06:13,720 --> 00:06:15,730
Orchestration frameworks.

90
00:06:15,760 --> 00:06:17,710
Autonomous agents.

91
00:06:18,040 --> 00:06:19,210
LM apps.

92
00:06:19,540 --> 00:06:22,390
LM Ops and Fine tuning.

93
00:06:24,100 --> 00:06:28,330
In this lesson, we have review the program's curriculum.

94
00:06:28,330 --> 00:06:30,910
As you have seen, we have a lot of.

95
00:06:33,530 --> 00:06:33,830
We have.

96
00:06:33,830 --> 00:06:42,110
Also see what you will be able to do next, what you will be able to do when you finish this program.

97
00:06:43,180 --> 00:06:47,320
In the next lesson we are going to see the included materials.

98
00:06:47,800 --> 00:06:54,130
The two books included in the program, the more than 200 presentations and notebooks included in the

99
00:06:54,130 --> 00:07:02,290
program, and the more than 100 coding programs coding projects that are included with the program.