WEBVTT

1
00:00:00.280 --> 00:00:04.779
Welcome to the All Access Data Ex subscription I'm really glad you made it here

2
00:00:04.779 --> 00:00:05.078
You

3
00:00:05.078 --> 00:00:09.672
decided to join an amazing community Uh we are going to be going over all the

4
00:00:09.672 --> 00:00:09.960
things

5
00:00:09.960 --> 00:00:13.310
you need to do to get set up here It should not take that long

6
00:00:13.839 --> 00:00:17.478
So when you uh join here you're going to want to

7
00:00:18.318 --> 00:00:24.207
set up your credentials So uh a lot of these are very easy astronomer easy

8
00:00:24.207 --> 00:00:24.600
Discord

9
00:00:24.638 --> 00:00:29.618
you can just regenerate or uh get the Discord link And then this will um then

10
00:00:29.618 --> 00:00:29.929
you

11
00:00:29.929 --> 00:00:35.985
can go into this right and then this should get you immediately into the Discord

12
00:00:35.985 --> 00:00:36.389
um

13
00:00:36.529 --> 00:00:39.319
the data expert Discord boot camp Uh

14
00:00:39.889 --> 00:00:44.080
that'd be great We do a lot of communication here And then there's gonna be

15
00:00:44.080 --> 00:00:44.359
another

16
00:00:44.490 --> 00:00:48.726
uh Discord for the community if you want to join the other larger community this

17
00:00:48.726 --> 00:00:49.009
Discord

18
00:00:49.009 --> 00:00:53.919
has like 2000 members this one has like 30,000 members They're both really great

19
00:00:53.919 --> 00:00:54.270
Then

20
00:00:54.340 --> 00:00:59.561
uh you're gonna want to um get your GitHub and you'll see here it's saying um it

21
00:00:59.561 --> 00:00:59.868
failed

22
00:00:59.868 --> 00:01:04.520
because I don't have uh my profile So let's go to the uh let's go and edit our

23
00:01:04.520 --> 00:01:04.778
profile

24
00:01:04.778 --> 00:01:10.313
real quick So we're gonna go here to uh GitHub and we're gonna say

25
00:01:10.313 --> 00:01:10.709
www.github.com/exact

26
00:01:11.629 --> 00:01:17.079
All right then we're just gonna save So now our profile is ready to go Then now

27
00:01:17.079 --> 00:01:17.400
if

28
00:01:17.400 --> 00:01:19.638
we go back to here and we retry

29
00:01:20.290 --> 00:01:24.919
See now it says OK you you're already a member of this organization but like if

30
00:01:24.919 --> 00:01:25.209
I

31
00:01:25.219 --> 00:01:29.690
like so you want to make sure that you actually um update your um GitHub

32
00:01:29.690 --> 00:01:29.989
username

33
00:01:29.989 --> 00:01:33.814
and then this will fix right And then this one will also we can also fix that

34
00:01:33.814 --> 00:01:34.040
one

35
00:01:34.120 --> 00:01:37.430
right So um and we should be able to try this one again as well

36
00:01:38.308 --> 00:01:42.278
Oh interesting that one didn't work but like uh this this should work for you

37
00:01:42.799 --> 00:01:44.028
So um

38
00:01:44.638 --> 00:01:49.806
if we go down uh you'll notice we have um all of our different connectors data

39
00:01:49.806 --> 00:01:50.129
bricks

40
00:01:50.250 --> 00:01:54.198
OpenAI Snowflake all of these that you can connect to And you're gonna need

41
00:01:54.198 --> 00:01:54.480
these

42
00:01:54.480 --> 00:01:58.596
when you start learning So what we can do now is we go to start learning and

43
00:01:58.596 --> 00:01:58.838
then

44
00:01:58.838 --> 00:02:03.508
this is gonna open up a tab where there's a lot of cohorts that you can

45
00:02:03.508 --> 00:02:03.799
potentially

46
00:02:03.799 --> 00:02:09.020
join So uh you'll notice here we have like the data engineering skills we have

47
00:02:09.020 --> 00:02:09.368
the

48
00:02:09.368 --> 00:02:12.604
LinkedIn mastery skills all these different cohorts I would recommend picking

49
00:02:12.604 --> 00:02:12.899
one

50
00:02:12.899 --> 00:02:17.096
that uh fits your learning journey like maybe you start with building pipelines

51
00:02:17.096 --> 00:02:17.419
with

52
00:02:17.419 --> 00:02:21.133
iceberg and airflow This is like a good like eight-hour course that like you

53
00:02:21.133 --> 00:02:21.399
would

54
00:02:21.399 --> 00:02:25.508
be able to get a lot into Maybe you're more interested in AI AI can be another

55
00:02:25.508 --> 00:02:25.750
really

56
00:02:25.750 --> 00:02:29.548
solid one or maybe you're more interested in like Snowflake and DBT and if

57
00:02:29.548 --> 00:02:29.819
you're

58
00:02:29.819 --> 00:02:33.553
interested in Snowflake and DBT you can do that Here or maybe you're more

59
00:02:33.553 --> 00:02:33.819
interested

60
00:02:33.819 --> 00:02:37.804
in um data engineering right And you can do like a more data engineering data

61
00:02:37.804 --> 00:02:38.069
bricks

62
00:02:38.110 --> 00:02:42.062
So this one's gonna be like more data bricks and um like delta table then you

63
00:02:42.062 --> 00:02:42.308
have

64
00:02:42.308 --> 00:02:47.287
like um Snowflake and DBT and you have like AI engineering and then um iceberg

65
00:02:47.287 --> 00:02:47.618
So

66
00:02:47.618 --> 00:02:50.528
like for some of you that in the AI engineering you might need to start with

67
00:02:50.528 --> 00:02:50.710
full

68
00:02:50.710 --> 00:02:54.963
stack expert So full stack expert is gonna be more of the basics right So what

69
00:02:54.963 --> 00:02:55.229
you

70
00:02:55.229 --> 00:02:59.574
can do like let's pick one of these Let's go uh with AI engineering So then now

71
00:02:59.574 --> 00:02:59.830
you're

72
00:02:59.830 --> 00:03:03.541
in the AI engineering um course and then you can actually start to go through

73
00:03:03.541 --> 00:03:03.788
the

74
00:03:03.788 --> 00:03:07.704
videos right So this is like the very first video that you can walk through and

75
00:03:07.704 --> 00:03:07.949
then

76
00:03:07.949 --> 00:03:11.740
you can like you can you can go and look at the slides or you can look at the

77
00:03:11.740 --> 00:03:11.939
video

78
00:03:12.308 --> 00:03:16.723
and you'll notice uh this is all about like prompt engineering theory And then

79
00:03:16.723 --> 00:03:17.038
uh

80
00:03:17.050 --> 00:03:21.418
then after that like you can actually go and check out the assignment right So

81
00:03:21.418 --> 00:03:21.710
the

82
00:03:21.710 --> 00:03:24.919
assignment here is going to be linked in this repository right So you'll notice

83
00:03:24.919 --> 00:03:25.149
in

84
00:03:25.149 --> 00:03:29.743
here we have like prompt engineering And here is the um this is the homework

85
00:03:29.743 --> 00:03:30.050
assignment

86
00:03:30.050 --> 00:03:35.141
that you need to uh write So that's how you kind of get access to homework

87
00:03:35.141 --> 00:03:35.460
assignments

88
00:03:35.580 --> 00:03:39.461
And then when you do that like you'll notice when we submit something I'm just

89
00:03:39.461 --> 00:03:39.719
gonna

90
00:03:39.719 --> 00:03:44.304
submit a random file here So now this is gonna submit and then this homework

91
00:03:44.304 --> 00:03:44.610
assignment

92
00:03:44.610 --> 00:03:46.860
will be automatically graded by AI

93
00:03:47.409 --> 00:03:51.010
Uh you just give it just a little bit more time here and it will come back and

94
00:03:51.010 --> 00:03:51.210
it

95
00:03:51.210 --> 00:03:55.566
will say like yes or no It'll give a thumbs up or a thumbs down on like the

96
00:03:55.566 --> 00:03:55.808
homework

97
00:03:55.808 --> 00:04:01.107
grading I I submitted a random file so I probably am gonna fail but Uh like the

98
00:04:01.107 --> 00:04:01.419
the

99
00:04:01.419 --> 00:04:05.913
homework grading here is very very useful because you can get immediate feedback

100
00:04:05.913 --> 00:04:06.258
and

101
00:04:06.258 --> 00:04:09.897
then you can know whether or not you did a good job or not and and keeping in

102
00:04:09.897 --> 00:04:10.099
mind

103
00:04:10.099 --> 00:04:14.928
that like students who actually do hands-on learning and actually get stuff done

104
00:04:14.928 --> 00:04:15.300
these

105
00:04:15.300 --> 00:04:18.549
are the students that are actually successful and learn the material and

106
00:04:18.549 --> 00:04:18.819
actually

107
00:04:18.819 --> 00:04:19.369
finish

108
00:04:19.899 --> 00:04:23.947
right So OK so that just finished Uh sometimes you have to like refresh here But

109
00:04:23.947 --> 00:04:24.199
you'll

110
00:04:24.199 --> 00:04:28.535
see oh yeah see we we failed and then uh you'll notice here it says like thanks

111
00:04:28.535 --> 00:04:28.790
uh

112
00:04:28.920 --> 00:04:31.404
thanks for the submission There's a mismatch between what this assignment

113
00:04:31.404 --> 00:04:31.629
requires

114
00:04:31.629 --> 00:04:36.275
and what you provided right Uh I submitted a DBT project but I meant to you know

115
00:04:36.275 --> 00:04:36.548
it

116
00:04:36.548 --> 00:04:41.206
was looking for markdown files so Uh I got a fail right Because I submitted a a

117
00:04:41.206 --> 00:04:41.480
bad

118
00:04:41.480 --> 00:04:45.884
assignment But so one of the things that you guys might be interested in is uh

119
00:04:45.884 --> 00:04:46.160
certificates

120
00:04:46.319 --> 00:04:50.714
So let's go to an example of a certificate So the AIA the AI boot camp has a

121
00:04:50.714 --> 00:04:50.959
certificate

122
00:04:51.000 --> 00:04:54.928
right So you have like the excellence and attendee certificate and then Uh these

123
00:04:54.928 --> 00:04:55.209
are

124
00:04:55.209 --> 00:04:59.184
all the certificates that are available to the AI um boot camp and then they

125
00:04:59.184 --> 00:04:59.449
require

126
00:04:59.449 --> 00:05:03.158
different amounts of assignments and different amounts of submissions and

127
00:05:03.158 --> 00:05:03.528
minutes

128
00:05:03.528 --> 00:05:07.547
to watch And then once you actually get all of those minutes done then you can

129
00:05:07.547 --> 00:05:07.798
get

130
00:05:07.798 --> 00:05:11.071
this certificate and then you can share it on LinkedIn It's a very powerful way

131
00:05:11.071 --> 00:05:11.290
to

132
00:05:11.290 --> 00:05:14.964
like actually show off that you know what you're doing but it's gonna take time

133
00:05:14.964 --> 00:05:15.209
right

134
00:05:15.290 --> 00:05:18.791
I mean these 4 assignments and 8 hours of content it's gonna take some time and

135
00:05:18.791 --> 00:05:19.009
it's

136
00:05:19.009 --> 00:05:24.485
very involved So definitely know that um that's that's how this works but Uh I'm

137
00:05:24.485 --> 00:05:24.850
really

138
00:05:24.850 --> 00:05:28.489
excited for you to get certified because certified students are way more likely

139
00:05:28.489 --> 00:05:28.769
to

140
00:05:28.769 --> 00:05:35.417
get jobs And uh yeah so that's essentially what is here um on the data expert uh

141
00:05:35.417 --> 00:05:35.809
subscription

142
00:05:35.809 --> 00:05:38.209
product Uh I'm excited for you to check it out more