ZerotoMastery - AI Engineering Bootcamp - Build, Train and Deploy Models with AWS SageMaker

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ZerotoMastery - AI Engineering Bootcamp - Build, Train and Deploy Models with AWS SageMaker

Torrent Contents Size: 1.9 GB

ZerotoMastery - AI Engineering Bootcamp - Build, Train and Deploy Models with AWS SageMaker
▼ show more 72 files
01. AI Engineering Bootcamp Learn AWS SageMaker with Patrik Szepesi - Zer - 1920x1080 2055K.mp4
MP4
17.1 MB
02. Course Introduction - Zer - 1920x1080 278K.mp4
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17.4 MB
03. Setting Up Our AWS Account - Zer - 1920x1080 441K.mp4
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13 MB
04. Set Up IAM Roles + Best Practices - Zer - 1920x1080 484K.mp4
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23.3 MB
05. AWS Security Best Practices - Zer - 1920x1080 468K.mp4
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22 MB
06. Set Up AWS SageMaker Domain - Zer - 1920x1080 453K.mp4
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6.5 MB
07. UI Domain Change - Zer - 1920x1080 606K.mp4
MP4
2.5 MB
08. Setting Up SageMaker Environment - Zer - 1920x1080 416K.mp4
MP4
13.2 MB
09. SageMaker Studio and Pricing - Zer - 1920x1080 429K.mp4
MP4
28.4 MB
10. Setup SageMaker Server + PyTorch - Zer - 1920x1080 342K.mp4
MP4
15.8 MB
11. HuggingFace Models, Sentiment Analysis, and AutoScaling - Zer - 1920x1080 703K.mp4
MP4
91.8 MB
12. Get Dataset for Multiclass Text Classification - Zer - 1920x1080 337K.mp4
MP4
14.9 MB
13. Creating Our AWS S3 Bucket - Zer - 1920x1080 445K.mp4
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12.1 MB
14. Uploading Our Training Data to S3 - Zer - 1920x1080 497K.mp4
MP4
4.6 MB
15. Exploratory Data Analysis - Part 1 - Zer - 1920x1080 422K.mp4
MP4
40 MB
16. Exploratory Data Analysis - Part 2 - Zer - 1920x1080 323K.mp4
MP4
13.8 MB
17. Data Visualization and Best Practices - Zer - 1920x1080 296K.mp4
MP4
26 MB
18. Setting Up Our Training Job Notebook + Reasons to Use SageMaker - Zer - 1920x1080 457K.mp4
MP4
55.7 MB
19. Python Script for HuggingFace Estimator - Zer - 1920x1080 254K.mp4
MP4
28.2 MB
20. Creating Our Optional Experiment Notebook - Part 1 - Zer - 1920x1080 441K.mp4
MP4
9.7 MB
21. Creating Our Optional Experiment Notebook - Part 2 - Zer - 1920x1080 747K.mp4
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18.6 MB
22. Encoding Categorical Labels to Numeric Values - Zer - 1920x1080 453K.mp4
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39.9 MB
23. Understanding the Tokenization Vocabulary - Zer - 1920x1080 286K.mp4
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30.1 MB
24. Encoding Tokens - Zer - 1920x1080 318K.mp4
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25.2 MB
25. Practical Example of Tokenization and Encoding - Zer - 1920x1080 395K.mp4
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32.7 MB
26. Creating Our Dataset Loader Class - Zer - 1920x1080 390K.mp4
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44.6 MB
27. Setting Pytorch DataLoader - Zer - 1920x1080 337K.mp4
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36.7 MB
28. Which Path Will You Take_ - Zer - 1920x1080 227K.mp4
MP4
2.4 MB
29. DistilBert vs. Bert Differences - Zer - 1920x1080 234K.mp4
MP4
7.7 MB
30. Embeddings In A Continuous Vector Space - Zer - 1920x1080 240K.mp4
MP4
12.9 MB
31. Introduction To Positional Encodings - Zer - 1920x1080 229K.mp4
MP4
8.3 MB
32. Positional Encodings - Part 1 - Zer - 1920x1080 384K.mp4
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10.1 MB
33. Positional Encodings - Part 2 (Even and Odd Indices) - Zer - 1920x1080 297K.mp4
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20.9 MB
34. Why Use Sine and Cosine Functions - Zer - 1920x1080 337K.mp4
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12.2 MB
35. Understanding the Nature of Sine and Cosine Functions - Zer - 1920x1080 419K.mp4
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26.9 MB
36. Visualizing Positional Encodings in Sine and Cosine Graphs - Zer - 1920x1080 404K.mp4
MP4
25.2 MB
37. Solving the Equations to Get the Values for Positional Encodings - Zer - 1920x1080 324K.mp4
MP4
39.2 MB
38. Introduction to Attention Mechanism - Zer - 1920x1080 245K.mp4
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5.2 MB
39. Query, Key and Value Matrix - Zer - 1920x1080 236K.mp4
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29.6 MB
40. Getting Started with Our Step by Step Attention Calculation - Zer - 1920x1080 249K.mp4
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13 MB
41. Calculating Key Vectors - Zer - 1920x1080 349K.mp4
MP4
52.3 MB
42. Query Matrix Introduction - Zer - 1920x1080 293K.mp4
MP4
23.7 MB
43. Calculating Raw Attention Scores - Zer - 1920x1080 295K.mp4
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48 MB
44. Understanding the Mathematics Behind Dot Products and Vector Alignment - Zer - 1920x1080 328K.mp4
MP4
31.5 MB
45. Visualizing Raw Attention Scores in 2D - Zer - 1920x1080 310K.mp4
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13 MB
46. Converting Raw Attention Scores to Probability Distributions with Softmax - Zer - 1920x1080 379K.mp4
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24 MB
47. Normalization - Zer - 1920x1080 304K.mp4
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7.6 MB
48. Understanding the Value Matrix and Value Vector - Zer - 1920x1080 296K.mp4
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21.3 MB
49. Calculating the Final Context Aware Rich Representation for the Word _River_ - Zer - 1920x1080 430K.mp4
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33.7 MB
50. Understanding the Output - Zer - 1920x1080 497K.mp4
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5.4 MB
51. Understanding Multi Head Attention - Zer - 1920x1080 345K.mp4
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30 MB
52. Multi Head Attention Example and Subsequent Layers - Zer - 1920x1080 446K.mp4
MP4
33.1 MB
53. Masked Language Learning - Zer - 1920x1080 164K.mp4
MP4
3.2 MB
54. Exercise Imposter Syndrome - Zer - 1920x1080 894K.mp4
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10.5 MB
55. Creating Our Custom Model Architecture with PyTorch - Zer - 1920x1080 293K.mp4
MP4
37.2 MB
56. Adding the Dropout, Linear Layer, and ReLU to Our Model - Zer - 1920x1080 317K.mp4
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33.4 MB
57. Creating Our Accuracy Function - Zer - 1920x1080 296K.mp4
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28 MB
58. Creating Our Train Function - Zer - 1920x1080 355K.mp4
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47.6 MB
59. Finishing Our Train Function - Zer - 1920x1080 367K.mp4
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20.5 MB
60. Setting Up the Validation Function - Zer - 1920x1080 354K.mp4
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34.9 MB
61. Passing Parameters In SageMaker - Zer - 1920x1080 416K.mp4
MP4
11.4 MB
62. Setting Up Model Parameters For Training - Zer - 1920x1080 296K.mp4
MP4
9.9 MB
63. Understanding The Mathematics Behind Cross Entropy Loss - Zer - 1920x1080 359K.mp4
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13.7 MB
64. Finishing Our Script.py File - Zer - 1920x1080 412K.mp4
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20.8 MB
65. Quota Increase - Zer - 1920x1080 549K.mp4
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24.8 MB
66. Starting Our Training Job - Zer - 1920x1080 863K.mp4
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44.5 MB
67. Debugging Our Training Job With AWS CloudWatch - Zer - 1920x1080 606K.mp4
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58.1 MB
68. Analyzing Our Training Job Results - Zer - 1920x1080 707K.mp4
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29.7 MB
69. Creating Our Inference Script For Our PyTorch Model - Zer - 1920x1080 324K.mp4
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19.5 MB
70. Finishing Our PyTorch Inference Script - Zer - 1920x1080 365K.mp4
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23.4 MB
71. Setting Up Our Deployment - Zer - 1920x1080 476K.mp4
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26 MB
72. Deploying Our Model To A SageMaker Endpoint - Zer - 1920x1080 631K.mp4
MP4
36.2 MB
73. Introduction to Endpoint Load Testing - Zero To Mastery Academy - 1920x1080 213K.mp4
MP4
7.9 MB
74. Creating Our Test Data for Load Testing - Zero To Mastery Academy - 1920x1080 230K.mp4
MP4
18.5 MB
75. Upload Testing Data to S3 - Zero To Mastery Academy - 1920x1080 715K.mp4
MP4
4.5 MB
76. Creating Our Model for Load Testing - Zero To Mastery Academy - 1920x1080 782K.mp4
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18.8 MB
77. Starting Our Load Test Job - Zero To Mastery Academy - 1920x1080 621K.mp4
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27.5 MB
78. Analyze Load Test Results - Zero To Mastery Academy - 1920x1080 425K.mp4
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28.2 MB
79. Deploying Our Endpoint - Zero To Mastery Academy - 1920x1080 538K.mp4
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14.4 MB
80. Creating Lambda Function to Call Our Endpoint - Zero To Mastery Academy - 1920x1080 412K.mp4
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28.2 MB
81. Setting Up Our AWS API Gateway - Zero To Mastery Academy - 1920x1080 449K.mp4
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15.9 MB
82. Testing Our Model with Postman, API Gateway and Lambda - Zero To Mastery Academy - 1920x1080 518K.mp4
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20 MB
83. Cleaning Up Resources - Zero To Mastery Academy - 1920x1080 421K.mp4
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8.3 MB
84. Thank You! - Zero To Mastery Academy - 1920x1080 1046K.mp4
MP4
4.3 MB
AI Engineering Bootcamp Build, Train & Deploy Models with AWS SageMaker.txt
TXT
3.3 KB
Bonus Resources.txt
TXT
409.6 B
Get Bonus Downloads Here.url
URL
204.8 B

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