DevCourseWeb com ZerotoMastery AI Engineering Bootcamp Build Train and Deploy Models with AWS SageMaker

DevCourseWeb com ZerotoMastery AI Engineering Bootcamp Build Train and Deploy Models with AWS SageMaker

Name	[ DevCourseWeb.com ] ZerotoMastery - AI Engineering Bootcamp - Build, Train and Deploy Models with AWS SageMaker	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.0 GB
Total Files	87
Last Seen	2025-07-19 00:46
Hash	0FC782361D4B9D92D4AD604705018F0608C3396E

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01. AI Engineering Bootcamp Learn AWS SageMaker with Patrik Szepesi - Zer - 1920x1080 2055K.mp4	18.0 MB
02. Course Introduction - Zer - 1920x1080 278K.mp4	18.3 MB
03. Setting Up Our AWS Account - Zer - 1920x1080 441K.mp4	13.7 MB
04. Set Up IAM Roles + Best Practices - Zer - 1920x1080 484K.mp4	24.5 MB
05. AWS Security Best Practices - Zer - 1920x1080 468K.mp4	23.1 MB
06. Set Up AWS SageMaker Domain - Zer - 1920x1080 453K.mp4	6.8 MB
07. UI Domain Change - Zer - 1920x1080 606K.mp4	2.6 MB
08. Setting Up SageMaker Environment - Zer - 1920x1080 416K.mp4	13.9 MB
09. SageMaker Studio and Pricing - Zer - 1920x1080 429K.mp4	29.8 MB
10. Setup SageMaker Server + PyTorch - Zer - 1920x1080 342K.mp4	16.6 MB
11. HuggingFace Models, Sentiment Analysis, and AutoScaling - Zer - 1920x1080 703K.mp4	96.2 MB
12. Get Dataset for Multiclass Text Classification - Zer - 1920x1080 337K.mp4	15.6 MB
13. Creating Our AWS S3 Bucket - Zer - 1920x1080 445K.mp4	12.7 MB
14. Uploading Our Training Data to S3 - Zer - 1920x1080 497K.mp4	4.8 MB
15. Exploratory Data Analysis - Part 1 - Zer - 1920x1080 422K.mp4	42.0 MB
16. Exploratory Data Analysis - Part 2 - Zer - 1920x1080 323K.mp4	14.4 MB
17. Data Visualization and Best Practices - Zer - 1920x1080 296K.mp4	27.2 MB
18. Setting Up Our Training Job Notebook + Reasons to Use SageMaker - Zer - 1920x1080 457K.mp4	58.4 MB
19. Python Script for HuggingFace Estimator - Zer - 1920x1080 254K.mp4	29.6 MB
20. Creating Our Optional Experiment Notebook - Part 1 - Zer - 1920x1080 441K.mp4	10.1 MB
21. Creating Our Optional Experiment Notebook - Part 2 - Zer - 1920x1080 747K.mp4	19.5 MB
22. Encoding Categorical Labels to Numeric Values - Zer - 1920x1080 453K.mp4	41.8 MB
23. Understanding the Tokenization Vocabulary - Zer - 1920x1080 286K.mp4	31.5 MB
24. Encoding Tokens - Zer - 1920x1080 318K.mp4	26.4 MB
25. Practical Example of Tokenization and Encoding - Zer - 1920x1080 395K.mp4	34.3 MB
26. Creating Our Dataset Loader Class - Zer - 1920x1080 390K.mp4	46.7 MB
27. Setting Pytorch DataLoader - Zer - 1920x1080 337K.mp4	38.5 MB
28. Which Path Will You Take_ - Zer - 1920x1080 227K.mp4	2.5 MB
29. DistilBert vs. Bert Differences - Zer - 1920x1080 234K.mp4	8.1 MB
30. Embeddings In A Continuous Vector Space - Zer - 1920x1080 240K.mp4	13.5 MB
31. Introduction To Positional Encodings - Zer - 1920x1080 229K.mp4	8.8 MB
32. Positional Encodings - Part 1 - Zer - 1920x1080 384K.mp4	10.6 MB
33. Positional Encodings - Part 2 (Even and Odd Indices) - Zer - 1920x1080 297K.mp4	21.9 MB
34. Why Use Sine and Cosine Functions - Zer - 1920x1080 337K.mp4	12.8 MB
35. Understanding the Nature of Sine and Cosine Functions - Zer - 1920x1080 419K.mp4	28.2 MB
36. Visualizing Positional Encodings in Sine and Cosine Graphs - Zer - 1920x1080 404K.mp4	26.5 MB
37. Solving the Equations to Get the Values for Positional Encodings - Zer - 1920x1080 324K.mp4	41.1 MB
38. Introduction to Attention Mechanism - Zer - 1920x1080 245K.mp4	5.4 MB
39. Query, Key and Value Matrix - Zer - 1920x1080 236K.mp4	31.0 MB
40. Getting Started with Our Step by Step Attention Calculation - Zer - 1920x1080 249K.mp4	13.7 MB
41. Calculating Key Vectors - Zer - 1920x1080 349K.mp4	54.9 MB
42. Query Matrix Introduction - Zer - 1920x1080 293K.mp4	24.8 MB
43. Calculating Raw Attention Scores - Zer - 1920x1080 295K.mp4	50.3 MB
44. Understanding the Mathematics Behind Dot Products and Vector Alignment - Zer - 1920x1080 328K.mp4	33.1 MB
45. Visualizing Raw Attention Scores in 2D - Zer - 1920x1080 310K.mp4	13.6 MB
46. Converting Raw Attention Scores to Probability Distributions with Softmax - Zer - 1920x1080 379K.mp4	25.1 MB
47. Normalization - Zer - 1920x1080 304K.mp4	7.9 MB
48. Understanding the Value Matrix and Value Vector - Zer - 1920x1080 296K.mp4	22.3 MB
49. Calculating the Final Context Aware Rich Representation for the Word _River_ - Zer - 1920x1080 430K.mp4	35.4 MB
50. Understanding the Output - Zer - 1920x1080 497K.mp4	5.6 MB
51. Understanding Multi Head Attention - Zer - 1920x1080 345K.mp4	31.5 MB
52. Multi Head Attention Example and Subsequent Layers - Zer - 1920x1080 446K.mp4	34.7 MB
53. Masked Language Learning - Zer - 1920x1080 164K.mp4	3.4 MB
54. Exercise Imposter Syndrome - Zer - 1920x1080 894K.mp4	11.0 MB
55. Creating Our Custom Model Architecture with PyTorch - Zer - 1920x1080 293K.mp4	39.0 MB
56. Adding the Dropout, Linear Layer, and ReLU to Our Model - Zer - 1920x1080 317K.mp4	35.0 MB
57. Creating Our Accuracy Function - Zer - 1920x1080 296K.mp4	29.3 MB
58. Creating Our Train Function - Zer - 1920x1080 355K.mp4	49.9 MB
59. Finishing Our Train Function - Zer - 1920x1080 367K.mp4	21.5 MB
60. Setting Up the Validation Function - Zer - 1920x1080 354K.mp4	36.6 MB
61. Passing Parameters In SageMaker - Zer - 1920x1080 416K.mp4	11.9 MB
62. Setting Up Model Parameters For Training - Zer - 1920x1080 296K.mp4	10.4 MB
63. Understanding The Mathematics Behind Cross Entropy Loss - Zer - 1920x1080 359K.mp4	14.3 MB
64. Finishing Our Script.py File - Zer - 1920x1080 412K.mp4	21.8 MB
65. Quota Increase - Zer - 1920x1080 549K.mp4	26.0 MB
66. Starting Our Training Job - Zer - 1920x1080 863K.mp4	46.6 MB
67. Debugging Our Training Job With AWS CloudWatch - Zer - 1920x1080 606K.mp4	60.9 MB
68. Analyzing Our Training Job Results - Zer - 1920x1080 707K.mp4	31.2 MB
69. Creating Our Inference Script For Our PyTorch Model - Zer - 1920x1080 324K.mp4	20.5 MB
70. Finishing Our PyTorch Inference Script - Zer - 1920x1080 365K.mp4	24.5 MB
71. Setting Up Our Deployment - Zer - 1920x1080 476K.mp4	27.3 MB
72. Deploying Our Model To A SageMaker Endpoint - Zer - 1920x1080 631K.mp4	38.0 MB
73. Introduction to Endpoint Load Testing - Zero To Mastery Academy - 1920x1080 213K.mp4	8.2 MB
74. Creating Our Test Data for Load Testing - Zero To Mastery Academy - 1920x1080 230K.mp4	19.4 MB
75. Upload Testing Data to S3 - Zero To Mastery Academy - 1920x1080 715K.mp4	4.7 MB
76. Creating Our Model for Load Testing - Zero To Mastery Academy - 1920x1080 782K.mp4	19.7 MB
77. Starting Our Load Test Job - Zero To Mastery Academy - 1920x1080 621K.mp4	28.9 MB
78. Analyze Load Test Results - Zero To Mastery Academy - 1920x1080 425K.mp4	29.5 MB
79. Deploying Our Endpoint - Zero To Mastery Academy - 1920x1080 538K.mp4	15.1 MB
80. Creating Lambda Function to Call Our Endpoint - Zero To Mastery Academy - 1920x1080 412K.mp4	29.6 MB
81. Setting Up Our AWS API Gateway - Zero To Mastery Academy - 1920x1080 449K.mp4	16.6 MB
82. Testing Our Model with Postman, API Gateway and Lambda - Zero To Mastery Academy - 1920x1080 518K.mp4	21.0 MB
83. Cleaning Up Resources - Zero To Mastery Academy - 1920x1080 421K.mp4	8.7 MB
84. Thank You! - Zero To Mastery Academy - 1920x1080 1046K.mp4	4.5 MB
AI Engineering Bootcamp Build, Train & Deploy Models with AWS SageMaker.txt	3.4 KB
Bonus Resources.txt	0.4 KB
Total files 87