Tutorials > AI Engineering Bootcamp Build, Train & Deploy Models with AWS SageMaker
AI Engineering Bootcamp Build, Train & Deploy Models with AWS SageMakerDate: 13 July 2025 | Posted by: AD-TEAM |
![]() 1.9 GB | 18min 34s | mp4 | 1920X1080 | 16:9 Genre:eLearning |Language:English Files Included : 01 AI Engineering Bootcamp Learn AWS SageMaker with Patrik Szepesi - Zer - 1920x1080 2055K.mp4 (17.13 MB) 02 Course Introduction - Zer - 1920x1080 278K.mp4 (17.41 MB) 03 Setting Up Our AWS Account - Zer - 1920x1080 441K.mp4 (13.03 MB) 04 Set Up IAM Roles + Best Practices - Zer - 1920x1080 484K.mp4 (23.32 MB) 05 AWS Security Best Practices - Zer - 1920x1080 468K.mp4 (21.99 MB) 06 Set Up AWS SageMaker Domain - Zer - 1920x1080 453K.mp4 (6.52 MB) 07 UI Domain Change - Zer - 1920x1080 606K.mp4 (2.46 MB) 08 Setting Up SageMaker Environment - Zer - 1920x1080 416K.mp4 (13.22 MB) 09 SageMaker Studio and Pricing - Zer - 1920x1080 429K.mp4 (28.39 MB) 10 Setup SageMaker Server + PyTorch - Zer - 1920x1080 342K.mp4 (15.82 MB) 11 HuggingFace Models, Sentiment Analysis, and AutoScaling - Zer - 1920x1080 703K.mp4 (91.79 MB) 12 Get Dataset for Multiclass Text Classification - Zer - 1920x1080 337K.mp4 (14.89 MB) 13 Creating Our AWS S3 Bucket - Zer - 1920x1080 445K.mp4 (12.07 MB) 14 Uploading Our Training Data to S3 - Zer - 1920x1080 497K.mp4 (4.61 MB) 15 Exploratory Data Analysis - Part 1 - Zer - 1920x1080 422K.mp4 (40.04 MB) 16 Exploratory Data Analysis - Part 2 - Zer - 1920x1080 323K.mp4 (13.77 MB) 17 Data Visualization and Best Practices - Zer - 1920x1080 296K.mp4 (25.99 MB) 18 Setting Up Our Training Job Notebook + Reasons to Use SageMaker - Zer - 1920x1080 457K.mp4 (55.7 MB) 19 Python Script for HuggingFace Estimator - Zer - 1920x1080 254K.mp4 (28.22 MB) 20 Creating Our Optional Experiment Notebook - Part 1 - Zer - 1920x1080 441K.mp4 (9.67 MB) 21 Creating Our Optional Experiment Notebook - Part 2 - Zer - 1920x1080 747K.mp4 (18.57 MB) 22 Encoding Categorical Labels to Numeric Values - Zer - 1920x1080 453K.mp4 (39.89 MB) 23 Understanding the Tokenization Vocabulary - Zer - 1920x1080 286K.mp4 (30.06 MB) 24 Encoding Tokens - Zer - 1920x1080 318K.mp4 (25.2 MB) 25 Practical Example of Tokenization and Encoding - Zer - 1920x1080 395K.mp4 (32.68 MB) 26 Creating Our Dataset Loader Class - Zer - 1920x1080 390K.mp4 (44.58 MB) 27 Setting Pytorch DataLoader - Zer - 1920x1080 337K.mp4 (36.75 MB) 28 Which Path Will You Take - Zer - 1920x1080 227K.mp4 (2.42 MB) 29 DistilBert vs Bert Differences - Zer - 1920x1080 234K.mp4 (7.69 MB) 30 Embeddings In A Continuous Vector Space - Zer - 1920x1080 240K.mp4 (12.86 MB) 31 Introduction To Positional Encodings - Zer - 1920x1080 229K.mp4 (8.34 MB) 32 Positional Encodings - Part 1 - Zer - 1920x1080 384K.mp4 (10.12 MB) 33 Positional Encodings - Part 2 (Even and Odd Indices) - Zer - 1920x1080 297K.mp4 (20.91 MB) 34 Why Use Sine and Cosine Functions - Zer - 1920x1080 337K.mp4 (12.22 MB) 35 Understanding the Nature of Sine and Cosine Functions - Zer - 1920x1080 419K.mp4 (26.88 MB) 36 Visualizing Positional Encodings in Sine and Cosine Graphs - Zer - 1920x1080 404K.mp4 (25.24 MB) 37 Solving the Equations to Get the Values for Positional Encodings - Zer - 1920x1080 324K.mp4 (39.19 MB) 38 Introduction to Attention Mechanism - Zer - 1920x1080 245K.mp4 (5.15 MB) 39 Query, Key and Value Matrix - Zer - 1920x1080 236K.mp4 (29.56 MB) 40 Getting Started with Our Step by Step Attention Calculation - Zer - 1920x1080 249K.mp4 (13.03 MB) 41 Calculating Key Vectors - Zer - 1920x1080 349K.mp4 (52.35 MB) 42 Query Matrix Introduction - Zer - 1920x1080 293K.mp4 (23.68 MB) 43 Calculating Raw Attention Scores - Zer - 1920x1080 295K.mp4 (48.01 MB) 44 Understanding the Mathematics Behind Dot Products and Vector Alignment - Zer - 1920x1080 328K.mp4 (31.54 MB) 45 Visualizing Raw Attention Scores in 2D - Zer - 1920x1080 310K.mp4 (12.97 MB) 46 Converting Raw Attention Scores to Probability Distributions with Softmax - Zer - 1920x1080 379K.mp4 (23.98 MB) 47 Normalization - Zer - 1920x1080 304K.mp4 (7.58 MB) 48 Understanding the Value Matrix and Value Vector - Zer - 1920x1080 296K.mp4 (21.25 MB) 49 Calculating the Final Context Aware Rich Representation for the Word River - Zer - 1920x1080 430K.mp4 (33.73 MB) 50 Understanding the Output - Zer - 1920x1080 497K.mp4 (5.35 MB) 51 Understanding Multi Head Attention - Zer - 1920x1080 345K.mp4 (30.02 MB) 52 Multi Head Attention Example and Subsequent Layers - Zer - 1920x1080 446K.mp4 (33.06 MB) 53 Masked Language Learning - Zer - 1920x1080 164K.mp4 (3.22 MB) 54 Exercise Imposter Syndrome - Zer - 1920x1080 894K.mp4 (10.49 MB) 55 Creating Our Custom Model Architecture with PyTorch - Zer - 1920x1080 293K.mp4 (37.18 MB) 56 Adding the Dropout, Linear Layer, and ReLU to Our Model - Zer - 1920x1080 317K.mp4 (33.41 MB) 57 Creating Our Accuracy Function - Zer - 1920x1080 296K.mp4 (27.98 MB) 58 Creating Our Train Function - Zer - 1920x1080 355K.mp4 (47.6 MB) 59 Finishing Our Train Function - Zer - 1920x1080 367K.mp4 (20.46 MB) 60 Setting Up the Validation Function - Zer - 1920x1080 354K.mp4 (34.91 MB) 61 Passing Parameters In SageMaker - Zer - 1920x1080 416K.mp4 (11.38 MB) 62 Setting Up Model Parameters For Training - Zer - 1920x1080 296K.mp4 (9.94 MB) 63 Understanding The Mathematics Behind Cross Entropy Loss - Zer - 1920x1080 359K.mp4 (13.68 MB) 64 Finishing Our Script py File - Zer - 1920x1080 412K.mp4 (20.76 MB) 65 Quota Increase - Zer - 1920x1080 549K.mp4 (24.8 MB) 66 Starting Our Training Job - Zer - 1920x1080 863K.mp4 (44.47 MB) 67 Debugging Our Training Job With AWS CloudWatch - Zer - 1920x1080 606K.mp4 (58.12 MB) 68 Analyzing Our Training Job Results - Zer - 1920x1080 707K.mp4 (29.74 MB) 69 Creating Our Inference Script For Our PyTorch Model - Zer - 1920x1080 324K.mp4 (19.53 MB) 70 Finishing Our PyTorch Inference Script - Zer - 1920x1080 365K.mp4 (23.4 MB) 71 Setting Up Our Deployment - Zer - 1920x1080 476K.mp4 (26 MB) 72 Deploying Our Model To A SageMaker Endpoint - Zer - 1920x1080 631K.mp4 (36.25 MB) 73 Introduction to Endpoint Load Testing - Zero To Mastery Academy - 1920x1080 213K.mp4 (7.86 MB) 74 Creating Our Test Data for Load Testing - Zero To Mastery Academy - 1920x1080 230K.mp4 (18.54 MB) 75 Upload Testing Data to S3 - Zero To Mastery Academy - 1920x1080 715K.mp4 (4.5 MB) 76 Creating Our Model for Load Testing - Zero To Mastery Academy - 1920x1080 782K.mp4 (18.79 MB) 77 Starting Our Load Test Job - Zero To Mastery Academy - 1920x1080 621K.mp4 (27.52 MB) 78 Analyze Load Test Results - Zero To Mastery Academy - 1920x1080 425K.mp4 (28.17 MB) 79 Deploying Our Endpoint - Zero To Mastery Academy - 1920x1080 538K.mp4 (14.36 MB) 80 Creating Lambda Function to Call Our Endpoint - Zero To Mastery Academy - 1920x1080 412K.mp4 (28.19 MB) 81 Setting Up Our AWS API Gateway - Zero To Mastery Academy - 1920x1080 449K.mp4 (15.86 MB) 82 Testing Our Model with Postman, API Gateway and Lambda - Zero To Mastery Academy - 1920x1080 518K.mp4 (19.98 MB) 83 Cleaning Up Resources - Zero To Mastery Academy - 1920x1080 421K.mp4 (8.29 MB) 84 Thank You! - Zero To Mastery Academy - 1920x1080 1046K.mp4 (4.25 MB)] Screenshot ![]() RapidGator https://rapidgator.net/file/17bd108404ca78a0974bef4cbb52c2b4/ https://rapidgator.net/file/5348e3cc72e59202449eea3c15650084/ NitroFlare See full article |