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AWS Certified Machine Learning - Specialty: AWS Certified Machine Learning - Specialty (MLS-C01)
PDFs and exam guides are not so efficient, right? Prepare for your Amazon examination with our training course. The AWS Certified Machine Learning - Specialty course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Amazon certification exam. Pass the Amazon AWS Certified Machine Learning - Specialty test with flying colors.
Rating
4.6
Students
134
Duration
09:08:00 h
$16.49
$14.99
Curriculum for AWS Certified Machine Learning - Specialty Certification Video Course
Introduction
1 Lectures
Time 00:06:00
Data Engineering
22 Lectures
Time 01:24:00
Exploratory Data Analysis
21 Lectures
Time 02:27:00
Modeling
45 Lectures
Time 03:46:00
ML Implementation and Operations
11 Lectures
Time 01:04:00
Wrapping Up
6 Lectures
Time 00:21:00
| Name of Video | Time |
|---|---|
 1. Course Introduction: What to Expect |
6:00 |
| Name of Video | Time |
|---|---|
1. Section Intro: Data Engineering |
1:00 |
2. Amazon S3 - Overview |
5:00 |
3. Amazon S3 - Storage Tiers & Lifecycle Rules |
4:00 |
4. Amazon S3 Security |
8:00 |
5. Kinesis Data Streams & Kinesis Data Firehose |
9:00 |
6. Lab 1.1 - Kinesis Data Firehose |
6:00 |
7. Kinesis Data Analytics |
4:00 |
8. Lab 1.2 - Kinesis Data Analytics |
7:00 |
9. Kinesis Video Streams |
3:00 |
10. Kinesis ML Summary |
1:00 |
11. Glue Data Catalog & Crawlers |
3:00 |
12. Lab 1.3 - Glue Data Catalog |
4:00 |
13. Glue ETL |
2:00 |
14. Lab 1.4 - Glue ETL |
6:00 |
15. Lab 1.5 - Athena |
1:00 |
16. Lab 1 - Cleanup |
2:00 |
17. AWS Data Stores in Machine Learning |
3:00 |
18. AWS Data Pipelines |
3:00 |
19. AWS Batch |
2:00 |
20. AWS DMS - Database Migration Services |
2:00 |
21. AWS Step Functions |
3:00 |
22. Full Data Engineering Pipelines |
5:00 |
| Name of Video | Time |
|---|---|
1. Section Intro: Data Analysis |
1:00 |
2. Python in Data Science and Machine Learning |
12:00 |
3. Example: Preparing Data for Machine Learning in a Jupyter Notebook. |
10:00 |
4. Types of Data |
5:00 |
5. Data Distributions |
6:00 |
6. Time Series: Trends and Seasonality |
4:00 |
7. Introduction to Amazon Athena |
5:00 |
8. Overview of Amazon Quicksight |
6:00 |
9. Types of Visualizations, and When to Use Them. |
5:00 |
10. Elastic MapReduce (EMR) and Hadoop Overview |
7:00 |
11. Apache Spark on EMR |
10:00 |
12. EMR Notebooks, Security, and Instance Types |
4:00 |
13. Feature Engineering and the Curse of Dimensionality |
7:00 |
14. Imputing Missing Data |
8:00 |
15. Dealing with Unbalanced Data |
6:00 |
16. Handling Outliers |
9:00 |
17. Binning, Transforming, Encoding, Scaling, and Shuffling |
8:00 |
18. Amazon SageMaker Ground Truth and Label Generation |
4:00 |
19. Lab: Preparing Data for TF-IDF with Spark and EMR, Part 1 |
6:00 |
20. Lab: Preparing Data for TF-IDF with Spark and EMR, Part 2 |
10:00 |
21. Lab: Preparing Data for TF-IDF with Spark and EMR, Part 3 |
14:00 |
| Name of Video | Time |
|---|---|
1. Section Intro: Modeling |
2:00 |
2. Introduction to Deep Learning |
9:00 |
3. Convolutional Neural Networks |
12:00 |
4. Recurrent Neural Networks |
11:00 |
5. Deep Learning on EC2 and EMR |
2:00 |
6. Tuning Neural Networks |
5:00 |
7. Regularization Techniques for Neural Networks (Dropout, Early Stopping) |
7:00 |
8. Grief with Gradients: The Vanishing Gradient problem |
4:00 |
9. L1 and L2 Regularization |
3:00 |
10. The Confusion Matrix |
6:00 |
11. Precision, Recall, F1, AUC, and more |
7:00 |
12. Ensemble Methods: Bagging and Boosting |
4:00 |
13. Introducing Amazon SageMaker |
8:00 |
14. Linear Learner in SageMaker |
5:00 |
15. XGBoost in SageMaker |
3:00 |
16. Seq2Seq in SageMaker |
5:00 |
17. DeepAR in SageMaker |
4:00 |
18. BlazingText in SageMaker |
5:00 |
19. Object2Vec in SageMaker |
5:00 |
20. Object Detection in SageMaker |
4:00 |
21. Image Classification in SageMaker |
4:00 |
22. Semantic Segmentation in SageMaker |
4:00 |
23. Random Cut Forest in SageMaker |
3:00 |
24. Neural Topic Model in SageMaker |
3:00 |
25. Latent Dirichlet Allocation (LDA) in SageMaker |
3:00 |
26. K-Nearest-Neighbors (KNN) in SageMaker |
3:00 |
27. K-Means Clustering in SageMaker |
5:00 |
28. Principal Component Analysis (PCA) in SageMaker |
3:00 |
29. Factorization Machines in SageMaker |
4:00 |
30. IP Insights in SageMaker |
3:00 |
31. Reinforcement Learning in SageMaker |
12:00 |
32. Automatic Model Tuning |
6:00 |
33. Apache Spark with SageMaker |
3:00 |
34. Amazon Comprehend |
6:00 |
35. Amazon Translate |
2:00 |
36. Amazon Transcribe |
4:00 |
37. Amazon Polly |
6:00 |
38. Amazon Rekognition |
7:00 |
39. Amazon Forecast |
2:00 |
40. Amazon Lex |
3:00 |
41. The Best of the Rest: Other High-Level AWS Machine Learning Services |
3:00 |
42. Putting them All Together |
2:00 |
43. Lab: Tuning a Convolutional Neural Network on EC2, Part 1 |
9:00 |
44. Lab: Tuning a Convolutional Neural Network on EC2, Part 2 |
9:00 |
45. Lab: Tuning a Convolutional Neural Network on EC2, Part 3 |
6:00 |
| Name of Video | Time |
|---|---|
1. Section Intro: Machine Learning Implementation and Operations |
1:00 |
2. SageMaker's Inner Details and Production Variants |
11:00 |
3. SageMaker On the Edge: SageMaker Neo and IoT Greengrass |
4:00 |
4. SageMaker Security: Encryption at Rest and In Transit |
5:00 |
5. SageMaker Security: VPC's, IAM, Logging, and Monitoring |
4:00 |
6. SageMaker Resource Management: Instance Types and Spot Training |
4:00 |
7. SageMaker Resource Management: Elastic Inference, Automatic Scaling, AZ's |
5:00 |
8. SageMaker Inference Pipelines |
2:00 |
9. Lab: Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 1 |
5:00 |
10. Lab: Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 2 |
11:00 |
11. Lab: Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 3 |
12:00 |
| Name of Video | Time |
|---|---|
1. Section Intro: Wrapping Up |
1:00 |
2. More Preparation Resources |
6:00 |
3. Test-Taking Strategies, and What to Expect |
10:00 |
4. You Made It! |
1:00 |
5. Save 50% on your AWS Exam Cost! |
2:00 |
6. Get an Extra 30 Minutes on your AWS Exam - Non Native English Speakers only |
1:00 |
Amazon AWS Certified Machine Learning - Specialty Exam Dumps, Practice Test Questions
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AWS Certified Machine Learning - Specialty Premium Bundle
- Premium File: 369 Questions & Answers. Last update: Apr 23, 2025
- Training Course: 106 Video Lectures
- Study Guide: 275 Pages
- Latest Questions
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- Fast Exam Updates
$69.97
$49.99
Amazon AWS Certified Machine Learning - Specialty Training Course
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AWS Certified Machine Learning - Specialty
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AWS Certified Machine Learning - Specialty
Training Course
106 Lectures
$16.49
$14.99
AWS Certified Machine Learning - Specialty
Study Guide
275 Pages
$16.49
$14.99
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