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AWS Certified Machine Learning - Specialty | Online Course | Whizlabs

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Courses

What's Inside

  • 9+ hours (71 Lectures) Training Videos (All Topics Covered)
  • Very exhaustive coverage to all the topics
  • Unlimited Access

Topic-wise Content Distribution

Chapter Minutes of training video
Introduction  
Welcome to the AWS Machine Learning Specialty Certification Exam course 00:03:03 mins
Outline of the course 00:02:47 mins
The exam 00:06:12 mins
Goals of the course 00:03:15 mins
Machine learning terminology - Data Engineering 00:11:14 mins
Machine learning terminology - Data Engineering quiz 00:00:50 mins
Data Engineering  
Introduction 00:10:28 mins
Setting up SageMaker Jupyter Notebooks 00:04:33 mins
Gathering data 00:04:29 mins
Handling Missing Data - Overview and Drop Technique 00:08:37 mins
Handling Missing Data - Other Imputation Techniques 00:11:04 mins
Feature extraction and feature selection with Principal Component Analysis and Variance Thresholds 00:08:12 mins
Feature Extraction and Selection - Lab Part 1 00:10:39 mins
Feature Extraction and Selection - Lab Part 2 00:06:12 mins
Encoding categorical values 00:12:00 mins
Numerical engineering 00:13:58 mins
Text feature editing 00:07:08 mins
AWS Migration services and tools 00:07:27 mins
Exam tips 00:03:50 mins
Data engineering quiz 00:00:36 mins
Exploratory Data Analysis  
Introduction 00:08:10 mins
Kinesis Data Streams 00:07:56 mins
Kinesis Data Streams - lab 00:06:07 mins
Kinesis Data Firehose 00:06:47 mins
Kinesis Data Firehose - lab 00:10:19 mins
Kinesis Video Streams 00:08:14 mins
Kinesis Data Analytics 00:05:55 mins
Kinesis Data Analytics - lab 00:09:18 mins
AWS Glue 00:07:57 mins
AWS Glue create crawler - lab 00:09:26 mins
AWS Glue create transform job - lab 00:08:18 mins
Analyze and visualize data for machine learning 00:09:35 mins
Analyze and visualize data for machine learning - lab 00:11:27 mins
Exam tips 00:11:33 mins
Exploratory data analysis quiz 00:00:33 mins
Modeling  
Introduction 00:09:05 mins
Modeling concepts 00:11:47 mins
Train machine learning models 00:09:16 mins
Train machine learning models - lab 00:11:49 mins
Deploy and evaluate performance of machine learning models - lab 00:07:44 mins
Perform automatic model tuning 00:09:07 mins
Perform automatic model tuning - lab 00:12:29 mins
Train model after automatic model tuning - lab 00:05:43 mins
Exam tips 00:12:02 mins
Modeling quiz 00:00:37 mins
Algorithms  
Introduction 00:04:39 mins
Algorithm concepts 00:09:17 mins
Regression algorithms 00:10:20 mins
Regression algorithms - lab part 1 00:12:16 mins
Regression algorithms - lab part 2 00:06:37 mins
Clustering algorithms 00:04:12 mins
Clustering algorithms - lab 00:11:20 mins
Classification algorithms 00:10:35 mins
Classification algorithms - continued 00:05:55 mins
Classification algorithms - lab 00:12:04 mins
Image analysis algorithms 00:07:01 mins
Text analysis algorithms 00:12:38 mins
Text analysis algorithms - lab 00:07:32 mins
Reinforcement learning algorithms 00:07:47 mins
Forecasting algorithms 00:06:11 mins
Exam tips 00:06:48 mins
Modeling quiz 00:00:38 mins
Machine Learning Implementation and Operations>  
Introduction 00:07:42 mins
Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance 00:09:56 mins
Recommend and implement the appropriate machine learning services and features for a given problem 00:12:41 mins
Apply basic AWS security practices to machine learning solutions 00:06:27 mins
Deploy and operationalize machine learning solutions with lab 00:11:32 mins
Exam tips 00:05:25 mins
Machine Learning Implementation and Operations quiz 00:00:38 mins
Conclusion  
Summary of the course 00:04:04 mins
Exam day tips 00:02:55 mins
Other AWS Certified Machine Learning - Specialty Training Options

Free Test

Format

Practice Exam

No. of Questions

15 Questions

Delivery

Online, Immediate

No. of Tests

1 Test

Free

Practice Tests

Format

Practice Exam

No. of Questions

145 Questions

Delivery

Online, Immediate

No. of Tests

2 Tests

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