| 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 |
we're giving free access to labs to test your knowledge on AWS environment. There are total of 3 labs for the AWS Certified Machine Learning - Specialty Exam
| Sr No | Lab Name | Topic | Duration (in Minutes) |
|---|---|---|---|
| 1 | Build a sample chatbot using Amazon Lex | Amazon Lex | 45 |
| 2 | Chatbot using Amazon Lex and store bot response in DynamoDB | Amazon Lex | 45 |
| 3 | Amazon Lex chatbot using 3rd party API | Amazon Lex | 60 |
Format
Practice Exam
No. of Questions
15 Questions
Delivery
Online, Immediate
No. of Tests
1 Test
Format
Practice Exam
No. of Questions
145 Questions
No of Hands-on Labs
3
No. of Tests
2 Tests
