Here are some resources I collected for better preparing the AWS Machine Learning Specialty Exam.

Practical experience

aws/amazon-sagemaker-examples

Object Detection with Amazon Sagemaker

AWS Training offers digital courses on machine learning (ML).

• Data Analytics Fundamentals

• Exam Readiness: AWS Certified Machine Learning - Specialty

• Deep Learning on AWS

• Elements of Data Science

• Math for Machine Learning

• Linear and Logistic Regression

• Machine Learning Use Case

AWS whitepapers

The following are whitepapers that have been written about ML and deep learning that you will want to read as part of your exam study:

• Deep Learning on AWS
• Power machine learning at scale

AWS documentation

Review the following AWS service documentation as part of your study:

• Amazon SageMaker
• Deep Learning AMI
• Amazon Polly
• Amazon Lex
• Amazon Transcribe
• Amazon Translate
• Amazon Rekognition
• Amazon S3

Service FAQs

Here are links to service FAQs that have some helpful information when looking to better understand ML-related AWS services:

• AWS SageMaker FAQ
• AWS Comprehend FAQ
• AWS Lex FAQ
• AWS Polly FAQ
• AWS Rekognition FAQ
• AWS Translate FAQ
• AWS Transcribe FAQ
• AWS DeepLens FAQ

AWS blogs

There is an AWS machine learning blog that you should read as part of your exam study.

Official Exam Guide, sample exam questions

• Download the exam guide
• Download the sample questions
• Udemy - AWS Certified Machine Learning Specialty: 3 PRACTICE EXAMS
• Exam Readiness - Sample Questions

Other Videos

• Amazon SageMaker Deep Dive Series

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