Amazon AI Services
Overview of Amazon AI Services
AI services are AWS’s premiere value-add services. They are easy to use and incorporate to enhance existing systems or as completely new systems. Because they are services AWS does all the heavy lifting leaving the user to interact with the services without having to set up infrastructure or other supporting services. However this comes at the expence of flexibility. Where this is requires the SageMaker built in alogorithms may be a more appropriate choice.
AI services are discussed in the AWS White paper AWS Well-architected Machine Learning Lens on pages 17 to 21:
- AWS White Paper: https://d1.awsstatic.com/whitepapers/architecture/wellarchitected-Machine-Learning-Lens.pdf
Scroll to the bottom to use the quiz app to check your understanding of Amazon AI Services.
The four groups of Amazon AI Services
There are nine services that can be placed into four groups depending on the medium they process:
- Vision: Rekognition, Textract
- Language: Translate, Comprehend
- Speech: Poly, Transcribe, Lex
- Data: Personalize, Forecast
Video: Build Intelligent Apps Using AI Services
This video from AWS is 41.30 minutes long. The first 29.39 minutes are directly relevant to the exam content for sub-domain 4.2, so I recommend you watch the entire video. Here are the timestamps for the contents:
- 0 Introduction to the three layer model
- 3.57 Rekognition for images and video, human trafficking
- 7.04 Textract, Natural Language Processing reference architecture
- 9.04 Transcribe, Transcribe integration
- 11.38 Translate, high volume and time sensitive content
- 13.55 Lex, Book a hotel speech recognition
- 16.31 Polly, text to speech, Connect, contact center in the cloud
- 21.46 Comprehend, sentiment analysis, comprehend medical
- 24.43 Personalize
- 28.05 Forecast
- 29.41 Demo by HSBC – Building a Virtual Assistant by Gareth Butler
- 40.55 Summary
- 41.30 End
Amazon AI Services
Other AI services
These AI services are mentioned in the AWS Machine Learning Study Guide. However I am unsure if they feature in the exam.
- Amazon Kendra is a search service that helps you search across different content repositories.
- Amazon CodeGuru is a developer tool that provides intelligent recommendations to improve code quality and identify an application’s most expensive lines of code.
Credits
- Photo by Zoe Schaeffer on Unsplash
AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Exam
This study guide provides the domain-by-domain specific knowledge you need to build, train, tune, and deploy machine learning models with the AWS Cloud. The online resources that accompany this Study Guide include practice exams and assessments, electronic flashcards, and supplementary online resources. It is available in both paper and kindle version for immediate access. (Vist Amazon books)
Questions and answers
Amazon Study Guide review – AWS Certified Machine Learning Specialty
This Amazon Study Guide review is a review of the official Amazon study guide to accompany the exam. The study guide provides the domain-by-domain specific knowledge you need to build, train, tune, and deploy machine learning models with the AWS Cloud. The online resources that accompany this Study Guide include practice exams and assessments, electronic…
CV Library
If you want to land your dream AWS job you have to do more than just dream about it you need a CV. Agents may call, email or text and job ads pop up on every site you visit but the first thing they will ask for is a copy of your CV. A CV…
Pluralsight review – AWS Certified Machine Learning Specialty
Contains affiliate links. If you go to Pluralsight’s website and make a purchase I may receive a small payment. The purchase price to you will be unchanged. Thank you for your support. The AWS Certified Machine Learning Specialty learning path from Pluralsight has six high quality video courses taught by expert instructors. Two are introductory…
