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
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Whizlabs AWS Certified Machine Learning Specialty
Practice Exams with 271 questions, Video Lectures and Hands-on Labs from Whizlabs
Whizlab’s AWS Certified Machine Learning Specialty Practice tests are designed by experts to simulate the real exam scenario. The questions are based on the exam syllabus outlined by official documentation. These practice tests are provided to the candidates to gain more confidence in exam preparation and self-evaluate them against the exam content.
Practice test content
- Free Practice test – 15 questions
- Practice test 1 – 65 questions
- Practice test 2 – 65 questions
- Practice test 3 – 65 questions
Section test content
- Core ML Concepts – 10 questions
- Data Engineering – 11 questions
- Exploratory Data Analysis – 13 questions
- Modeling – 15 questions
- Machine Learning Implementation and Operations – 12 questions
Questions and answers
Whizlab’s AWS Certified Machine Learning Specialty course
- In Whizlabs AWS Machine Learning certification course, you will learn and master how to build, train, tune, and deploy Machine Learning (ML) models on the AWS platform.
- Whizlab’s Certified AWS Machine Learning Specialty practice tests offer you a total of 200+ unique questions to get a complete idea about the real AWS Machine Learning exam.
- Also, you get access to hands-on labs in this course. There are about 10 lab sessions that are designed to take your practical skills on AWS Machine Learning to the next level.
Course content
The course has 3 resources which can be purchased seperately, or together:
- 9 Practice tests with 271 questions
- Video course with 65 videos
- 9 hands on labs
