AWS
Machine Learning
Cập nhật 23/06/2026
- #aws
- #ml
Machine Learning
Maarek SAA-C03 Slides v45 — Chapter 21. Personal study extract.
Key content
- Machine Learning
- Amazon Rekognition
- Amazon Rekognition – Content Moderation
- or offensive (image and videos)
- advertising, and e-commerce situations to create
- a safer user experience
- items that will be flagged
- Amazon Augmented AI (A2I)
- Image
- Amazon
- Rekognition
- Confidence Level
- and Threshold
- Optional Manual
- review in A2I
- Amazon Transcribe
- convert speech to text quickly and accurately
- "Hello my name is Stéphane.
- I hope you're enjoying the course!
- Amazon Polly
- Hi! My name is Stéphane
- and this is a demo of Amazon Polly
- Amazon Polly – Lexicon & SSML
- Synthesis Markup Language (SSML) – enables more customization
- Amazon Translate
- applications - for international users, and to easily translate large
- volumes of text efficiently.
- Amazon Lex & Connect
- Phone Call
- Schedule an
- Appointment
- Connect Lex
- Intent recognized
- Lambda CRM
- call stream invoke schedule
- Amazon Comprehend
- Amazon Comprehend Medical
- unstructured clinical text:
- Data Firehose, or use Amazon Transcribe to transcribe patient narratives
- into text that can be analyzed by Amazon Comprehend Medical.
- Amazon SageMaker AI
- Historical Data:
-
years of experience in IT
-
years of experience with AWS
- Time spent on the course
- …
- label 670
- 890
- 934
- build
- ML model
- Train and Tune
- New data
- Apply model
- Prediction
- PASS WITH 906
- score
- Amazon Kendra
- Data Sources
- Amazon S3 Amazon RDS Google Drive MS SharePoint
- MS OneDrive
- 3rd party,
- APNs,
- Custom
- Knowledge Index
- (powered by ML)
- Amazon Kendra
- indexing
- User
- Where is the IT support desk?
- 1st floor
- Amazon Personalize
- Amazon S3
- Amazon Personalize API
- read data from S3
- real-time data integration
- Amazon Personalize
- Customized personalized API
- Websites & Apps
- Mobile Apps
- SMS
- Emails
- Amazon Textract
- documents using AI and ML
- Amazon Textract
- {
- "Document ID": "123456789-005",
- "Name": "",
- "SEX": "F",
- "DOB": "23.05.1997",
- …
- }
- analyze result
- AWS Machine Learning - Summary
Study checklist
- Read chapter once in English (no full translation)
- Add 7–10 terms →
/admin/aws-english/vocab - Practice 5 questions →
/admin/aws-english/reader(tags: aws, ml) - SRS review →
/flashcards/aws-english