Machine Learning
Amazon Rekognition
- Find objects, people, text, scenes in images and videos using ML
- Facial analysis and facial search to do user verification, people counting
- Create a database of “familiar faces” or compare against celebrities
- Use cases:
- Labeling
- Content Moderation
- Text Detection
- Face Detection and Analysis (gender, age range, emotions…)
- Face Search and Verification
- Celebrity Recognition
- https://aws.amazon.com/rekognition/
Amazon Transcribe
- Automatically convert speech to text
- Uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately
- Use cases:
- transcribe customer service calls
- automate closed captioning and subtitling
- generate metadata for media assets to create a fully searchable archive
Amazon Polly
- Turn text into lifelike speech using deep learning
- Allowing you to create applications that talk
Amazon Translate
- Natural and accurate language translation
- Amazon Translate allows you to localize content - such as websites and applications - for international users, and to easily translate large volumes of text efficiently.
Amazon Lex & Connect
Amazon Lex: (same technology that powers Alexa)
- Automatic Speech Recognition (ASR) to convert speech to text
- Natural Language Understanding to recognize the intent of text, callers
- Helps build chatbot, call center bots
Amazon Connect
- Receive calls, create contact flows, cloud-based virtual contact center
- Can integrate with other CRM systems or AWS
- No upfront payments, 80% cheaper than traditional contact center solutions
Amazon Comprehend
- For Natural Language Processing – NLP
- Fully managed and serverless service
- Uses machine learning to find insights and relationships in text
- Language of the text
- Extracts key phrases, places, people, brands, or events
- Understands how positive or negative the text is
- Analyzes text using tokenization and parts of speech
- Automatically organizes a collection of text files by topic
- Sample use cases:
- analyze customer interactions (emails) to find what leads to a positive or negative experience
- Create and groups articles by topics that Comprehend will uncover
Amazon SageMaker
- Fully managed service for developers / data scientists to build ML models
- Typically, difficult to do all the processes in one place + provision servers
- Machine learning process (simplified): predicting your exam score
Amazon Forecast
- Fully managed service that uses ML to deliver highly accurate forecasts
- Example: predict the future sales of a raincoat
- 50% more accurate than looking at the data itself
- Reduce forecasting time from months to hours
- Use cases: Product Demand Planning, Financial Planning, Resource Planning,etc..
Amazon Kendra
- Fully managed document search service powered by Machine Learning
- Extract answers from within a document (text, pdf, HTML, PowerPoint, MS Word, FAQs…)
- Natural language search capabilities
- Learn from user interactions/feedback to promote preferred results (Incremental Learning)
- Ability to manually fine-tune search results (importance of data, freshness, custom,etc..)
Amazon Personalize
- Fully managed ML-service to build apps with real-time personalized recommendations
- Example: personalized product recommendations/re-ranking, customized direct marketing
- Example: User bought gardening tools, provide recommendations on the next one to buy
- Same technology used by Amazon.com
- Integrates into existing websites, applications, SMS, email marketing systems, …
- Implement in days, not months (you don’t need to build, train, and deploy ML solutions)
- Use cases: retail stores, media and entertainment
Amazon Textract
- Automatically extracts text, handwriting, and data from any scanned documents using AI and ML
- Extract data from forms and tables
- Read and process any type of document (PDFs, images, …)
- Use cases:
- Financial Services (e.g., invoices, financial reports)
- Healthcare (e.g., medical records, insurance claims)
- Public Sector (e.g., tax forms, ID documents, passports)
Summary
- Rekognition: face detection, labeling, celebrity recognition
- Transcribe: audio to text (ex: subtitles)
- Polly: text to audio
- Translate: translations
- Lex: build conversational bots – chatbot
- Connect: cloud contact center
- Comprehend: natural language processing
- SageMaker: machine learning for every developer and data scientist
- Forecast: build highly accurate forecasts
- Kendra: ML-powered search engine
- Personalize: real-time personalized recommendations
- Textract: detect text and data in documents
Security & Compliance 
List Account Management, Billing & Support 
Download PDF : AWS Cloud Practitioner Study Notes (PDF)