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Cloud Practitioner

Domain 3 · Technology1 min read

AI/ML and analytics services

Exam guide task statement 3.7: Identify AWS artificial intelligence and machine learning (AI/ML) services and analytics services.

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AI services solve a specific task with an API call and no ML expertise; SageMaker AI is for building your own models. Analytics services query, process, stream, search, warehouse, and visualize data.

AI/ML services

  • Amazon SageMaker AI: Build, train, and deploy your own machine learning models.
  • Amazon Q: Generative AI assistant for work and for building on AWS (answering questions, generating code, summarizing data).
  • Amazon Lex: Build conversational interfaces (chatbots and voice bots).
  • Amazon Polly: Text to lifelike speech.
  • Amazon Transcribe: Speech to text.
  • Amazon Translate: Language translation.
  • Amazon Comprehend: Natural language processing: find sentiment, key phrases, and entities in text.
  • Amazon Rekognition: Image and video analysis: objects, faces, text in images, unsafe content.
  • Amazon Textract: Extract printed text, handwriting, forms, and tables from scanned documents.

Analytics services

  • Amazon Athena: Serverless, interactive SQL queries directly on data in S3; pay per query.
  • Amazon Kinesis: Collect and process real-time streaming data (clickstreams, IoT telemetry, logs).
  • AWS Glue: Serverless data integration (ETL) and a Data Catalog that describes your datasets.
  • Amazon Quick Sight: Business intelligence: interactive dashboards and visualizations.
  • Amazon Redshift: Petabyte-scale cloud data warehouse for analytics with SQL.
  • Amazon EMR: Managed big data frameworks such as Apache Spark and Hadoop.
  • Amazon OpenSearch Service: Search, log analytics, and real-time application monitoring.

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