Ref: https://www.udemy.com/course/aws-ai-practitioner-certified/learn/lecture/45796557

• Contents:

Amazon Q for QuickSight

• 🔧 Amazon QuickSight is used to visualize your data
  • With data dashboards
• Amazon Q integration with QuickSight → Use natural language to:
  • Ask questions about your data
  • Create executive summaries of your data
  • Generate and edit visuals for your dashboards

Amazon Q for EC2

• 🔧 Amazon EC2 is IaaS
  • Customers can provision virtual servers, a.k.a. EC2 instances
• Amazon Q integration with EC2 → use natural language to:
  • Ask for guidance and suggestions on what EC2 instance types are best suited for your workload
  • Specify workload requirements and ask for advice

Amazon Q for Connect

• 🔧 Amazon Connect provides a seamless experience for your contact center customers and users
  • Full suite of features across communication channels

• Amazon Q integration with Connect → agents get suggested responses and actions to address customer questions
  • Quickly access knowledge articles, wikis, FAQs, and customer information
  • Real-time conversation with the customer can also be used for suggestions on how to better help customers

Amazon Q for Glue

• 🔧 AWS Glue is an “ETL” (Extract Transform and Load) service
  • Move and transform data across places
  • Can also generate data catalogs

• Amazon Q integration with Glue → use natural language to:
  • Answer general questions about Glue, maybe provide links to the documentation
  • Assist with ETL code and jobs
    • Answer questions about AWS Glue ETL scripts
    • Generate new code
    • Understand errors in AWS Glue jobs