Ref: https://www.udemy.com/course/aws-ai-practitioner-certified/learn/lecture/45796557
Amazon Q for QuickSight
- 🔧 Amazon QuickSight is used to visualize your data
- 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