- Course overview
- Course details
- Prerequisites
Course overview
About this course
This course is for business users, data analysts, and knowledge workers who want to learn about Amazon Quick, AWS’s AI-powered workspace. You will learn how to use Quick to work more efficiently with data and enterprise information sources. You will learn how to navigate the Amazon Quick workspace and visualize and analyze data with Quick Sight. You will also organize knowledge resources in Quick Spaces, build custom AI chat agents, and automate workflows with Quick Flows. Hands-on labs reinforce each major topic, giving you the practice needed to apply these skills in your organization.
Audience profile
• AWS Customers - Business Analysts, Data Analysts, Consultants and Business Users
• AWS Partners
Course details
Module 1: Introduction to Amazon Quick
• The agentic AI-powered workspace
• Amazon Quick for AI-Powered Productivity and Business Intelligence
• Amazon Quick core capabilities
• Navigating Amazon Quick
Module 2: Visualizing and Analyzing Data with Amazon Quick Sight
• Introduction to AI-powered analytics with Amazon Quick Sight
• Creating and managing datasets for analysis
• Building interactive dashboards and visualizations
• Understanding scenarios and data stories
• Hands-On Lab: Exploring the Generative Business Intelligence Features in Amazon Quick Sight
Module 3: Amazon Quick Spaces and Chat Agents
• Knowledge bases and connectors
• Using Quick spaces for aggregating resources
• Chat agents in Amazon Quick
• Effective prompting techniques
• Hands-On Lab: Create an HR agent with Amazon Quick
Module 4: Amazon Quick Flows and Research
• Orchestrating agentic workflows with Quick Flows
• Creating and running flows in Quick flows
• Launching research projects with Quick Research
• Hands-On Lab: Conducting Research and creating Flows with Amazon Quick
Prerequisites
• Basic understanding of cloud computing concepts
• Familiarity with web-based applications
Enquiry
Course : Amazon Quick for AI-Powered Productivity and Business Intelligence
Enquiry
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