Amazon Quick for AI-Powered Productivity and Business Intelligence

Overview

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.

Activities

This course includes presentations, hands-on labs, demonstrations, assessments, and group discussion.

Prerequisites

We recommend that attendees of this course have:

• Basic understanding of cloud computing concepts
• Familiarity with web-based applications

Target Audience

This course is designed for:

• AWS Customers – Business Analysts, Data Analysts, Consultants and Business Users
• AWS Partners

Objectives

By the end of this course, learners will be able to:

• Navigate Amazon Quick and understand core capabilities across different tools
• Create interactive dashboards and visualizations using Quick Sight to generate actionable business insights
• Create and manage Spaces with appropriate data sources, permissions, and security controls for team collaboration
• Build and deploy custom Chat Agents and Flows to automate repetitive tasks and enhance productivity
• Conduct comprehensive research using the Research Agent across multiple data sources with proper source validation

Outline

Module 1: Introduction to Amazon Quick

• The agentic AI-powered workspace
• 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

Exams and Assessments

There is no certification or exam associated with this course.

Hands-On Learning

This course is delivered through a mixture of presentations, demonstrations and practical learner labs.