A Hands-On Look at Amazon Q Business Expert

This course has been created with the help of Amazon Q business expert.

Amazon Q business expert helps businesses solve the problem of empowering various business users to gain insights from company data and make better decisions. Amazon Q can be tailored to a business by connecting it to the company's data, information and systems through over 40 built-in connectors. This allows various business users such as marketers, project managers and sales representatives to have tailored conversations to solve problems, generate content, take actions and improve their decision-making, 

Join us for a deeper dive into the world of Amazon Q, to learn how to make better data-driven decisions and improve employee productivity through hands-on demonstrations, digital whiteboarding and relatable story-telling.

• Course Level: Intermediate
• Duration: 1 hour

Activities

This course includes presentations based on practical examples, with use-cases and demonstrations.

Course Objectives

By the end of this session, attendees will be able to:

• Understand the different versions of Amazon Q and the appropriate use cases.
• Define the key use cases for Amazon Q business expert.
• Describe how Amazon Q business expert can help business users become more productive.
• Identify key challenges when adopting generative AI for a workforce.
• Understand the key features in Amazon Q business expert in relation to
  • Conversational Q&A
  • Uploading files and analyzing content
  • Creating applications
  • Creating and configuring data source connectors
  • Creating and configuring a native retriever
  • Third party plug-ins and actions
  • Access control, guardrails, safety & security
• Gain a practical understanding of how to use Amazon Q business expert to improve employee productivity and creativity.
• Understand how to make API calls to invoke Amazon Q business expert functions.
• Awareness of the Amazon Q business expert workshop for a deeper technical dive into the service.

Course Outcomes

• Gain a practical understanding of how to configure, setup and use Amazon Q business expert in the context of improving employee productivity, enhancing creativity and improved decision-making.
• Be able to describe and position the technology as part of a solution architecture.
• Understand the practical uses of Amazon Q business expert with a focus on responsible, inclusive, and ethical use of the technology.

Intended Audience

This course is intended for:

• Non-technical enthusiasts
• Technical enthusiasts
• Decision makers

Prerequisites

Introduction to Information Retrieval with Amazon Q

Course Outline & Module Overview

Module 1: Introduction to Amazon Q

• Overview of Amazon Q areas of expertise and use cases
• Why use  Amazon Q business expert 

Module 2: Key Features of Amazon Q business expert (20 minutes)

• Application creation
• Data source and retriever configuration
• Content analysis with uploaded files
• Third party plug-ins and actions
• Access controls, guardrails, safety and security features 

Module 3: Use Cases of Amazon Q business expert (10 minutes)

• Improving employee productivity through conversation
• Enhancing creativity 
• Responsible, inclusive and ethical use 

Module 4: Architectural Concepts (15 minutes)

• Solution architecture example
• Deployment & identity provider integration
• API invocation for custom functions 

Module 5: Next Steps (5 minutes)

• Introduction to the Amazon Q business expert workshop
• Introduction to Amazon Q resources
• The Future of AI