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AWS Flash - A Hands-On Look at Amazon Q Business Expert

Offered By: Amazon Web Services via AWS Skill Builder

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Business Intelligence Courses Data Analysis Courses Generative AI Courses Information Retrieval Courses Data-Driven Decision Making Courses Conversational AI Courses Amazon Q Courses

Course Description

Overview

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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



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