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Introduction to Information Retrieval with Amazon Q

Offered By: Amazon Web Services via AWS Skill Builder

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Information Retrieval Courses Amazon Q Courses

Course Description

Overview

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


This course would provide a helpful overview of how Amazon Q can search for and summarize information to answer users' questions in a safe, faithful, helpful and responsible manner. The focus would be on finding and presenting factual information from reliable sources to address users' informational needs. Amazon Q aims to have thoughtful, nuanced discussions and looks forward to further conversations.


  • Course level: Fundamental
  • Duration: 25 minutes


Activities

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


Course objectives

In this course, you will learn to:

  • Understand why upskilling in generative AI increases productivity
  • Identify some challenges that enterprises face when they try to adopt generative AI for their workforce
  • Define Generative AI Stack
  • 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.
  • Understand the key features in Amazon Q business expert in relation to
    • End Users
      • Conversational question-answering on enterprise data
      • Upload files and analyze content
    • Admins
      • Execute actions using plugins
      • Safety and security
  • Define the key use cases for Amazon Q for AWS Builder Use
  • Gain a practical understanding of how to use Amazon Q for AWS Builder Use improve developer productivity and creativity.


Intended audience

This course is intended for:

  • Non-technical enthusiasts
  • Technical enthusiasts
  • Decision makers


Prerequisites

We recommend that attendees of this course have:

  • IT experience 
  • No prior cloud computing or AWS experience required 


Course outline

Section 1: The Opportunity and Challenges

  • Lesson 1: Overview of Employee productivity
  • Lesson 2: Generative AI’s ability
  • Lesson 3: 3main challenges adopting generative AI
    • Accuracy
    • Security & control
    • Time to Value
  • Lesson 4: How Amazon Q addresses generative AI Challenges above


Section 2: What is Amazon Q?

  • Lesson 5: Generative AI Stack
  • Lesson 6: Amazon Q areas of expertise
    • for Buisiness Use
      • Key Features
        • Conversational Q&A
        • Upload files and analyze content
        • Execute actions using plugins
        • Safety and security
    • for AWS Builder Use
      • Demo
        • AWS Management Console
        • AWS website
        • AWS Documentation
        • IDE


Section 3: Conclusion

  • Lesson 7: Recap generative AI challenges Amazon Q addresses
  • Lesson 8: Introduction to A Hands-On Look at Amazon Q Business Expert



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