Overview
This course has been created with the help of an Amazon Q business expert.
Amazon Q business expert assists businesses in empowering various users to gain insights from company data, leading to better decision-making. It can be tailored to a business by connecting it to the company's data, information, and systems through over 40 built-in connectors. This helps marketers, project managers, and sales representatives engage in tailored conversations, solve problems, generate content, take actions, and enhance decision-making.
Join us for an in-depth exploration of Amazon Q to learn how to make better data-driven decisions and improve employee productivity through hands-on demonstrations, digital whiteboarding, and relatable storytelling.
- 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 make business users more productive.
- Identify key challenges when adopting generative AI for a workforce.
- Understand key features of Amazon Q business expert, including:
- Conversational Q&A
- Uploading files and analyzing content
- Creating applications
- Configuring data source connectors
- Setting up a native retriever
- Using third-party plug-ins and actions
- Access control, guardrails, safety & security
- Gain practical knowledge on using Amazon Q business expert to boost employee productivity and creativity.
- Learn how to make API calls to invoke Amazon Q business expert functions.
- Gain awareness of the Amazon Q business expert workshop for a deeper technical dive into the service.
Course Outcomes
- Acquire a practical understanding of configuring, setting up, and using Amazon Q business expert to enhance employee productivity, creativity, and decision-making.
- Understand how to describe and position the technology within a solution architecture.
- Recognize 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 aimed at:
- 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 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
Syllabus
Taught by
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