Amazon Q in Connect: GenAI Contact Center
2h 17mIntermediate2025-03-11
Authors

Wendy Wong
Course details
AI stands to revolutionize the world of customer service, and contact centers are already following suit. In this course, instructor Wendy Wong shows you how to create personalized customer experience (CX) and leverage AI to understand and resolve customer inquiries using Amazon Q in Connect, the generative AI-powered assistant for customer service that delivers customers and agents the information they need to solve issues in real time quickly with ease. Transform your contact center with the power of AI using prompts in natural language to extract data insights and summarize customer calls. By the end of this course, you’ll be prepared to leverage Amazon Q in Connect to help deliver an omnichannel digital experience and increase agent productivity.
Learning objectives
Discover how to create an AI-powered contact center with Amazon Q in Connect.
Create personalized customer experience with omnichannel.
Resolve customer's enquiries with recommended suggestions.
Evaluate agent performance with Contact Lens in Amazon Connect.
Learning objectives
Discover how to create an AI-powered contact center with Amazon Q in Connect.
Create personalized customer experience with omnichannel.
Resolve customer's enquiries with recommended suggestions.
Evaluate agent performance with Contact Lens in Amazon Connect.
Skills covered
Amazon Web Services (AWS)AmazonGenerative AICloud ServicesCloud PlatformsArtificial Intelligence (AI)LearningCloud Computing
Concepts
0. Introduction
- 01 - AI-powered contact center with Amazon Q in Connect
1. Delivering an Omni-Channel Customer Experience
- 02 - Build trust and loyalty with customers
- 03 - Contact center challenges
- 04 - Enable conversational AI
- 05 - Deliver AI-powered business outcomes
- 06 - Offer digital channels
2. Introduction to Amazon Connect
- 07 - Getting started with Amazon Connect
- 08 - Personalizing your call center
- 09 - Technical architecture
- 10 - Understand call intent
- 11 - Customization for your organization
- 12 - Connecting to chatbots
- 13 - Create a contact flow
- 14 - Create a custom bot
3. AI-Powered Contact Center
- 15 - Introduction to Amazon Q in Connect
- 16 - Features for contact centers
- 17 - Recommended actions
- 18 - Real-time agent responses
- 19 - Knowledge search for generated responses
- 20 - Detect customer issues
- 21 - Add a domain
- 22 - Data connectors to build your knowledge base
4. Agent Experience
- 23 - Personalize CX with Amazon Connect Customer Profiles
- 24 - Create a case in Amazon Connect
- 25 - Resolve calls in the Amazon Connect agent workspace
- 26 - Chat with data using Contact Lens for Amazon Connect
- 27 - Use natural language to generate responses from data
- 28 - Deliver AI-powered recommendations
- 29 - Serve customers with in-app, web, and video
- 30 - Connect with customers via SMS
5. Manager Experience
- 31 - Enhance customer experience with data insights
- 32 - Create a GenAI post-call summarization
- 33 - Evaluate agent performance with Contact Lens for Amazon Connect
- 34 - Forecasting and agent scheduling
- 35 - Build IVRs and routes with Amazon Connect flows
- 36 - Set up your channels
- 37 - Access theme reports
- 38 - Monitor recorded conversations
Conclusion
- 39 - Cleaning up resources
- 40 - Summarizing what you learnt
- 41 - Access further resources
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