Training: Amazon Q Business

Level

Intermediate

Duration

24h / 3 days

Date

Individually arranged

Price

Individually arranged

Training: Amazon Q Business

The Amazon Q Business training is a practical 2–3 day course introducing participants to the latest generative AI solutions tailored for business. Amazon Q Business is an advanced AI assistant that supports data analysis, task automation, and business decision-making based on consolidated enterprise data sources. During the course, you will learn how the platform works, how to integrate it with popular business tools, and how to configure and personalize responses to maximize team productivity.

Who is this training for?
  • logo infoshare Data managers and analysts who want to automate reporting and analysis
  • logo infoshare IT specialists responsible for implementing AI in business environments
  • logo infoshare Customer service and technical support staff
  • logo infoshare Developers and integrators aiming to use chatbots to streamline processes
  • logo infoshare Team leaders driving digital transformation and productivity growth

What will you learn during this training?

  • How to use Amazon Q Business to build business assistants and chatbots
  • How to effectively integrate AI with enterprise data and work tools
  • How to personalize AI responses to meet company and user requirements
  • How to automate processes to improve efficiency and customer service quality
  • How to monitor and manage security and compliance in AI deployments

Training Program

  • Day 1: Discover Amazon Q Business and Its Capabilities

    • Module 1: Introduction to the Q Business AI Assistant

      • Platform overview and its role in the AWS ecosystem
      • Core functions: data analysis, reporting, content generation
      • Integration with 40+ data sources (Amazon S3, Salesforce, Microsoft 365)
      • Security and access control in Q Business
    • Module 2: Configuring and Personalizing AI Responses

      • Defining response profiles: identity, tone, level of detail
      • Using built-in guardrails and security policies
      • Workshop: chatbot and assistant personalization tailored to company needs
  • Day 2: Practical Applications and Chatbot Development

    • Module 3: Building and Deploying Q Business Applications

      • Creating a chatbot with both anonymous and authenticated user access
      • Integration with documentation, support portals, and CRM systems
      • Handling multimodal attachments: PDFs, images, tables
      • Hands-on exercise: implementing a simple chatbot for a website or intranet
    • Module 4: Task Automation and Process Optimization

      • Automatically generating reports and summaries
      • Task forwarding and notifications (e.g., closing tickets, sending emails)
      • Monitoring user activity and optimizing functionality
      • Workshop: designing automation scenarios with Q Business
  • Day 3: Advanced Capabilities and Environment Management

    • Module 5: Extended Functionality and Q Apps Development

      • Building no-code applications based on natural interaction with the assistant
      • Managing data flows and integration with business tools
      • Analyzing AI performance and tailoring to industry-specific requirements
    • Module 6: Managing Security and Access Policies

      • Defining user roles and data sharing rules
      • Logging and auditing events, compliance reporting
      • Best practices for managing AI deployments in enterprises

Contact us

we will organize training for you tailored to your needs

Przemysław Wołosz

Key Account Manager

przemyslaw.wolosz@infoShareAcademy.com

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