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AI

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.

Duration
24h · 3 days
Ask about the program → See all
Who it's for

Ideal for teams that…

1 Data managers and analysts who want to automate reporting and analysis
2 IT specialists responsible for implementing AI in business environments
3 Customer service and technical support staff
4 Developers and integrators aiming to use chatbots to streamline processes
5 Team leaders driving digital transformation and productivity growth
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

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

Program

What we actually do

  • · 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
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

How we handle your data

We process your business data (name, work e-mail, phone number, company, job title) in order to handle your corporate training inquiry and prepare an offer. The data controller is infoShare Academy Sp. z o.o., Al. Grunwaldzka 472B, 80-309 Gdańsk. Providing the data is voluntary but necessary to receive a response. You have the right to access, rectify, erase or restrict the processing of your data and to object to it. Full information is available in our data processing notice.

Optional marketing consents

The controller of your personal data is infoShare Academy sp. z o.o. The rules for processing personal data are set out in the Privacy Policy and the Data Processing Notice.

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