Gemini Pro AI + Awareness of the EU AI Act Training Course
This one-day practical course helps retail teams understand how to efficiently, responsibly, and in compliance with European legislation, use generative artificial intelligence tools in their daily work, leveraging Gemini Pro.
The training combines AI literacy, responsible AI usage, and practical prompting techniques, built around real-world scenarios. Participants will not only understand what AI can do, but also its limitations, risks, and the responsibilities associated with using it in a professional environment.
Through hands-on exercises and role-based workshops, participants will learn how to use Gemini Pro for marketing, operations, HR, sales, customer support, analysis, and internal organization, while avoiding common mistakes and compliance risks.
The course is designed for business users, not technical teams, with a strong emphasis on immediate applicability in daily tasks.
At the end of the training, participants will be able to:
• Understand the fundamentals of generative AI and Gemini Pro
• Use Gemini Pro more efficiently in daily tasks
• Formulate structured prompts that generate better results
• Use AI responsibly and in compliance with the EU AI Act
• Recognize AI limitations, hallucinations, and associated risks
• Use Gemini Pro for content creation, analysis, planning, and operational support
• Understand what data should not be entered into AI systems
• Build reusable prompt templates and libraries
• Increase team productivity by using AI in a secure and controlled manner
Participants will also leave with:
• Prompting templates
• EU AI Act checklist for users
• Practical examples from retail
• A prompt library built during the workshop
Course Outline
Module 1: Introduction to AI and Gemini Pro
• What is generative AI and how it differs from classical search
• Gemini Pro within the Google Workspace ecosystem
• AI limitations: hallucinations, context, and accuracy
• Principles of responsible AI usage
• How AI generates responses
Practical exercise:
Participants test and compare prompts in Gemini and analyze the differences between results.
Module 2: EU AI Act
• Introduction to the EU AI Act
• Risk categories explained with examples
• Commonly used AI systems
• Obligations of users vs. obligations of providers
• Sensitive data and prohibited uses of AI
• Implementation timeline and impact on organizations
Practical exercise:
Participants classify real retail scenarios according to the risk levels defined by the EU AI Act and discuss the implications.
Module 3: Effective Prompting
• Structure of a high-quality prompt
• Role, context, instructions, examples, and format
• Prompting techniques: zero-shot and few-shot
• How to refine and improve prompts
• Common errors and optimization methods
Practical exercise:
Participants rewrite their own prompts used in current work and compare the results before and after optimization.
Module 4: Real Use Cases for Gemini Pro in Retail (customizable based on audience)
• Product description generation
• Creating promotional content and emails
• Customer communication support
• Analyzing feedback and sales reports
• Internal organization and documentation
• AI-assisted onboarding and internal support
• Tasks that should not be delegated to AI
Practical exercise:
Role-based workshop for marketing, HR, operations, sales, and customer support teams, based on real retail scenarios.
Module 5: Responsible Usage and Best Practices
• What data should never be entered into AI
• How to identify hallucinations and incorrect responses
• Creating a reusable prompt library
• Team collaboration using shared prompts
• AI governance basics for business users
Practical exercise:
Participants build a practical prompt library that can be used immediately after the course.
Q&A & Next Steps
Requirements
• Active access to Google Workspace with Gemini Pro enabled
• No technical or programming knowledge required
Important note:
Gemini Pro requires an active Google Workspace Business or Enterprise license with Gemini access enabled, and access must be verified before the course date.
Open Training Courses require 5+ participants.
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Testimonials (1)
Flow , vibe and topic on presentation
Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis
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