Google Gemini – a smart assistant for everyone (AIGE)
AI - Artificial Intelligence, AI for End Users
Turn AI from "something I tried" into a tool that saves you time daily. This hands-on workshop shows how to use Google Gemini and generative AI in practical workflows to produce usable, accurate and secure outputs.
You will learn practical skills: writing high-quality prompts, generating and editing text and images, speeding up research and checks, and applying rules for data safety, copyrights and corporate use so results stay reliable and compliant.
Location, current course term
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The course:
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Get to know AI
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What artificial intelligence is and what generative AI means
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What Google Gemini can do today and where it has limits
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How AI is changing office work, communication and decisions
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Real-world examples: companies, freelancing and personal productivity
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Overview of AI tool types and where Gemini fits best
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Prompting and basics with generative AI (Gemini)
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How to give clear instructions so Gemini returns quality output
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Structure of a good prompt: goal, context, role, format, quality criteria
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Increasing result accuracy and handling inaccuracies or hallucinations
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Tips and tricks for faster iterations and better outputs
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Practical exercises: rewrite weak prompts into professional ones
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How to build a repeatable Gemini workflow for common tasks
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Generating texts and documents with Gemini
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When it makes sense to use AI for writing and when to avoid it
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Using Gemini to create emails, meeting notes, proposals and reports
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Writing in different styles: concise, formal, commercial, clear
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Preparing outlines, summaries, arguments and multiple reply options
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Quality checks and editing AI output before sending or publishing
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Practical exercises based on business and everyday scenarios
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Generating images and visuals with AI
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When to use AI for visuals and design work
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How to write good image prompts: style, composition, purpose, format
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Creating illustrations, banners, social visuals and presentation assets
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Combining Gemini with other tools for visual outputs as needed
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Limits of AI visuals: quality, brand fit, realism and legal risks
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Practical exercises: from brief to usable visual output
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Copyright law and the AI Act
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When and how to label content created with AI
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What to watch for when using AI outputs in company materials
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Basic orientation in the AI Act and its impact on organizations
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Copyrights, licenses, responsibility for outputs and source checks
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Practical recommendations for safe, responsible Gemini use
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AI and security
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What data to submit to AI and what should never be shared
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Risks with personal data, internal documents and sensitive info
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Safe habits for using AI at work and on personal devices
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User responsibility for outputs, fact-checking and final decisions
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How to set simple team or company rules for using Gemini
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Summary and conclusion
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Review key principles and common mistakes to avoid
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Recommended daily workflow for working with Gemini
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Practical tips to start using immediately after the course
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Time for questions and solving participants' specific scenarios
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Joint final exercise and hands-on training wrap-up
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Assumed knowledge:
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No prior AI experience required; basic computer skills and a Google account recommended.
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Schedule:
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2 days (9:00 AM - 5:00 PM )
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Language:
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