Gemini 3.0 Masterclass – analysis, automation and documents in Notebook LM

Training process

Training needs analysis

If you have specific requirements regarding the training programme, we will carry out a training needs analysis for you. This will guide us on which aspects of the programme should receive greater emphasis, so that the training programme meets your specific needs.

What will you gain?

Confident use of Google AI tools - You will learn when to use Gemini, Gemini Advanced, NotebookLM, Workspace and AI Studio, so you can choose the right tool faster and handle each task more effectively.

Prompts that deliver better output - You will master prompting techniques, roles, iteration and self-correction, so you can write instructions that lead to more accurate answers, stronger analysis and usable content.

Faster document analysis - You will learn how to work with PDFs, Word files, Excel sheets, presentations and Google Docs to quickly extract summaries, insights, risks and differences across document versions.

Your own knowledge base in NotebookLM - You will build a structured notebook based on company sources, making it easier to find answers in documents, verify citations and turn scattered team knowledge into usable insight.

Connected chats and sources - You will learn how to combine Gemini and NotebookLM into one workflow, so you can run research and business projects while keeping context, source traceability and current materials.

Automation of routine work - You will discover how to automate research, reports, meeting notes, correspondence and response drafting, helping you reduce the time spent on repetitive office and information tasks.

Practical business use cases - You will practice AI applications for management reports, strategic analysis, presentations and marketing, so you can implement concrete, high-value use cases in your organization.

Safe AI adoption - You will understand how to reduce hallucinations, protect confidential and personal data, and apply governance best practices, so you can use AI in a safer and more responsible way.

Training programme

1. Introduction to the Google AI ecosystem

overview of Google AI platforms:
- Gemini,
- Gemini Advanced,
- NotebookLM,
- Gemini in Google Workspace,
- AI Studio and Gems,
capabilities of the latest Gemini models:
- processing text, image, audio and video,
- multi-step reasoning,
- long contexts and analysis of large data sets,
- working with documents and organizational knowledge,
limitations and risks of working with AI:
- model hallucinations,
- verification of responses,
- data protection and information security.

2. Effective prompting in Gemini

techniques for creating effective prompts:
- contextual prompting,
- roles and personas,
- chains of thought,
- iterative refinement of results,
creating your own prompt templates:
- document analysis,
- reporting,
- research,
- customer service,
- marketing and sales,
advanced work techniques:
- Prompt chaining,
- Multi-step prompting,
- Self-review and self-correction.

3. Document analysis in Gemini

working with files:
- PDF,
- Word,
- Excel,
- PowerPoint,
- Google Docs,
automatic content development:
- summaries,
- Executive Summary,
- conclusions and recommendations,
- risk analysis,
analysis of business documentation:
- contracts,
- procedures,
- regulations,
- ESG reports,
- technical documentation,
analysis of large document collections
- information retrieval,
- comparing documents,
- detecting differences and inconsistencies.

4. NotebookLM as a knowledge management system

creating AI knowledge bases:
- notebook organization,
- source management,
- knowledge structures,
adding materials:
- PDFs,
- websites,
- presentations,
- company documents,
- training materials,
analysis of organizational knowledge:
- asking questions about documents,
- creating summaries,
- mapping relationships,
- discovering hidden knowledge,
citations and sources of information:
- verification of answers,
- working with facts,
- source auditing.

5. Gemini and NotebookLM Integration

Notebooks in Gemini:
- building AI projects,
- combining conversations and documents,
- context management,
creating intelligent projects:
- research projects,
- business projects,
- educational projects,
working with shared knowledge repositories:
- team knowledge management,
- maintaining project context,
- updating sources.

6. Automation of work with Gemini

automation of information processes:
- research,
- competitive analysis,
- market monitoring,
documentation generation:
- reports,
- meeting notes,
- project summaries,
- process documentation,
office work automation
- creating correspondence,
- analysis of submissions,
- developing responses,
building your own AI workflows:
- repeatable processes,
- organizational standards,
- knowledge repositories.

7. Gemini 3.0 + Google Notebook LM in practical scenarios

reports and analyses:
- management reports,
- strategic analyses,
- expert studies,
creating presentations:
- presentation structures,
- storytelling,
- automatic content preparation,
marketing materials:
- articles,
- SEO content,
- marketing campaigns.

8. Advanced AI applications

Deep Research:
- multi-source information analysis,
- knowledge synthesis,
- creation of expert reports,
analysis of unstructured data:
- documents,
- meeting transcripts,
- project notes,
creation of AI experts based on company knowledge:
- internal knowledge chatbots,
- project assistants,
- decision support systems.

9. Security and good practices

data protection:
- confidential data,
- personal data,
- business information,
AI Governance:
- organizational policies,
- quality control of responses,
- audit of AI usage,
implementation best practices:
- knowledge organization,
- standardization of promptów,
- knowledge base management.

10. Practical workshops

building your own NotebookLM project,
analysis of participants’ actual documents,
creating workflows automating work,
developing individual scenarios for the use of Gemini and NotebookLM in the organization.

What are the prerequisites for participating in the training?

Office document handling - You should be comfortable working with PDF files, Word documents, Excel sheets or presentations, because the training includes analyzing and comparing multiple document types.

Basic browser skills - You should confidently use a web browser, search tools and online services, as the training involves hands-on work in Google AI tools and with materials found online.

Experience working with content - You should have basic experience reading, creating or editing documents, so you can work efficiently with summaries, analysis tasks and knowledge organization exercises.

Awareness of company data - You should understand which information in your work is confidential or sensitive, because the training covers security topics and the responsible use of AI in practice.