NotebookLM – Creating clear outputs from source materials quickly and easily (AINLM)

AI - Artificial Intelligence, AI for Professions

This hands-on course teaches practical AI methods to work with documents, capture and structure knowledge, and accelerate topic comprehension. NotebookLM helps you ingest varied sources, pose precise questions and produce consistent, shareable outputs.

The training uses real scenarios, exercises and proven practices to build confident users. You will create mind maps, audio and video overviews, infographics and slide decks, while applying data safety and repeatable workflows for long-term use.

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The course:

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  • NotebookLM as a work and study assistant
    1. What NotebookLM solves and where it adds value
    2. Typical scenarios: study, onboarding, internal docs, meeting prep, topic overviews
    3. Thinking of a notebook as a "working space over sources"
    4. What to expect from AI and how to set realistic expectations
    5. Practical demonstrations on real documents
  • How to prepare quality inputs (sources)
    1. What sources you can add to a notebook and how to work with them
    2. How to assemble materials by goal (course, project, client, audit, topic)
    3. How input quality affects output quality
    4. Practical guidelines for selecting and organizing sources
    5. Import limits and specifics (e.g., web pages, YouTube transcripts, copied sources, size limits)
  • Working with queries and guiding conversations over sources
    1. How to ask about content so the answer is useful
    2. How to specify desired output format (briefing, list, outline, FAQ, overview)
    3. How to ask for simpler explanations of complex parts
    4. How to move from a quick overview to deeper analysis
    5. Practical demonstrations on real documents
  • Overview and comprehension: summaries, explanations, mind maps
    1. Creating summaries for yourself, your team or management
    2. Using NotebookLM when learning a new topic
    3. Mind maps as a tool to navigate a topic and link concepts
    4. How to use a mind map to plan next questions and source work
  • Converting content into shareable formats
    1. Audio Overview for an audibly guided introduction to a topic
    2. Video Overview for clear explanations using AI‑narrated slides
    3. Infographics for visual summaries of key information
    4. Slide deck as a base presentation for internal or external use
    5. How to handle AI output inaccuracies and the need for verification
  • NotebookLM for team productivity and knowledge sharing
    1. Preparing materials for meetings and decision making
    2. Turning internal documents into clearer, more usable forms
    3. Converting know‑how into formats suitable for onboarding or training
    4. Sharing outputs and notebooks with attention to account type and permissions
  • Security, compliance and responsible AI use
    1. How to handle sensitive and internal information safely
    2. What not to submit to AI without approval or rules
    3. User responsibility for fact‑checking and final outputs
    4. Basic legal and ethical minimums (copyright, internal rules, transparency)
    5. Practical guidelines for safe deployment in an organization
  • Adoption into your own practice
    1. How to select first use cases with fast impact
    2. How to prepare reusable templates for working with NotebookLM
    3. How to measure benefit (time saved, quality, consistency)
    4. Final practical exercise using participants' own materials
    5. Recommendations for ongoing development and independent use
Assumed knowledge:
Basic computer skills; a Google account with access to NotebookLM is recommended.
Schedule:
0 days (9:00 AM - 5:00 PM )
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