NotebookLM for Beginners

Characteristics

The "NotebookLM for Beginners" course is designed for individuals who want to start using AI to work with documents, source materials, and notes, but do not require technical implementation or programming. The program guides participants from the basics of operating the tool, through organizing sources, to the practical use of summaries, notes, and Audio Overviews in individual and team work.

In practice, this means less time needed for material analysis, easier preparation of working notes, faster identification of key threads, and a more organized approach to working with knowledge. Instead of jumping between documents, participants learn to build a single work environment where content can be searched, compared, summarized, and discussed based on their own sources.

The course is workshop-based. Participants work on examples close to real-life applications: training materials, project documents, reports, articles, websites, and shared files. As a result, after completing the course, they are ready to implement NotebookLM into their own tasks — without theoretical fluff and without "AI magic" that only looks good on a slide.

Why implement NotebookLM into your work

• reduces the time needed to read and compare multiple sources simultaneously;
• facilitates the creation of working notes, study materials, and organized summaries;
• allows you to work on your own documents instead of the model's general knowledge;
• supports the verifiability of answers thanks to references to sources and citations;
• provides a quick way to create accessible material overviews, also in audio format.

Who is this course for

• specialists and managers working with a large number of documents, reports, and source materials;
• analysts, consultants, researchers, and individuals preparing recommendations or summaries; HR, L&D, marketing, sales, and back-office employees who need to organize knowledge quickly;
• educators, trainers, and creators of educational materials;
• everyone who wants to start using NotebookLM without prior experience with AI tools.

Course objectives and learning outcomes

After completing the course, the participant will be able to:

• independently configure NotebookLM and organize work on notebooks;
• add and organize sources in various formats, including documents, websites, and shared materials;
• create useful summaries, comparisons, check questions, and notes based on sources;
• use Audio Overviews for rapid learning and reviewing content in audio form;
• apply good practices for working with AI: answer verification, quality control, and safe data handling;

What business problems does this course help solve

• excess of scattered information and difficulty in getting to the point quickly;
• time-consuming preparation of notes after meetings, analyses, and reading documents;
• lack of a consistent way to work on materials from multiple sources;
• the need for faster onboarding and learning based on a large number of materials;
• low utilization of AI tools due to the lack of practical, structured implementation.

Course format

• interactive lecture with discussion moderated by the trainer;
• practical exercises carried out step-by-step live;
• working on examples close to the participants' daily tasks;
• live-lab allowing for the practice of key NotebookLM functions in action.

Benefits for the organization

• faster processing of knowledge and source materials by employees;
• more organized notes, summaries, and draft materials;
• better use of AI investments thanks to specific use case scenarios;
• less time wasted on manual searching of documents and creating summaries;
• greater awareness of AI limitations and more responsible use of the tool.

Prerequisites

• basic ease of working with online documents and productivity tools;
• ability to use files such as Google Docs, PDF, or websites;
• no programming or technical AI knowledge required.

1. Introduction to NotebookLM

• what NotebookLM is and how it differs from classic AI chatbots;
• logic of working on sources: notebook, sources, questions, citations, artifacts;
• most common use cases in business, education, and analytical work;
• environment configuration, basic settings, and first good practices.

Module result: Participant understands when NotebookLM really helps and when it requires additional verification or another tool.

2. Uploading and organizing sources

• adding documents and source materials to the notebook;
• working on sources such as PDFs, websites, Google Docs/Slides, YouTube, and selected audio files;
• organizing materials by topic, purpose, and stage of work;
• creating a notebook structure that facilitates subsequent questions and synthesis.

Module result: Participant can prepare a notebook for work so that the answers are more accurate and useful.

3. Generating summaries, questions, and conclusions

• creating general summaries, thematic outlines, and comparisons between sources;
• extraction of key facts, trends, recommendations, and risk points;
• creating study materials, working notes, and check questions;
• formulating good prompts for working on sources.

Module result: Participant knows how to extract the most important information from documents instead of wasting time manually searching content.

4. Audio Overviews and "hands-free" learning

• what Audio Overviews are and when to use them;
• generating concise or in-depth material overviews;
• using audio for reviews, onboarding, preparing for meetings, and learning on the go;
• limitations of this function and rules for verifying AI-generated content.

Module result: Participant can use audio as a real productivity support, not just a curiosity.

5. Integration with daily workflow

• connecting NotebookLM with Google Drive and working on team documents;
• transferring conclusions to documents, presentations, and further collaboration;
• using NotebookLM as an analytical and note-taking layer over existing materials;
• organizing simple, repeatable work scenarios for the team.

Module result: Participant sees how to embed NotebookLM into real processes instead of treating it as a separate "on the side" tool.

6. Good practices, privacy, and quality control

• how to ask questions to get more accurate answers;
• how to distinguish a useful summary from an overly general answer;
• verification of answers based on sources, citations, and context;
• security of working on data, tool limitations, and responsible AI use.

Module result: Participant finishes the course with a practical set of rules for safe and mature work with NotebookLM.

Is the course suitable for people without AI experience?

Yes. The program has been prepared for beginners and does not require technical or programming knowledge.

Do participants work practically with the tool?

Yes. The course takes the form of a workshop with exercises and work on examples in a live-lab environment.

Can the course be customized for an organization?

Yes. The scope can be expanded to include specific processes, document types, or team work scenarios.