Technologies / Artificial Intelligence

NotebookLM in practice

Intensywny warsztat praktyczny poświęcony efektywnemu wykorzystaniu NotebookLM do optymalizacji procesów badawczych i zarządzania wiedzą. Uczestnicy poznają zaawansowane techniki analizy dokumentów, syntezy informacji i generowania treści w oparciu o własne zbiory danych. Szkolenie łączy demonstracje funkcji z intensywnymi ćwiczeniami praktycznymi oraz studiami przypadków z różnych branż, kładąc nacisk na etyczne i odpowiedzialne wykorzystanie technologii AI.

Issues

The concept of ‘grounding’ AI in concrete data
Techniques for importing and optimizing source documents
Advanced AI prompting and communication strategies
Generate and synthesize content from sources
Note management and knowledge base organization
Verify citations and check credibility of sources
Ethics of using AI in research processes
Issues of authorship and plagiarism in AI content
Technological limitations and informed use
Industry applications in science, law and business
Security and privacy of data in the cloud
Strategies for implementing AI tools in an organization

Benefits

- You will master advanced techniques for analyzing documents and extracting key information from large data sets - You will learn to formulate precise queries to AI that yield the best and most useful answers - You will be able to generate high quality summaries, outlines and drafts based on your sources - You will gain the skills to build a personalized knowledge base using notes and quotes - You will learn practical applications of NotebookLM in your industry by analyzing real-life case studies - You will develop a strategy for ethical and responsible use of AI tools in your professional work - You will receive a ready-made NotebookLM implementation plan to optimize your own research processes - You will gain the skills to critically evaluate and verify content generated by artificial intelligence

Who is this training for?

Students and doctoral students conducting research

Researchers and data analysts

Lawyers analyzing documents and regulations

Journalists working with news sources

Writers and copywriters who create content

Marketing and content marketing specialists

Project managers managing project knowledge

Consultants and business analysts

Prerequisites

Proficient in computer and web browsers
Experience working with text documents and analyzing information
Having an active Google account to log into NotebookLM
Basic knowledge of the principles of research work and information retrieval
Prepare some of your own documents for use in practical exercises

Training program

What is NotebookLM and how it differs from standard chatbots (the concept of 'grounding' in data)
Navigating the interface: source panel, notes and interaction window
Adding and managing sources: importing files (PDF, Docs), pasting text and best practices for document preparation

Practical exercise: create a first notebook, import a set of documents and ask simple questions to verify AI's understanding of the material
Working with AI: From Asking Questions to Generating Content
The art of asking questions (prompting): How to formulate precise questions to get the best answers. Analysis of answers and verification of quotes
Content generation and synthesis: Create automated summaries, outlines, and draft texts based on sources
Knowledge management in practice: Using notes to record findings, linking them to citations and building a personalized knowledge base
Practical exercise: intensive work with imported sources: asking complex questions, generating a summary, creating an article outline and organizing results in notes

Practical case studies (Case Studies): How to use NotebookLM in science, business, law or creative work. Analysis of complex collections of documents
Best practices and limitations: How to get the best results and what to avoid. Awareness of technological limitations
Ethics and responsibility: issues of authorship, plagiarism and critical thinking in working with AI-generated content
Practical exercise: Case study analysis - solving an industry problem using NotebookLM. Discussion of ethics and best practices

A brief summary of key features and benefits

Creating a customized plan to implement the tool
Tips for further development and available resources

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For NotebookLM in practice we recommend: Proficient in computer and web browsers; Experience working with text documents and analyzing information; Having an active Google account to log into NotebookLM.

What is the format and duration of this training?

The training lasts 1 day and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Students and doctoral students conducting research; Researchers and data analysts; Lawyers analyzing documents and regulations.