Acad ID: ACAD0399

NotebookLM Fundamentals Training in Warsaw, Poland

This course focuses on how NotebookLM works with user-provided sources to generate grounded summaries, insights, and explanations.

Overview

NotebookLM Fundamentals Training introduces participants to NotebookLM as an AI-powered research, note-taking, and knowledge management tool. This course focuses on how NotebookLM works with user-provided sources to generate grounded summaries, insights, and explanations. Participants will learn how to organize information, ask better questions, and use AI responsibly to support research, learning, and professional workflows.

Learning Outcomes

• Understand the fundamentals and core features of NotebookLM
• Learn how to organize, summarize, and interact with information using AI assistance
• Explore AI-powered note-taking, research, and knowledge management workflows
• Apply prompting techniques to generate insights and structured outputs
• Improve productivity through AI-assisted information analysis and collaboration
• Understand responsible AI usage and source validation practices

Duration & Delivery Mode

14 hours

We serve:

Target Audience

• Knowledge workers and professionals
• Researchers and analysts
• Students and educators
• Content writers and editors
• Anyone managing large amounts of information

Pre-requisites

• Basic computer and document handling skills
• Familiarity with reading, writing, or research tasks
• No prior AI or technical experience required

Skillset Achieved

• Understanding NotebookLM concepts and capabilities
• Managing sources and notebooks effectively
• Asking effective questions based on source material
• Generating summaries and explanations
• Applying responsible and accurate AI usage

Course Outcome

By the end of this training, participants will be able to confidently use NotebookLM to organize information, generate accurate summaries, explore knowledge from trusted sources, and support learning or professional research workflows using responsible AI practices.

Course Outline

Introduction to NotebookLM
• What is NotebookLM and how it works
• Source-grounded AI and its advantages
• Key features and limitations

Setting Up and Managing Notebooks
• Creating notebooks and organizing content
• Uploading documents and source materials
• Best practices for information organization

Working with Sources and Context
• How NotebookLM uses source content
• Maintaining context across documents
• Avoiding ambiguity and misinformation

Summarization and Note Generation
• Creating summaries and key points
• Extracting insights and highlights
• Turning documents into structured notes

Asking Questions and Exploring Knowledge
• Asking clear and effective questions
• Follow-up queries and deeper exploration
• Understanding AI-generated explanations

Using NotebookLM for Learning and Research
• Study notes and learning support
• Research assistance and topic exploration
• Knowledge synthesis across multiple sources

Accuracy, Ethics, and Responsible AI Use
• Understanding AI limitations
• Avoiding hallucinations and bias
• Responsible use of AI-generated information

Hands-on Practice and Use Case Workshop
• Real-world notebook scenarios
• Guided exercises and practice
• Participant review and feedback

Assessment Topics

• Fundamentals and capabilities of NotebookLM
• AI-assisted note-taking and summarization workflows
• Prompt engineering and information querying techniques
• Knowledge organization and research management concepts
• Content generation and insight extraction exercises
• Practical hands-on activities using NotebookLM

Evaluation

• Participation in hands-on exercises
• Notebook setup and usage assessment
• Knowledge exploration review

Course Materials

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification

Participants who successfully complete the training will receive an AcadNXT Certificate in NotebookLM Fundamentals Training, validating their understanding of NotebookLM features, source-based AI interaction, and responsible usage.

SELECT AN UPCOMING CLASS

Fri 30th Oct 2026 – Sat 31st Oct 2026

⏱ 2 days 📍 Classroom