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
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.
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What Our Students Say
“NotebookLM finally made research notes easy to manage.”
“The source-grounded approach is perfect for serious research.”
“Very practical introduction to AI-assisted knowledge work.”
“Great for students and professionals alike.”
“A clear and well-structured fundamentals course.”