To fully engage with and benefit from the "NotebookLM Mastery" course, participants are required to:

• Have access to NotebookLM and be prepared to upload their own source materials. These materials can include a wide range of document types, such as Google Docs, PDFs, academic papers, guides, frameworks, and personal research notes.

• Be ready to actively create and manage notebooks within the platform, adding their documents to a workspace to begin the AI processing and querying.

• While not a technical prerequisite, an active engagement with the tool through practice, such as selecting articles for analysis and asking specific questions, is essential for effective learning

This Artificial Intelligence course prepared by CFO Stan offers a comprehensive guide to leveraging Google's NotebookLM to transform personal and professional workflows. It focuses on NotebookLM as an AI-powered knowledge assistant that goes beyond traditional note-taking by actively helping users make sense of information. Participants will learn how to utilise its embedded language model to explain, summarise, compare, and answer questions based solely on their uploaded documents. The course emphasises NotebookLM's ability to provide targeted, content-grounded responses with clear, linked citations, ensuring accuracy and transparency. It is designed to enhance existing work processes, amplifying human judgment and critical thinking rather than replacing them

1. Comprehend NotebookLM's Foundational Principles: Gain a deep understanding of NotebookLM's overview, key capabilities, and how it fundamentally differs from traditional note-taking tools by providing automated analysis and insight generation.
2. Optimise Note Creation and Organisation with AI: Implement best practices for effortless note creation and organisation, including structuring notes for clarity, and leveraging AI for smart summaries and deeper insights, thus enhancing comprehension and critical analysis.
3. Supercharge Research and Knowledge Management: Effectively use NotebookLM for strategic information gathering, applying AI-driven categorisation and tagging to manage growing content, and seamlessly integrating diverse external sources and documents into a unified knowledge base.
4. Boost Productivity through AI Workflows: Automate various tasks, utilise AI as a creativity partner for brainstorming and idea generation, efficiently convert notes into actionable to-do lists, and create purpose-aligned AI-generated summaries. This also includes increasing overall productivity through seamless Google Workspace integration.
5. Apply NotebookLM Across Professional and Academic Contexts: Understand and implement NotebookLM's applications for enhancing learning and teaching (for students and educators), streamlining business and project management workflows, and assisting in content creation as an AI writing assistant. Participants will also learn from real-world success stories across various industries.
6. Practise Responsible AI Use: Develop an understanding of ethical AI best practices for note-taking and knowledge work, including source transparency, maintaining authentic voice, proper attribution, and critically recognising and mitigating AI's inherent biases, accuracy limitations, and reliability challenges.
7. Navigate Future AI Trends with Confidence: Be prepared for the evolving landscape of AI productivity tools, focusing on how NotebookLM enhances thinking clarity, manages complexity, and supports diverse workflows, ensuring adaptive and human-centred engagement with AI technology.