NotebookLM - The Essential AI Tool for Accountants (Video) (Course Id 2736)

This self-study course provides accounting professionals with a structured, practical introduction to using NotebookLM in day-to-day practice. Participants learn how to set up notebooks, manage and curate sources, reduce AI hallucinations through retrieval-based workflows, and generate reliable outputs such as research, reports, data tables, visual assets, and learning content. Emphasis is placed on accuracy, confidentiality, professional judgement, and responsible AI use in accounting contexts. 

Course Learning Objectives

1. Evaluate how Notebook LM functions as a retrieval-augmented knowledge system to reduce AI hallucinations while maintaining data privacy and source traceability in professional accounting research.
2. Build a structured Notebook LM knowledge base by importing, organising, and validating multiple source types to support reliable tax, advisory, and research workflows.
3. Produce audio and video overviews from curated source material to support alternative learning formats, internal training, and client-facing explanations of complex accounting topics.
4. Generate structured reports, mind maps, and draft written content from an accounting knowledge base to support learning, planning, and content development initiatives.
5. Create professional infographics and slide decks from trusted accounting sources using structured prompts and brand guidelines for training, marketing, or presentation purposes.
6. Transform unstructured financial documents into structured data tables and exportable spreadsheets to support expense analysis, validation, and downstream accounting system integration.
7. Implement best-practice controls for privacy, sharing, and workflow management within Notebook LM to safeguard confidential information and scale AI use across accounting projects.