Build on your NotebookLM fundamentals in this practical workshop, focused on advanced research, synthesis and reporting. Learn the circular workflow: targeted web search, structured report creation, source re-importing and data enrichment. You’ll also turn messy PDF and website content into organized tables that support clearer, more actionable project outputs.

Who Should Attend

This session is ideal for marketing specialists, social media managers, creative professionals, content producers, design teams, sales and business development personnel, entrepreneurs, and anyone interested in utilizing AI to optimise their workflows. No background in AI is necessary. It is well-suited for professionals who need a quicker, more efficient method to transform their data into meaningful assets without requiring complex prompt engineering skills.

Prerequisites

Attendees should have a working knowledge of NotebookLM, including familiarity with uploading data and creating standard Studio outputs.

What You’ll Learn

  • The role of NotebookLM compared with general AI chat assistants

  • Workspace navigation and source uploads, including PDFs, presentations, text, web pages and video content

  • The Add Sources feature for targeted web searches that strengthen your knowledge base

  • Techniques for capturing conversational insights and saving them as reusable sources

  • The circular workflow model for using generated notes and reports to continually update your dataset

  • Methods for using NotebookLM’s source interpretation to build stronger prompts for detailed reporting

  • Approaches for turning unorganised data from files and websites into clean, structured tables

  • Refined dataset techniques for producing higher-quality Studio assets, including slide presentations and audio summaries

Tools used

NotebookLM, Google Gemini, and Google Workspace (Docs, Slides).

Course Agenda

    • Reconsidering the differences: NotebookLM compared to Gemini
    • Utilising the 'search the web' function for new data acquisition
    • Creating targeted prompts to update your data without the typical conversational overhead

Why our approach works

Measurable impact

Measurable impact

Track the return on learning investment through greater efficiency, productivity and cost savings.

Applied learning

Applied learning

Prioritise practical value, business needs and measurable outcomes when evaluating and applying AI solutions.

Get in touch

For further information about the content we cover and how we can help your business with our AI learning, our team is here to help.