NotebookLM: Advanced Techniques
Ready to take your AI data skills to the next level? Join this hands-on extended workshop to master advanced web search, data structuring, and how to implement a 'circular workflow' for richer outputs in NotebookLM.
Book this courseCourse Overview
1.5 hour course
Certificate of Attendance
Private
This expert-led, hands-on session builds on your foundational knowledge of NotebookLM, helping you use more advanced techniques to enrich datasets, structure messy information and generate stronger outputs.
Designed for users who already understand the basics, this course shows you how to unlock NotebookLM’s wider analytical potential. Using our practical “listen, see, do” approach, you’ll learn how to apply a circular workflow that improves the quality and depth of your results over time.
You’ll explore how to prompt the “search the web” feature precisely, augment your existing data and get more direct answers without the conversational back-and-forth often found in other AI tools.
You’ll also learn how to extract insights from conversation outputs, generate reports, and feed those notes and reports back into NotebookLM as new sources.
By the end of the session, you’ll be able to turn chaotic PDFs, websites and unstructured information into enriched datasets and deeper, more useful outputs.
Our NotebookLM: Advanced Techniques workshop is available as a private training session that can be delivered virtually or at a location of your choice in Australia.
What you'll learn
By the end of this course, you will be able to:
Understand what NotebookLM is and how it differs from standard AI chat tools like Gemini
Execute precise web searches within the 'add sources' menu to cleanly augment existing datasets
Understand and implement a 'circular workflow' by importing generated notes and reports back into the tool as fresh data sources
Transform unstructured, chaotic data from disparate PDFs and websites into neat data tables with exact column headers based on prompts you write
Navigate the interface and effectively upload varied source materials, including PDFs, slideware, text, websites, and YouTube videos
Save the insights from your conversation as sources that you can directly feedback into the knowledge base
Leverage NotebookLM to read inputs and generate smarter prompts to drive comprehensive reports
Generate significantly richer Studio outputs (such as audio overviews and slide decks) as a direct result of dataset enrichment
Course agenda
Quick Recap & Advanced Web Search
- A refresher: NotebookLM vs. Gemini
- Using the 'search the web for new sources' feature
- Writing precise prompts for web augmentation without the conversational friction
The 'Circular Workflow'
- Exploring the chat feature and using 'save to note' to capture insights
- Generating reports: letting NotebookLM read inputs to generate smarter prompts
- Importing notes and reports back in as data sources to enrich your dataset
Structuring the Unstructured (Hands-on)
- Taming chaotic data from disparate PDFs and websites into well understood data formats
- Prompting for exact column headers to create clean, structured data tables
Enhanced Studio Outputs & Wrap-up
- Seeing how enriched, circular datasets create superior Studio outputs
- Interactive exercises implementing the full methodology
- Group 'show and tell' and final Q&A
Who it's for
This course is for marketing professionals, social media managers, creative teams, content creators, designers, sales and business development teams, small business owners - and anyone curious about using AI to streamline their work.
No prior AI experience is required. It is perfect for business users who want a faster, lower-friction way to create tangible outputs from their data without needing to master advanced prompting techniques.
Prerequisites
Participants should know what NotebookLM is, and how to load in data and make basic Studio outputs.
BOOK THIS COURSE
Enquire for a team or large group
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