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NotebookLM : Generative AI Interacting with Your Own Data (Udemy.com)

NotebookLM is an interactive AI playground for data analysis and machine learning from the Google Gemini team

Created by: Scott Duffy

Last updated May 2025

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What you will learn

  • Understand the fundamentals of NotebookLM
  • Master basic NotebookLM operations
  • Apply NotebookLM for data analysis
  • Leverage advanced NotebookLM features

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.5 out of 5higher than 46% of them
  • Reviews820#172 of 462 by number of reviews
  • Length1.1 hoursshorter than 97% of them
  • Last updatedMay 2025earlier than 58% of them

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Course Description

Unlock the power of artificial intelligence with NotebookLM, a powerful and intuitive tool designed to make data analysis and machine learning accessible to everyone. In this comprehensive course, you'll learn how to use NotebookLM to explore data using natural language processing and gain valuable insights.

This course is a set of videos that demonstrate the capabilities of NotebookLM.

You'll see how it can:

  • Interpret the contents of a CSV file

  • Analyze a YouTube Video using its transcript

  • Create mind maps

  • Understand the sentiment of hundreds of reviews

  • Analyze a company's 10Q and related investor call

  • Determine the purpose of Javascript, python, and other code

  • Gain insights from PDF research papers

  • Consolidate several sources (up to 50) into a single chat-like interface

Disclaimer: This course is primarily designed to demonstrate the power of NotebookLM. You should be able to follow along using your account if you wish. Links to the data sources used are provided.

NotebookLM is like using a Generative AI such as ChatGPT or Gemini on your own data. Gain insights from things that are important to you.

Whether you're a data scientist, researcher, student, or simply curious about AI, this course will equip you with the skills and knowledge you need to succeed. Join us on this exciting journey and discover the endless possibilities of NotebookLM!

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Instructor Details

Scott Duffy

Hi there, my name is Scott Duffy. And I love making complex technical topics easy to understand. 

    This has been the basis of my entire career – as a developer, as a development manager, as a software architect – over the past 20 years. I spend half my time in the world of business, explaining complex technical topics to business owners and stakeholders so that they can understand and agree with my approach to solving their business problems with technical solutions. And the other half with developers, explaining the business reasons behind decisions and ensuring that any decisions made on the technical side don't restrict the business in unexpected ways. 

    And I'm here on Udemy to teach what I know in an approachable way. I started teaching courses in 2014, and have taught over 1,600,000 students. I am grateful every day for being able to connect with so many students in almost every country around the world.

    I'm a certified Enterprise Architect and certified cloud architect. I have been developing with Microsoft technologies for 20 years, starting with Classic ASP, and all the versions of .NET. We now live in the cloud era, with Microsoft Azure being prevalent in most large enterprises. I'm certified as an Azure Architect and Developer too. As well as AWS Solution Architect Associate (SAA).

    Microsoft MVP Award winner for 2022-2025.

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Reviews

4.5

820 ratings on Udemy

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By Josh Krzyzanowski on 8/24/2026

Was a great one-hour overview of what Notebook LM is and what it is capable of. Exactly the length I needed to get be going on learning more about Notebook LM.

By Ulrich Alexander Paul Thude on 8/15/2026

Very nice short, still detailed overview of NotebookLM, giving me a good understanding on what can be done in this environment, thanks!

By E Lester on 6/30/2026

Very nice introduction to the NotebookLM tool. Liked the initial introduction section to help determine if this was worth the additional time investment. Also appreciated the all the individual feature breakdowns instead of just one long session. Was initially going to pick and choose, but liked the instructor's easy to follow breakdowns, guidance, and examples. Thus, ended up watching everything instead to take in all the features for reference. Thanks for the additional new feature updates as well to help keep the content more current. Enjoyed the course. Thank you.

By Peter Lale on 2/2/2026

This course gave me the introduction I needed to the subject and saved me a lot of time. It was also well presented and really up to date in a fast moving topic.

By Manfred Roos on 11/12/2025

Guter Kurs, um sich einen Überblick zu verschaffen. Ich habe die Geschwindigkeit der Tonspur auf 1,25 bis 1,5 erhöht.

By Anonymized User on 9/1/2025

Nice course! Would like a more in depth explanation for all the examples (e.g. more real live accurate coding cases like multi-file or even multi-repo analysis, more personalization for podcasts...).

By Cami Quezada Viancos on 7/14/2025

i think it was longer that what it was needed. also the example could be more for the general audience that for people familiarized with, not azure

By Dino Ljubovic on 6/20/2025

Scott is great! I came from his AZ900 course where he talked a bit about NotebookLM. Only thing I would love to see is a section on using NotebookLM to prepare for interviews.

By Gabe Bustos on 12/14/2024

Great short and lively Course for getting me started In learning Notebook LM. Thanks to the Course Author... If he has a follow up Course with additional Practical Application I would take it....

By Alexander Trust on 11/19/2024

I have a lot of technical background since I started using computers when I was seven years old. I want to make my own courses one day, so I am searching for topics that are new to me, but motivate me and I can then judge a bit better about the provided material. That said: This introduction will show others how NotebookLM works, and it does it in a very thoughtful way "by examples", which is easy to understand and makes the most people curious to try out their own ideas. I won't vote 5 stars mainly because of two reasons: 1) as this is just an introduction and it leaves open some paths the user has to walk alone on, it is too expensive. 2) One question came to my mind which was also introduced by the host but he did not answer it. So I had to go and see for myself, that this "podcast" feature of NotebookLM does not yet provide a transcript of the audio, so one could the use another AI with voice manipulation to put ones own voice into play( Section 2: Chapter 9). Other than that: Thank you for your effort, Mr. Duffy.

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Overall Score : 90 / 100