NotebookLM for Real Work: Think, Learn, and Analyze Smarter with AI | Dimple Sanghvi | Skillshare

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NotebookLM for Real Work: Think, Learn, and Analyze Smarter with AI

teacher avatar Dimple Sanghvi, AI Consultant, Lean Six Sigma Master Black Belt

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Taught by industry leaders & working professionals
Topics include illustration, design, photography, and more

Watch this class and thousands more

Get unlimited access to every class
Taught by industry leaders & working professionals
Topics include illustration, design, photography, and more

Lessons in This Class

    • 1.

      NotebookLM Introduction

      2:24

    • 2.

      The SOURCE LIBRARY NotebookLM

      1:35

    • 3.

      INTERACTING WITH DATA

      2:12

    • 4.

      NotebookLM : THE STUDIO

      1:55

    • 5.

      ADVANCED TOOLS in NotebookLM

      2:11

    • 6.

      SETTINGS & PRO FEATURES of NotebookLM

      2:16

    • 7.

      Practical use case : Lean Notebooklm

      3:12

    • 8.

      Lean Notebooklm 2 : Practical use case

      2:59

    • 9.

      Lean Notebooklm 3 : Practical use case

      6:04

    • 10.

      Lean Notebooklm 4 : Practical use case

      3:47

    • 11.

      Lean Notebooklm 5: Practical use case

      7:46

    • 12.

      Recap NotebookLM

      2:32

    • 13.

      Thank you for choosing NotebookLM Class

      4:08

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About This Class

NotebookLM for Beginners: Learn Faster, Think Smarter, and Work Better with AI

Struggling with long documents, research papers, reports, or study material?
Want to use AI for learning and understanding, not just quick answers?

In this beginner-friendly class, you’ll learn how to use NotebookLM as a practical AI tool to study smarter, analyze documents, and organize your thinking using your own sources.

Unlike general AI chat tools, NotebookLM works with your uploaded documents, making it ideal for students, professionals, researchers, trainers, and anyone dealing with information overload.

This class is not about complex prompts or technical setup.
It’s about using AI to understand, summarize, connect ideas, and learn faster.

 

What You’ll Learn

  • What NotebookLM is and how it’s different from ChatGPT and other AI tools
  • How to upload and work with your own documents in NotebookLM
  • How to ask better questions to get clearer explanations
  • How to summarize long documents and extract key ideas
  • How to use NotebookLM for studying, research, and everyday work
  • Simple AI workflows for learning, analysis, and productivity

 

Who This Class Is For

  • Beginners curious about AI tools for learning
  • Students and researchers working with articles, notes, or papers
  • Professionals dealing with reports, policies, or documentation
  • Educators, trainers, and content creators
  • Anyone who wants to use AI to think better, not just type faster

No coding or technical experience is required.

 

What You’ll Need

  • A NotebookLM account
  • At least one document (PDF, article, notes, or report)

 

Why Take This Class?

Most AI tools give you answers.
NotebookLM helps you build understanding from your own information.

By the end of this class, you’ll know how to use NotebookLM as a study assistant, research helper, and thinking partner, helping you learn faster, reduce overwhelm, and work with confidence.

 

Skills You’ll Gain

  • AI productivity
  • Learning with AI
  • Document analysis
  • Research and study skills
  • Knowledge organization
  • Critical thinking with AI

Meet Your Teacher

Teacher Profile Image

Dimple Sanghvi

AI Consultant, Lean Six Sigma Master Black Belt

Teacher

About Me

I am dedicated to empowering individuals to unlock their potential and make a meaningful impact. As a Consultant and Independent Director on a Corporate Board (NSE & BSE), I bring a wealth of experience to my roles, including being a Lean Six Sigma Master Black Belt and a Leadership Coach & Mentor. My expertise extends to AI, ML, and Data Science Coaching.

Let's connect on LinkedIn for professional growth and networking opportunities https://www.linkedin.com/in/dimplesanghvi/ to explore opportunities for professional growth and networking. I often discuss topics such as #ChatGPT, #DataAnalytics, #CoachingBusiness, #StorytellingWithData, and #LeanSixSigmaBlackBelt.

Join my Telegram channel to embark on a journey through Lean Six Sigma and Storytelling. Here,... See full profile

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Transcripts

1. NotebookLM Introduction: Welcome to this class on Notebook alum. In this class, you will learn how Notebook alum works as an AI powered research and learning assistant that operates only on your sources. That means every insight, every summary, and explanation comes directly from the material you provide. You will begin by understanding what notebook M actually is. We are not using it as a chatbot, but we are using it as a workflow tool, which is built around the idea of a notebook, a place where your documents, links, and notes come together into a single structured source library. From there, you will explore how to add and manage sources. We will see the types of formats that Notebook lem supports, how it connects with tools like Google Drive, and how web links and videos can be included as part of your research base. Next, we will focus on how to interact with your data. This includes using the chat interface to ask questions, generate summaries, and verify information using citation and save structured notes as you work. We will then move to the studio features. We will learn how Notebook alum can create audio overviews, explainer videos, and interactive mind maps to help you understand complex topic more clearly. After that, we will explore advanced tools such as study guides, quizzes, flashcards, and strategy and planning outputs that support learning, teaching, and professional work. Finally, we will look at customization and pro features. This includes language options, customs chat styles, sharing notebook publicly, understanding engagement and analytics. By the end of this class, you will have a clear understanding of how to use Notebook M to organize information, learn faster, and work more confidently with your own data. So let's get started. 2. The SOURCE LIBRARY NotebookLM : We did the introduction. We understood that it's an AI powered research assistant. It's a workflow tool, and it uses the concept of notebook. The source library, we have supported formats like PDF text, Markdown, Google Drive, web Links, and YouTube. We have the concept of Discover feature. What is Discover feature? You will see that whenever I'm working on the mindmap, it takes me back to the chart, analyzes it, and then starts explaining. So it's a vital component which is used for doing it, right? So let's go back. And we have source limits. The source limit is very simple. It is 50 sources for free users and 300 sources per notebook for a pro user. I'm a pro user. 50 sources are also more than enough. So this encourages you to keep it intentionally selective about the material you want to include, keeping your notebook focused and manageable. A well built source library is the foundation for effective work in Notebook alum. Relevant sources leads to clear answer, better summaries, and more reliable insights. In the next lesson, we will look at how to interact with this data using the chat interface, summaries, citations, and save notes. Let's continue. 3. INTERACTING WITH DATA: Interacting with data. In this lesson, we will look at how you actually work with the information inside the notebook m. We have chat interface, automated summaries, citation and verification, and saved notes. So let's dive into each one of them in detail. Once your sources are added, interaction happens through the chat interface. This is where you ask questions, explore ideas, and navigate through your material. The chat responds based only on the sources in your notebook. Keeping your work grounded and traceable. Notebook alum can also generate automated summaries. These summaries help you quickly understand long and complex documents without losing original context. These are especially useful when you are reviewing large amounts of material, revisiting a topic after some time. Another key feature is citation and verification. When Notebook M provides an answer, it shows where that information comes from. This allows you to check original source, verify the accuracy, and build confidence in your understanding. As you work, you can create and store saved notes. These notes help capture insights, it points, and conclusions that matter to you. Over the time, they form a structured record of your learning and research process. Interacting with data in Notebook alum is not just about getting answers. It is about asking better questions, verifying information, and building the knowledge step by step. In the next lesson, you will explore the studio features, including audio overviews, explainer videos, visual tools that help transform information into deeper understanding. 4. NotebookLM : THE STUDIO : Audio is where your source material can be transformed into audio and visual learning formats. This allows you to engage with information beyond text, making complex topic easier to understand and revisit. Let's begin with the audio overview. Audio overview converts your source material into AI generated podcast style format. This is useful when you want to listen to the summaries instead of reading, such as during revision or background learning. Audio overview also includes language options, allowing you to generate content in different languages based on your preferences and audio. In addition, there is also an interactive mode. This allows you to engage with audio output more actively helping you explore the ideas step by step rather than passively listening. Let's look at the explainer video. Explainer videos, turn your source based on content into visual explanation. These videos uses different visual styles to present information in a structured and approachable way, especially for complex and dense topics. This is important to be aware that studio feature operates within daily usage limits. These limits encourage thoughtful use and helps manage. How often do you want to use audio and video content to be generated. Overall, the studio helps transform your source material into formats that support listening, visual learning, deeper understanding. In the next lesson, we will explore advanced tools like interactive mind maps, study guides, quizzes, and flashcards. Let's continue. 5. ADVANCED TOOLS in NotebookLM : In this lesson, we will explore the advanced tools available in Notebook alum. These tools help you move beyond basic interaction and turn your source material into structured outputs that support learning, planning, and decision making. Let's start with interactive mind maps. Interactive mind maps visually organize key ideas from your sources. They help you see relationship between concepts, making it easier to understand complex topics, navigate large volume of information. Next, we have strategy and marketing plans. Notebook M can have structured planning outputs based on your source material. These plans organize ideas, insights, and supporting information into clear framework. That can be used for strategic thinking or communication. Another important set of tools is study guides and quizzes. Study guides helps summarize, organize key concepts from your sources. Quizzes allow you to test your understanding and reinforce the learning, making them useful for both self study and teaching. Finally, we have flashcards. Flashcards breaks information into small focused pieces. They are useful for memorizing, quick revision, and reinforcing important terms or ideas over time. The advanced tools in Notebook L M helps transform information into practical output. They support deeper learning, better planning, and more structured thinking. In the next lesson, we will explore setting and pro features, including customization options, sharing and engagement insights. Let's continue. 6. SETTINGS & PRO FEATURES of NotebookLM : In this lesson, we will explore the settings and pro feature in Noebook M. These options allow you to customize how Nodebook M responds, how outputs are shared, how engagements are tracked, especially when using tools in professional and collaborative context. Let's begin with custom language output. Notebook m allows you to control the language used in their response. It is useful when working with multilingual context, teaching diverse audience and preparing material for different regions. Next, we have custom chat styles. Custom chat styles help you shape your responses for written communication. You can adjust the tone and the structure of the output to better suit the learning, research or professional communication. Another important feature is public notebook sharing. This allows you to share the selected notebook with others. Shared notebooks make it easier to collaborate, review the content together, and provide access to structured information without sending individual files. Finally, we have analytics and engagements. These insights help you understand how content is being used. Because you have publicly shared your notebook, they can show you the level of interaction and the engagement, which is especially useful in educational and professional settings. Together, these settings and the pro features helps adapt notebook M to your specific needs. They support flexibility, collaboration, and better visibility and how information is accessed and used. With this, we have completed the walk through of Notebook M core capabilities. You are now ready to apply these features in your own learning, research or professional projects. 7. Practical use case : Lean Notebooklm : Hi, we can see that we have created. We are logged in to notebook, lmdtggle.com. This website is very important. I am a pro member, but notebook LM works perfectly fine even in the free version. So you can decide and go for a pro plan if you find it useful. So let's get started. There are some featured notebooks. I have my notebooks, I have featured notebooks. So these are some ready notebooks with 70 sources, 17 sources, 26 sources, and so on. We have earning reports for top 50 corporations from 276 sources, William Shakespeare, the complete play with 45 sources. So you can go learn about it, but let me start explaining with a blank notebook. So I'm going to click on Create a New Notebook. There are three important parts we need to understand for the notebook. The first thing that cabs up is to create an audio overview from your YouTube videos, from your notes from different sources. You can upload files, documents, website links, access to Google Drive, and copied text. What I'm going to do is I have a video which talks about TIP Woods, a type of waste, and it is a hit the language. I'm just copying this link coming back. And here in my drop your files in the website, I'm pasting this link. And I click on Insert. As soon as I do that, it is telling untitled notebook with one source because it has taken this video. I want to understand this, so I'm going to say Lean Tim Woods. Right? Whatever name I give, it becomes accessible over there. I am free to do some deep research, past research and deep research to get some sources from the web. I don't want to search the web. Currently, first version, I'm going to show you with the links that I already have. There is a link on how Tim Woods in the eight Waste and an drives efficiency in business process. I'm taking this link as well and going to add it over here. I'm going to click on AD sources. Click over here, past the link. Upload multiple sources by giving space. So I can add multiple URLs separated with a space or a new line. Only the visible text on the website will be imported at this time. Paid articles are not supported. Only the text transcript in the YouTube will be imported at this time, only public YouTube videos are supported. Recently update videos may not be available to implode. If upload fails, there are some common reasons and we can click over here to learn more. So I have now taken two more website links and clicked on Insert. As soon as I did this, you will see that my notebook very clearly says that I have three sources of information. I'm not making use of any research element over here. I know what are the three websites I want to use. 8. Lean Notebooklm 2 : Practical use case: I know what are the three websites I want to use. You can clearly see the Tim Woods has three sources from where it is understanding. It has generated a quick summary, and now it is asking me to generate the question. So the middle section is the chat window. The left is the source window. The right is the studio, which is very creative and very useful for us. So let me just enlarge this. In the studio, it supports language like Hindi, Bangla, Gujarati, Tamil, Telugu, Malayalam, Mati, and so on. I have important things which you need to understand quickly. We have an audio overview. This will generate an AI podcast based on the source. I don't have to use all the sources at once. I can pick up any one source, go here, click on the pen sign, and it is giving me a customized audio overview. There are different formats like Deep Dive. This is like a conversation between two host who is unpacking and connecting the topic from our source only. This reduces the hallucination. There is brief, do I want to have a brief understanding from the 30 minutes video, I can click on Brief. Critic. Sometimes you want to understand the concept with a constructive feedback. This will help us understand the material more in depth. Then I'm going to use critic. If I want thoughtful debate between two users or the two host, showing different perspectives, I'm going to click on Debate. So for now, I'm leaving it as Deep Dive. Let's scroll down. I have languages to choose from. I can use Dutch, English, and Indonesian. There are multiple languages it supports. It even supports Hindi, Marathi, and Indian languages as well. I'm leaving it as in English. The length can be short if you want it for seven to 8 minutes, a default length or a long conversation of 20, 30 minutes. So for now, I'm leaving it default. I haven't given any prompt because I want it to understand from the one voice and generate the audio. As soon as I click that, you can see there's a line that's going on, and it is telling me generating the audio overview. And this is coming only from this website. I can generate a separate audio overview by clicking on the next source and then clicking over here. I can also specify I Nail the audio in Indian English. And I can also click on Long and say Generate. So I'm converting this Hindi YouTube video into an English podcast. Currently, there are two audios that are getting generated. 9. Lean Notebooklm 3 : Practical use case: I have video overview. If I click on the Pen sign, it is telling me how can I customize my video overview? Do I want it as an explainer video or do I want it as a brief graph core ideas from the source. There are multiple ways. You can use custom classic, whiteboard, and you also have papercraft. So go ahead, try out different options. So for first time, I'm going to take let me start by taking a papercraft. And I'm going to click on Generate. So you will see two audios and a video has gone into generation. Usually this generation takes approximately 10 minutes or so to get generated. So just have patience. Don't stop any of the activities that's going on because it has to think, understand your source, and then create a content. While that is getting generated, let's understand how I can create a mindmap. So I'm just clicking on MinMap. It starts generating the mindmap only from the YouTube video. If I need a separate mind map from this website, I can click on that and then generate the mind map. So you can see Tim Woods eight pillows of lean eliminating waste. This has come from my YouTube source, and this has come from my website. Let's look at each of them. So when I pull this up, it says eight types of waste. When I click on it, it says, transportation, inventory, motion, weighting, overproduction, over processing, defect, and skill set waste. Let's go into each one of it. Under transportation, what is the definition? What is the causes, and what is the solution? Transportation waste definition says unnecessary movement of material involving manpower and vehicle. The cause for this is that there is a reverse flow, zigzag process layout, multi step shop floor, lack of material handling equipment. The solution for this is to plan the short route, process the sequence alignment, vendor co location, and improve tracking density. Now let's go to inventory waste. Again, what are the types of inventory waste? What is the drawback and the concept? So inventory can be raw material inventory, work in progress, and finish codes. The drawback is it blocks your capital, occupies the space, and risk for deterioration. The concept is just in time and avoid bulk purchasing. Now, if I want to understand just in time in more detail, I click on this and it takes me back to the chat window. Here, you will see that it automatically drafts a prompt for us saying discuss what sources say just in time in the larger context of this concept. And when you read this properly, let me just zoom in Here's how jet in the larger concept framework can be explained. So it says the primary role of this is in this way, reducing waiting, minimizing inventory, the concept of pull system and demand, Tota production system. And it is also giving me the citation from where it has pulled this information. So it is not bluffing in the air Carban uses inventory control and that it read at this source. So when I click on that source guide, it takes me exactly to the place where these symptoms points to the area of overproduction, defect, excess transportation that happens to address. Implementing lm, once and so on. And it says Kison events advance continuous improvement. So it is giving you answers only from here, tools like PDCA and so on, right? So we created a mind map. We had a question. I took us back to the chat window. When we had a question to the authenticity of the data, it took us back to the source from where we caught it. So isn't this helpful? You're not making any mistake. So going back, let's create an info graphics. You can either English, I need a landscape view, concise, standard or detail, and we can give currently, I'm not giving any prompt, but you can give a customized prompt over here, which can focus on what exactly do you need. I'll leave it for Notebook M to decide. So while we are waiting the Tim woods, the other mind map is ready. Eight Was here in that source, it says unnecessary movement, inefficient tools, what is excess stock up. We can see that the level of detail is different. Implementation tool is value stream mapping, Gemba walk, fives, Kanba and Pokaoki standard work. Industry examples in automotive healthcare and insurance, reduce the processing claim by 30%, we decrease the patients stay by 22%, reduce the operating cost by 8 million. So benefit of reduction, improved productivity, quality, cost saving, and so on. How did it reduce? If I have a doubt, where exactly did it do this? I click over here. It takes me back to this chat window, gets me the information that can help me understand this better. It is also telling from which source did it take this statement, right? So this allows us not getting lost. 10. Lean Notebooklm 4 : Practical use case: Now we can see that the deep dive for Tim Woods is ready. There is an interaction mode over here, and then I have a play button. So let me play this. You know that feeling, right? You're sitting in a meeting and you're just thinking, This definitely could have been an email. Oh, I know that one. Or waiting three weeks for a simple signature. Exactly. It's that sheer soul crushing drag of inefficiency. The time we waste on things that just don't add value, it's exhausting. It is exhausting, and there's a name for it. In lean thinking, it's called Muda. It's a Japanese term from the Toyota production system. And it means waste, right? Pretty much. Mm hm. But more specifically, it's any I can click on the interaction mode. This is available only for the pro user. I can interrupt the use speaker at any point of time to get my doubts clarified. Let it just get loaded and I will show you how I'm interacting with the AI host in getting answers to my questions because the purpose is to understand. So let me play the audio again. You know that feeling, you're sitting in a meeting and you're just thinking, this You know that feeling, right? You're sitting in a meeting, and you're just thinking, This this definitely could have been Oh, wait. Soone wants to join. Hey, go for it. Can we directly get to the topic of Tim Woods, please? I want to understand more from the overproduction waste in a service industry. You know that feeling, right? You'reitting in a meeting and you're just thinking, This this definitely could have been an email. Oh, I know that one. Or waiting three weeks for a simple signature? Exactly. It's that sheer soul crushing drag of inefficiency, the time we waste on things that just don't add value. It's exhausting. It is exhausting. And there's a name for it in lean thinking. It's called Muda. It's a Japanese term from the Toyota production system. And it means waste, right? Pretty much. But more specifically, it's anything anything at all that the customer isn't actually willing to pay for, whether that customer is external or, you know, the person in the next department. And that definition is so important. That's when we need to hold on to today, because we're doing a dieta dive into the ultimate framework for spotting that waste. Right. Our source material lays out this incredible map. Let me do it one more time. Okay, let's unpack this. We are diving deep today, not into, you know, financial markets or geopolitical history, but into something far more fundamental. I think it's fundamental to success in any field, really, efficiency or more precisely the detection and elimination of inefficiency. It's a foundational lesson, you know, for anyone who manages a process, a team, or even just their own time. And we are using a fantastic source today, a really deep look into the principles of lean manufacturing and that famous concept of waste stir the Oh, hey, our listener wants to join in. What's up? I want to understand how is this overproduction waste applicable in a service industry? I'm into training and teaching field. Can you please guide me? 11. Lean Notebooklm 5: Practical use case: How my infographics has come up. And we see how beautifully it has created infographics in a matter of few seconds, a few minutes, right? So great. So I can use infographics. I can use flashcards for understanding. So again, let me show you in flashcards, I have number of cards as fewer, standard or more. So I'm keeping it as standard. Level of difficulty, easy, medium or hard. I'm keeping it as medium, and I'm going to say, Okay, the current source that is selected is only this website, so it is going to start creating flashcards for me. So I created mind maps. I created audio from two different sources. I created infographics. I have an explainer video. Hey, everyone, and welcome. Today, we are going on a hunt. We're tracking down the eight hidden enemies of efficiency. These invisible forces that secretly drain our productivity, pump up our costs and just look back and wonder, What did I actually get done? Well, what if the problem isn't how hard you're working, but a set of invisible enemies actively working against you? In the world of lean manufacturing, they actually have a name for these enemies, Muda. It's the Japanese word for waste, and it means absolutely any activity that eats up resources, your time, your money, materials, energy, but adds zero, and I mean zero value from the customer's point of view. Our mission to find it and to get rid of it. So, how are we going to track these guys down? Well, lucky for us, we've got a field guide, a kind of most wanted list. It's the acronym Tim Woods. And each letter stands for one of the eight prime suspects we're looking for. So let's need them. All right, our first two enemies are basically cousins. You almost always find them hanging out together. They're both all about necessary movement, but there's one really important difference between them and the difference is actually pretty simple, but it's critical. Transportation is all about the unnecessary movement of things, parts, products, materials. Motion, on the other hand, is the unnecessary movement of people. You employees walking around, bending over, reaching for things. Very beautifully, it has created an audio video for my class. I can read it, understand it, so that I can appear for my exam with more efficiency. Isn't this beautiful? So please try it out on any topic that you like. I have created flashcards. Let's see the flashcards. So what's the primary focus of lean in a manufacturing methodology? I can see the answer, maximize value, minimize waste. What is the core principle of lean manufacturing? To only use the necessary resources and make the product deliver. What is Tim words? Yes. It's an acronym to recall eight types of waste. What does the T stance? It's transportation. What does the I stand? Inventory. If I go ahead and say explain this answer, it will take me back to the chat window and then it will start explaining me. I'm reviewing the flashcards based on the source material. Can you explain what does inventory mean? You can see that it has given a beautiful answer. So you can go ahead, read it to understand it better. So the benefit of going through the studio is that I can go ahead and create infographics slide deck. I want to create a slide deck. Let me just go ahead and create one. I'm not changed any of the settings. The default is detail deck, presenter deck. Detail will have a lot of information, deck will have less. So let me try to create one short or default English as a language and generate. Now we will see that there are two types of slide decks are getting generated. One is a detailed deck, one is a presenter deck. Once it is ready, we'll be able to see it. We can also generate ques questions, standard, medium, and The quiz questions are also very beautiful when you are doing practice, understanding how we have to understand the content more in retail. The benefit of using a Notebook M is that it will only listen to the source that you have given. Currently, I have imported three sources, but I'm generating the quiz based on only one source. Can I do it based on all the three sources? The answer is yes. The only thing is we don't want the notebook M to get confused. And then I have analytics to understand once I share my content, how it has created an engagement. I can go ahead and create the share option, and I also have settings to understand the output language, the licenses, and so on. So my quiz is ready. Let's go ahead and understand the quiz. So in the assembly line, worker has to work on a cabinet. So what type of waste unnecessary moment represent? So it's unnecessary moment, I'm going to let me just see what type of he walks to a distance of the cabinet. So it is motion waste. That's right. The manufacturer decides 10,000 units of product in the current customer orders only 7,000, so it is definitely overproduction. Next time, let me pick up a wrong answer. If I take a wrong answer, it is going to tell me not quite while the ways define TPS and the acronym itself is remembering, not to outline the entire system. And it highlights the correct answer. The objective was not to identify. I want to tell you that when you are learning it, you can learn it well. And if you have a doubt, you click on Explain and it takes you back to the chat window where you can start understanding. Right? So this is very helpful. The studio features, I would suggest that you try out all of it. If you're preparing a report, you can generate reports. The slide deck is getting generated. We have created audio, video infographics, and so on. I can create new infographics based on all the sources. There's no restriction on the amount of infographics that you can create. The only thing that you have is that it is going to take some time to generate the content because it has to read, understand, and then create. At this point of time, I have not given specific prompts, and hence, I'm allowing it to use its own creativity. A better output will come when I give the specific prompt over here, and how do I take help of it? I can take help from Chat GPT to give specific prompts over here. I hope you enjoyed learning about Notebook m as much as I enjoy teaching you. Thank you so much, and I will see you in the next class. 12. Recap NotebookLM: Let's take a moment to recap what you have learned. Notebook M is an AI powered research assistant that works strictly with sources you provide. Instead of acting like a general chat board, it functions as a notebook based workflow tool, helping you organize, explore and understand information in a focused way. Second is Source Library. You have learned how source library form the foundation of everything in notebook alum. By adding relevant documents, links, and videos, you create reliable knowledge base. The quality of your source directly affects the quality and the clarity of the results it gets. Interacting with data. We explore how to interact with data using the chat interface. We saw how Notebook M generates summaries, create citation for verification, and allows you to save notes as you work. This helps you to move from reading information to actively building understanding. The studio introduced new ways to learn from your sources. Audio overview lets you listen the content in a podcast style format, while explainer videos turn complex idea into clear visuals. These tools support different learning styles and make revision easier. You also learned about advanced tools such as interactive mind maps, study guides, quizzes, flashcards, and planning outputs. These tools help transform information into structured learning, revision material, and practical plans. Finally, we covered about settings and pro features that allow you to customize language, adjust the chat style, share the notebook publicly and understand the engagement. These features make Notebook M flexible for both personal and professional use. Now that you have seen how Notebook M works, the next step is to apply it on your own projects. Start with a clear new notebook, add focus sources, ask thoughtful questions. Thank you for taking this class and happy earning. 13. Thank you for choosing NotebookLM Class: With that, we have reached to the end of this class. I just want to take a moment to say, thank you. Thank you for being my students. You didn't just learn how to use Notebook LM. You learned how to think with AI. You learned how to think differently about AI. You explored how Notebook M works with your own documents. You practice summarizing complex material. You learned how to ask better questions, create your slides, audio narrations, and video narrations. And most importantly, you discovered how AI can support your understanding, not replace it. That shift is powerful because most AI tools are used for speed, but you have learned how to use AI for clarity instead of feeling overwhelmed by the long reports, research papers, policies, and study notes, you now have a structured way to break down complexity, extract key ideas, and connect insights, create your own quiz and flashcards, and that capability will continue to serve you, whether you are a student, a researcher, a professional or a trainer. Let me share a bit about who am I beyond this class. I'm Temple Sagi, instructional designer, AI capability builder, corporate trainer, founder of Avisa Learning App. My work focuses on helping professionals and organizations use AI thoughtfully and practically. I design structured learning experiences around AI productivity, digital transformation, continuous improvement and operational excellence, always with a focus on real world implementation. My goal is simple to help people move from information overload to structured understanding. From tool usage to capability building. This notebook alm class is part of that larger mission, helping you use AI, not just generate answers, but to build insights. If you found this class valuable, I truly appreciate if you can leave a review that can help other learners discover practical AI education. And I would love to stay connected with you. You can connect with me on LinkedIn, where I regularly share insights on AI productivity, structured thinking, learning systems, digital capability, and leadership. The QR code is displayed on the screen. You can also join my Whatsapp channel by scanning the QR code on the screen for a short accesable micro lessons, practical AI workflows, and some in person classes and virtual classes. If you want deeper and structured learning, explore Aviza earning app where I share additional courses and frameworks, templates, and guided learning path, which you can learn at your own pace. Your learning journey doesn't stop here. Keep uploading your projects. Keep questioning in the discussion section below. Summarize your learning in the comment section below. Keep thinking critically. AI is most powerful when it strengthens your thinking, not replace it. Thank you once again for learning with me. I will see you in the next class.