AI Essentials Course — Phase 4: Mastery and Application
Session 20: Your AI Toolkit — Capstone Project
Complete your AI journey with Google NotebookLM — the source-grounded AI that works only with your materials — and create your personal AI strategy for graduate school and beyond.
Learning Objectives
What You'll Learn
By the end of this session, you will be able to:
- Access Google NotebookLM and upload 3–5 of your own sources
- Use NotebookLM to generate a study guide, an FAQ, and an Audio Overview
- Understand how NotebookLM differs from other AI tools — it works only from your provided sources
- Write a personal AI strategy: which tools you'll use for which tasks going forward
Platform Access
Getting Started with Google NotebookLM
Follow these steps to access Google NotebookLM and get ready for today's lesson.
- Open your browser and go to https://notebooklm.google.com.
- Sign in with your Google account (the same one you use for Gemini).
- Click 'New Notebook' to create your first notebook. You can name it after your research topic.
- Click 'Add Sources' to upload your documents. NotebookLM accepts PDFs, Google Docs, text files, and pasted text. Upload 3–5 sources relevant to your research area.
- Wait for NotebookLM to process your sources — this usually takes a minute or two. Once processed, you'll see your sources listed on the left side of the screen.
- You're ready when your sources are loaded and you can see the chat interface on the right. NotebookLM will only use the sources you've uploaded — it won't draw from the general internet.
Free Account Required
All platforms used in this course offer free accounts with no credit card required. If you already have an account, simply sign in. The free tier gives you everything you need to complete this session.
Core Lesson
Today's Lesson
Read through this lesson carefully before starting the practice exercises below.
Welcome to Session 20 — your final session. You've come an extraordinary distance in this course. You started with your very first AI prompt and have progressed through persona prompts, chain-of-thought reasoning, multi-platform research workflows, document analysis, literature synthesis, and prompt template creation. Today, you'll meet one final tool that brings this entire course together in a unique way: Google NotebookLM.
NotebookLM is fundamentally different from every other tool you've used. ChatGPT, Claude, Gemini, and Perplexity all draw on large amounts of training data or live web searches. NotebookLM, by contrast, works exclusively from the sources you provide. When you upload articles, book chapters, or notes to a NotebookLM notebook, it becomes an AI that only knows what's in your materials. Every response it gives is grounded solely in your sources — and it tells you exactly which source each claim comes from.
For academic researchers, this is a revolutionary capability. When you ask NotebookLM 'What do my sources say about the challenges of online learning for older adults?', it answers from your actual uploaded articles — not from its general training data. This means you can trust that its responses are grounded in the specific research you've curated. It also means you can use it to help you work through your own body of sources for a literature review, preparing for a seminar, studying for a comprehensive exam, or reviewing your dissertation research.
One of NotebookLM's most remarkable features is its Audio Overview. When you click 'Generate Audio Overview,' NotebookLM creates a podcast-style conversation between two AI voices who discuss the key themes, arguments, and insights from your sources. This audio summary is surprisingly natural and engaging — many students find it an excellent way to review material during a walk, a drive, or any time when reading isn't possible. It transforms your research notes into an on-demand study companion.
As you conclude this course, I want to encourage you to think about what you've actually built over these twenty sessions: not just knowledge, but a set of practices. You know how to structure prompts, when to use which tool, how to verify AI output, how to maintain a productive extended conversation, how to build templates, and how to integrate AI into a genuine research workflow. These practices don't expire — they'll grow with you as the technology evolves.
Your final exercise today includes writing a personal AI strategy — a brief document describing which tools you plan to use for which tasks in your academic work. This strategy is both a summary of what you've learned and a commitment to how you'll continue using these skills. It's your plan for making AI a genuine, responsible, and effective part of your scholarly life.
Hands-On Practice
Practice Exercise
Follow these steps in Google NotebookLM. Take your time — there's no rush. Learning happens through doing.
- Go to NotebookLM and create a new notebook. Upload 3–5 sources related to your research area — PDFs, Google Docs, or pasted text.
- Once sources are loaded, ask NotebookLM: "Based on my sources, please generate a comprehensive study guide with the main concepts, key authors, and most important arguments covered in these materials."
- Ask: "Please generate a list of 10 frequently asked questions about this topic based on my sources, with brief answers drawn from the materials."
- Click the 'Generate Audio Overview' button (or equivalent in the interface). Listen to at least the first few minutes. What do you notice about how it summarizes your sources?
- Ask NotebookLM one specific question about your research and compare its response to what you'd expect from ChatGPT or Gemini. How does the source-grounded response differ?
- Now open a new document and write your Personal AI Strategy: list each AI tool you've learned, the specific tasks you plan to use it for, and one prompt technique you'll use most often with each tool. This is your graduation document.
Try These
Example Prompts to Try
Copy any of these prompts directly into Google NotebookLM and see what happens. Feel free to modify them to match your own academic interests.
Summary
Key Takeaways
- Google NotebookLM is uniquely source-grounded — it responds only from documents you upload, making its answers traceable and specific to your actual research materials.
- The Audio Overview feature transforms your uploaded sources into an engaging podcast-style summary — an excellent review tool for busy schedules.
- Over 20 sessions, you've built a complete AI toolkit: ChatGPT for brainstorming and persona prompts, Claude for writing feedback and extended dialogue, Gemini for summarization and images, Perplexity for cited research, Copilot for web-based reading, and NotebookLM for source-grounded analysis.
- Your personal AI strategy — knowing which tool to use when, and what prompt techniques to apply — is the real graduation gift from this course.
Capstone — Demonstrating All Prompt Skills Learned Across the Course
You've completed the AI Essentials course. You began by typing your first question and have progressed through twenty sessions of increasingly sophisticated AI skills. You now have a complete prompt toolkit: simple questions, structured prompts, persona prompts, summarization, verification, document analysis, synthesis, chain-of-thought reasoning, iterative refinement, template creation, multi-platform workflows, and source-grounded research. These skills are yours to use, develop, and build on for the rest of your academic journey. Congratulations!