Working with Your Data: Using Google NotebookLM & Gemini GEMs Course Outline

Special Note to New Hampshire Residents
This course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.

Overview
This class is designed to help you effectively utilize Google’s AI tools—NotebookLM and Gemini GEMs—to manage, analyze, and generate insights from your data. You will learn how to leverage these platforms to create personalized AI-driven experiences, enhancing productivity in data processing, analysis, and visualization.

Through this course, you’ll explore NotebookLM’s ability to provide audio overviews of data and create conversational summaries, as well as the functionality of Gemini's GEMs, which allows for the creation of custom AI experts tailored to your specific needs. By the end of this class, you’ll be equipped with the skills to transform your data into actionable insights using these advanced AI technologies.

Prerequisites
Participants should have a basic understanding of data concepts and familiarity with AI technologies. Prior experience with data tools is helpful but not required.

Course Outline

BACKGROUND

Introduction to Google NotebookLM and Gemini GEMs
Overview of NotebookLM’s capabilities for data summarization
Understanding how Gemini GEMs function as custom AI assistants
Key benefits of integrating these tools into data analysis workflows

Setting Up and Navigating NotebookLM
How to access NotebookLM and create data projects
Using audio overviews to summarize information effectively
Organizing data for optimal AI-driven insights

UTILIZING GEMINI GEMs FOR DATA ANALYSIS

Creating and Customizing GEMs
How to create personalized AI experts called GEMs
Customizing GEMs to perform specific tasks or provide expert advice
Practical examples of GEMs for various data analysis applications

Advanced Techniques with Gemini’s Imagen 3
Generating high-quality images from data prompts using Imagen 3
Exploring different image styles and visual representations for data
Integrating visual outputs into reports and presentations

INTEGRATING AI TOOLS IN DATA WORKFLOWS

Collaborative Data Analysis with NotebookLM
Sharing data insights with team members using conversational summaries
Best practices for collaborative data exploration with AI
Real-world applications of NotebookLM in business environments

Enhancing Data Interpretation with Custom GEMs
Leveraging GEMs for advanced data interpretation and trend analysis
How to build a series of GEMs for multi-step data projects
Case studies of companies successfully using GEMs for decision-making

REAL-WORLD APPLICATIONS AND FUTURE TRENDS

Using AI to Drive Data-Driven Decisions
Real-world examples of NotebookLM and GEMs in strategic decision-making
How AI tools can uncover hidden patterns in data
Best practices for continuously improving data analysis with AI

Scaling AI Solutions in Your Organization
Strategies for expanding AI usage across teams and departments
Creating a long-term plan for AI adoption using Google’s latest tools
Future trends in AI technology and its impact on data management
View outline in Word

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