Gemini Enterprise and NotebookLM Essentials

Gemini Enterprise and NotebookLM EssentialsGANLMEGOGoogleGO-GANLME1.0<ul> <li>Describe the value of Gemini Enterprise and NotebookLM Enterprise to an organization.</li><li>Use Gemini Enterprise to find documents, get answers to questions, brainstorm, and perform actions.</li><li>Explain NotebookLM's main features and its differences from NotebookLM Enterprise.</li><li>Create a Gemini Enterprise app and configure an identity provider.</li><li>Grant access to Workspace data stores and discuss use cases for NotebookLM Enterprise</li></ul><ul> <li>Google Cloud basics, familiarity with machine learning basics, and baseline experience with Applied AI is recommended.</li></ul><ul> <li>Business decision-makers</li><li>Software engineers</li><li>Programmers</li><li>Application developers</li></ul><h4>Part 1 - The Value of Gemini Enterprise</h4> Module 1 - The Value of Agentspace <ul> <li>The problem of information discovery in enterprises</li><li>How Gemini Enterprise extracts insights from enterprise data</li><li>Gemini Enterprise as a homepage for daily work</li><li>Searching for documents and content</li><li>Generative AI summaries</li><li>Question answering</li><li>AI assistance for guidance</li><li>Actions in connected systems</li><li>Announcements</li><li>Custom agents</li></ul>Module 2 - How Gemini Enterprise Works <ul> <li>Retrieval Augmented Generation (RAG)</li><li>Vector Search and embeddings</li><li>Semantic relationships in embeddings</li><li>Gemini Enterprise's embedding process</li><li>Summary of grounded responses</li></ul>Module 3 - Build a Data Store and App <ul> <li>Gemini Enterprise apps on Vertex AI</li><li>Gemini Enterprise as a no-code solution</li><li>Data stores and data source access control</li><li>Data store types, formats, and sources</li><li>Identity provider integration</li><li>App features for search and assistance</li></ul>Module 4 - Preview and Configure Your App <ul> <li>Gemini Enterprise homepage preview</li><li>Customizing the user interface</li><li>Assistant behavior configuration</li><li>Homepage access with integrations</li><li>Usage insights with Analytics</li></ul>Module 5 - Build a Data Store and App <ul> <li>Actions to connect to external services</li><li>First-party and third-party action types</li><li>OAuth consent screen and client setup</li></ul>Module 6 - Introduction to Google Gemini Enterprise Quiz <h4>Part 2 - Introduction to NotebookLM Enterprise</h4> Module 1 - The Value of NotebookLM <ul> <li>The challenge of going from information to insight</li><li>NotebookLM as a virtual research assistant</li><li>How NotebookLM enhances research: summarization, question answering, idea generation</li><li>Use case examples</li></ul>Module 2 - NotebookLM Features Walkthrough <ul> <li>Main screen overview: Sources, Chat, Studio</li><li>Adding and selecting sources</li><li>Source summary and key topics</li><li>Chat interactions and citations</li><li>Saving responses as notes</li><li>Creating and managing notes</li><li>Studio features: Audio Overview, Briefing doc, FAQ, Timeline, Deep Dive conversation</li></ul>Module 3 - NotebookLM Enterprise Features <ul> <li>NotebookLM editions: NotebookLM, NotebookLM Enterprise, NotebookLM Pro</li><li>Enterprise-grade security and privacy</li><li>Comparison of usage limits</li><li>Advanced chat settings: Conversation style and response length</li><li>Notebook analytics</li><li>Sharing a "Chat only" notebook</li></ul>Module 4 - Use Cases for Your Business <ul> <li>NotebookLM for various functions: Sales, Training, Teaching, Customer Support, Marketing, Development</li><li>Examples of notebooks for specic use cases</li><li>Streamlining onboarding and team collaboration</li><li>Creating pre-defined outputs</li><li>Customizing chats</li><li>Audio Overviews for learning</li></ul>Module 5 - Getting Started with NotebookLM Enterprise <ul> <li>Checklist and considerations: Purpose, collaboration, sources</li><li>Upload process for diferent source types</li><li>Re-syncing Google Drive les</li><li>Handling websites and text-based les</li><li>Managing YouTube videos and audio les</li><li>Tips for getting started: Connecting materials, customizing audio, summarizing chats</li></ul> Module 6 - Introduction to NotebookLM Enterprise Quiz <ul> <li>Knowledge Check on NotebookLM Enterprise</li></ul>- Describe the value of Gemini Enterprise and NotebookLM Enterprise to an organization. - Use Gemini Enterprise to find documents, get answers to questions, brainstorm, and perform actions. - Explain NotebookLM's main features and its differences from NotebookLM Enterprise. - Create a Gemini Enterprise app and configure an identity provider. - Grant access to Workspace data stores and discuss use cases for NotebookLM Enterprise- Google Cloud basics, familiarity with machine learning basics, and baseline experience with Applied AI is recommended.- Business decision-makers - Software engineers - Programmers - Application developersPart 1 - The Value of Gemini Enterprise Module 1 - The Value of Agentspace - The problem of information discovery in enterprises - How Gemini Enterprise extracts insights from enterprise data - Gemini Enterprise as a homepage for daily work - Searching for documents and content - Generative AI summaries - Question answering - AI assistance for guidance - Actions in connected systems - Announcements - Custom agents Module 2 - How Gemini Enterprise Works - Retrieval Augmented Generation (RAG) - Vector Search and embeddings - Semantic relationships in embeddings - Gemini Enterprise's embedding process - Summary of grounded responses Module 3 - Build a Data Store and App - Gemini Enterprise apps on Vertex AI - Gemini Enterprise as a no-code solution - Data stores and data source access control - Data store types, formats, and sources - Identity provider integration - App features for search and assistance Module 4 - Preview and Configure Your App - Gemini Enterprise homepage preview - Customizing the user interface - Assistant behavior configuration - Homepage access with integrations - Usage insights with Analytics Module 5 - Build a Data Store and App - Actions to connect to external services - First-party and third-party action types - OAuth consent screen and client setup Module 6 - Introduction to Google Gemini Enterprise Quiz Part 2 - Introduction to NotebookLM Enterprise Module 1 - The Value of NotebookLM - The challenge of going from information to insight - NotebookLM as a virtual research assistant - How NotebookLM enhances research: summarization, question answering, idea generation - Use case examples Module 2 - NotebookLM Features Walkthrough - Main screen overview: Sources, Chat, Studio - Adding and selecting sources - Source summary and key topics - Chat interactions and citations - Saving responses as notes - Creating and managing notes - Studio features: Audio Overview, Briefing doc, FAQ, Timeline, Deep Dive conversation Module 3 - NotebookLM Enterprise Features - NotebookLM editions: NotebookLM, NotebookLM Enterprise, NotebookLM Pro - Enterprise-grade security and privacy - Comparison of usage limits - Advanced chat settings: Conversation style and response length - Notebook analytics - Sharing a "Chat only" notebook Module 4 - Use Cases for Your Business - NotebookLM for various functions: Sales, Training, Teaching, Customer Support, Marketing, Development - Examples of notebooks for specic use cases - Streamlining onboarding and team collaboration - Creating pre-defined outputs - Customizing chats - Audio Overviews for learning Module 5 - Getting Started with NotebookLM Enterprise - Checklist and considerations: Purpose, collaboration, sources - Upload process for diferent source types - Re-syncing Google Drive les - Handling websites and text-based les - Managing YouTube videos and audio les - Tips for getting started: Connecting materials, customizing audio, summarizing chats Module 6 - Introduction to NotebookLM Enterprise Quiz - Knowledge Check on NotebookLM Enterprise3 hours350.00485.00300.00350.00250.00350.00350.00350.00350.00350.00350.00350.00350.00