{"course":{"productid":36147,"modality":1,"active":true,"language":"en","title":"Gemini Enterprise and NotebookLM Essentials","productcode":"GANLME","vendorcode":"GO","vendorname":"Google","fullproductcode":"GO-GANLME","courseware":{"has_ekit":false,"has_printkit":true,"language":""},"url":"https:\/\/portal.flane.ch\/course\/google-ganlme","objective":"<ul>\n<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&#039;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>","essentials":"<ul>\n<li>Google Cloud basics, familiarity with machine learning basics, and baseline experience with Applied AI is recommended.<\/li><\/ul>","audience":"<ul>\n<li>Business decision-makers<\/li><li>Software engineers<\/li><li>Programmers<\/li><li>Application developers<\/li><\/ul>","outline":"<h4>Part 1 - The Value of Gemini Enterprise<\/h4><p>\n<strong>Module 1 - The Value of Agentspace<\/strong>\n<\/p>\n<ul>\n<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><p><strong>Module 2 - How Gemini Enterprise Works<\/strong>\n<\/p>\n<ul>\n<li>Retrieval Augmented Generation (RAG)<\/li><li>Vector Search and embeddings<\/li><li>Semantic relationships in embeddings<\/li><li>Gemini Enterprise&#039;s embedding process<\/li><li>Summary of grounded responses<\/li><\/ul><p><strong>Module 3 - Build a Data Store and App<\/strong>\n<\/p>\n<ul>\n<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><p><strong>Module 4 - Preview and Configure Your App<\/strong>\n<\/p>\n<ul>\n<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><p><strong>Module 5 - Build a Data Store and App<\/strong>\n<\/p>\n<ul>\n<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><p><strong>Module 6 - Introduction to Google Gemini Enterprise Quiz<\/strong><\/p>\n<h4>Part 2 - Introduction to  NotebookLM Enterprise<\/h4><p>\n<strong>Module 1 - The Value of NotebookLM<\/strong>\n<\/p>\n<ul>\n<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><p><strong>Module 2 - NotebookLM Features Walkthrough<\/strong>\n<\/p>\n<ul>\n<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><p><strong>Module 3 - NotebookLM Enterprise Features<\/strong>\n<\/p>\n<ul>\n<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 &quot;Chat only&quot; notebook<\/li><\/ul><p><strong>Module 4 - Use Cases for Your Business<\/strong>\n<\/p>\n<ul>\n<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><p><strong>Module 5 - Getting Started with NotebookLM Enterprise<\/strong>\n<\/p>\n<ul>\n<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><p>\n<strong>Module 6 - Introduction to NotebookLM Enterprise Quiz<\/strong>\n<\/p>\n<ul>\n<li>Knowledge Check on NotebookLM Enterprise<\/li><\/ul>","summary":"<p>This course provides an introduction to Gemini Enterprise and NotebookLM Enterprise, AI-powered tools designed to enhance information discovery, knowledge management, and productivity within  organizations. Participants will learn how to leverage Gemini Enterprise to extract insights from enterprise data and build custom applications. The course also covers NotebookLM Enterprise, focusing on its features for analyzing and synthesizing information from various sources.<\/p>","objective_plain":"- Describe the value of Gemini Enterprise and NotebookLM Enterprise to an organization.\n- Use Gemini Enterprise to find documents, get answers to questions, brainstorm, and perform actions.\n- Explain NotebookLM's main features and its differences from NotebookLM Enterprise.\n- Create a Gemini Enterprise app and configure an identity provider.\n- Grant access to Workspace data stores and discuss use cases for NotebookLM Enterprise","essentials_plain":"- Google Cloud basics, familiarity with machine learning basics, and baseline experience with Applied AI is recommended.","audience_plain":"- Business decision-makers\n- Software engineers\n- Programmers\n- Application developers","outline_plain":"Part 1 - The Value of Gemini Enterprise\n\n\nModule 1 - The Value of Agentspace\n\n\n\n- The problem of information discovery in enterprises\n- How Gemini Enterprise extracts insights from enterprise data\n- Gemini Enterprise as a homepage for daily work\n- Searching for documents and content\n- Generative AI summaries\n- Question answering\n- AI assistance for guidance\n- Actions in connected systems\n- Announcements\n- Custom agents\nModule 2 - How Gemini Enterprise Works\n\n\n\n- Retrieval Augmented Generation (RAG)\n- Vector Search and embeddings\n- Semantic relationships in embeddings\n- Gemini Enterprise's embedding process\n- Summary of grounded responses\nModule 3 - Build a Data Store and App\n\n\n\n- Gemini Enterprise apps on Vertex AI\n- Gemini Enterprise as a no-code solution\n- Data stores and data source access control\n- Data store types, formats, and sources\n- Identity provider integration\n- App features for search and assistance\nModule 4 - Preview and Configure Your App\n\n\n\n- Gemini Enterprise homepage preview\n- Customizing the user interface\n- Assistant behavior configuration\n- Homepage access with integrations\n- Usage insights with Analytics\nModule 5 - Build a Data Store and App\n\n\n\n- Actions to connect to external services\n- First-party and third-party action types\n- OAuth consent screen and client setup\nModule 6 - Introduction to Google Gemini Enterprise Quiz\n\nPart 2 - Introduction to  NotebookLM Enterprise\n\n\nModule 1 - The Value of NotebookLM\n\n\n\n- The challenge of going from information to insight\n- NotebookLM as a virtual research assistant\n- How NotebookLM enhances research: summarization, question answering, idea generation\n- Use case examples\nModule 2 - NotebookLM Features Walkthrough\n\n\n\n- Main screen overview: Sources, Chat, Studio\n- Adding and selecting sources\n- Source summary and key topics\n- Chat interactions and citations\n- Saving responses as notes\n- Creating and managing notes\n- Studio features: Audio Overview, Briefing doc, FAQ, Timeline, Deep Dive conversation\nModule 3 - NotebookLM Enterprise Features\n\n\n\n- NotebookLM editions: NotebookLM, NotebookLM Enterprise, NotebookLM Pro\n- Enterprise-grade security and privacy\n- Comparison of usage limits\n- Advanced chat settings: Conversation style and response length\n- Notebook analytics\n- Sharing a \"Chat only\" notebook\nModule 4 - Use Cases for Your Business\n\n\n\n- NotebookLM for various functions: Sales, Training, Teaching, Customer Support, Marketing, Development\n- Examples of notebooks for specic use cases\n- Streamlining onboarding and team collaboration\n- Creating pre-defined outputs\n- Customizing chats\n- Audio Overviews for learning\nModule 5 - Getting Started with NotebookLM Enterprise\n\n\n\n- Checklist and considerations: Purpose, collaboration, sources\n- Upload process for diferent source types\n- Re-syncing Google Drive les\n- Handling websites and text-based les\n- Managing YouTube videos and audio les\n- Tips for getting started: Connecting materials, customizing audio, summarizing chats\n\nModule 6 - Introduction to NotebookLM Enterprise Quiz\n\n\n\n- Knowledge Check on NotebookLM Enterprise","summary_plain":"This course provides an introduction to Gemini Enterprise and NotebookLM Enterprise, AI-powered tools designed to enhance information discovery, knowledge management, and productivity within  organizations. Participants will learn how to leverage Gemini Enterprise to extract insights from enterprise data and build custom applications. The course also covers NotebookLM Enterprise, focusing on its features for analyzing and synthesizing information from various sources.","skill_level":"Intermediate","version":"1.0","duration":{"unit":"d","value":0,"formatted":"3 hours"},"pricelist":{"List Price":{"US":{"country":"US","currency":"USD","taxrate":null,"price":350},"CA":{"country":"CA","currency":"CAD","taxrate":null,"price":485},"SG":{"country":"SG","currency":"USD","taxrate":8,"price":300},"AU":{"country":"AU","currency":"USD","taxrate":10,"price":350},"IN":{"country":"IN","currency":"USD","taxrate":12.36,"price":250},"DE":{"country":"DE","currency":"EUR","taxrate":19,"price":350},"IL":{"country":"IL","currency":"EUR","taxrate":17,"price":350},"AT":{"country":"AT","currency":"EUR","taxrate":20,"price":350},"SE":{"country":"SE","currency":"EUR","taxrate":25,"price":350},"SI":{"country":"SI","currency":"EUR","taxrate":20,"price":350},"GB":{"country":"GB","currency":"GBP","taxrate":20,"price":350},"IT":{"country":"IT","currency":"EUR","taxrate":20,"price":350},"CH":{"country":"CH","currency":"CHF","taxrate":8.1,"price":350}}},"lastchanged":"2025-10-10T21:05:18+02:00","parenturl":"https:\/\/portal.flane.ch\/swisscom\/en\/json-courses","nexturl_course_schedule":"https:\/\/portal.flane.ch\/swisscom\/en\/json-course-schedule\/36147","source_lang":"en","source":"https:\/\/portal.flane.ch\/swisscom\/en\/json-course\/google-ganlme"}}