Google Agentspace and NotebookLM Essentials (GANLME)

Part 1 - Agentspace

Module 1 - The Value of Agentspace

• The problem of information discovery in enterprises
• How Agentspace extracts insights from enterprise data
• Agentspace 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 Agentspace Works

• Retrieval Augmented Generation (RAG)
• Vector Search and embeddings
• Semantic relationships in embeddings
• Agentspace's embedding process
• Summary of grounded responses

Module 3 - Build a Data Store and App

• Agentspace apps on Vertex AI
• Agentspace 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

• Agentspace homepage preview
• Customizing the user interface
• Assistant behavior conguration
• 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 Agentspace Quiz

Module 7 - Practice Lab: Deploy and Query Google Agentspace

Part 2 - 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 dierent 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