Google Agentspace and NotebookLM Essentials (GANLME) – Outline

Detailed Course Outline

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