Google Agentspace and NotebookLM Enterprise Essentials
Contact us to book this course
Generative AI
On-Site, Virtual
1/2 day
This course provides an introduction to Google Agentspace and NotebookLM Enterprise, AI-powered tools designed to enhance information discovery, knowledge management, and productivity within organizations. Participants will learn how to leverage Agentspace 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.
Course objectives
-
Describe the value of Google Agentspace and NotebookLM Enterprise to an organization.
-
Use Agentspace to find documents, get answers to questions, brainstorm, and perform actions.
-
Explain NotebookLM's main features and its differences from NotebookLM Enterprise.
-
Create an Agentspace app and configure an identity provider.
-
Grant access to Workspace data stores and discuss use cases for NotebookLM Enterprise.
Audience
Business decision-makers, Software engineers, Programmers, Application developers
Prerequisites
Google Cloud basics, familiarity with machine learning basics, and baseline experience with Applied AI is recommended.
Course outline
- 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
- Retrieval Augmented Generation (RAG)
- Vector Search and embeddings
- Semantic relationships in embeddings
- Agentspace's embedding process
- Summary of grounded responses
- 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
- pp features for search and assistance
- Agentspace homepage preview
- Customizing the user interface
- Assistant behavior configuration
- Homepage access with integrations
- Usage insights with Analytics
- Actions to connect to external services
- First-party and third-party action types
- OAuth consent screen and client setup
- Knowledge check on Google Agentspace
- 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
- 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
- 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
- NotebookLM for various functions: Sales, Training, Teaching, Customer Support, Marketing, Development
- Examples of notebooks for specific use cases
- Streamlining onboarding and team collaboration
- Creating pre-defined outputs
- Customizing chats
- Audio Overviews for learning
- Checklist and considerations: Purpose, collaboration, sources
- Upload process for different source types
- Re-syncing Google Drive files
- Handling websites and text-based files
- Managing YouTube videos and audio files
- Tips for getting started: Connecting materials, customizing audio, summarizing chats
- Knowledge check on NotebookLM Enterprise
