When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Agentic Work with Gemini Enterprise and Gemini Notebook (formerly NotebookLM)
Move from chatting with Gemini to delegating multi-step work through Gemini Enterprise and Gemini Notebook. This agentic AI course teaches knowledge workers to direct Gemini Enterprise agents through...
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Duration
2 days
Course Code
AI-GCP-2001
Available Formats
Classroom
Overview
Course Description
Move from chatting with Gemini to delegating multi-step work through Gemini Enterprise and Gemini Notebook. This agentic AI course teaches knowledge workers to direct Gemini Enterprise agents through research, creation, and polished deliverables without writing code — using admin-configured connectors, pre-built agents like Deep Research and Gemini Notebook, Canvas, and Agent Designer’s chat pane and Flow canvas. Hands-on labs ground the skills in real work: an Audio Overview built from competitor transcripts, a leadership brief pulled from a OneDrive folder, a Canvas one-pager built on Deep Research, and a custom support-ticket agent published in Agent Designer. The course is designed for knowledge workers comfortable with Gemini Chat who want to delegate work without writing code.
- Note: On July 16, 2026, Google renamed NotebookLM to Gemini Notebook. The functionality remains the same, but users may see both names referenced during the transition period.
Skills Gained
By the end of this course, participants will be able to:
- Distinguish Gemini Enterprise agents and Gemini Notebook from Gemini Chat
- Enable the right admin-configured connectors, including Microsoft 365 sources, for a given prompt
- Produce research and content deliverables using Deep Research and Canvas
- Build and publish custom agents using Agent Designer’s chat pane, Flow canvas, Schedule tab, and Preview tab
- Monitor agent activity in the Inbox and resolve items flagged Needs your input
- Evaluate when a Gemini Enterprise agent or Gemini Notebook is and is not the right tool for a given task
Who Can Benefit
This course is designed for:
- Anyone interested in using Gemini Enterprise and Gemini Notebook for agentic knowledge work
Prerequisites
Participants should enter this course with:
- Familiarity using Gemini Chat or a similar AI chat assistant
Organizational Objectives
This course assists organizations to:
- Reduce turnaround on research and drafting by delegating multi-step tasks to Deep Research
- Build organization-wide fluency in Gemini Enterprise, Gemini Notebook, and Canvas in two days
- Cut duplicate work across Google and Microsoft 365 tools by grounding agent responses in connected Outlook, SharePoint, and Drive content
- Standardize repeatable work by reusing Agent Designer agents, shared Gemini Notebook notebooks, and Skills shortcuts across teams
Software
All attendees must have a modern web browser and an Internet connection.
Course Details
Course Details
Module 1 - Core Gemini Enterprise and Gemini Notebook Capabilities
By the end of this module, you will be able to distinguish Gemini Enterprise, Gemini Chat, and Gemini Notebook and choose the right one for a task. You will ground a prompt in connected data using @mention and the connectors icon directly from chat, save a repeatable prompt as a Skill, and build a Gemini Notebook notebook from uploaded files, Google Drive, websites, or pasted text to generate Audio Overviews and share findings.
- How Gemini Enterprise, Gemini Chat, and Gemini Notebook differ, and when to reach for each
- Grounding a prompt in connected data directly from chat using @mention and the connectors icon
- Skills as reusable @mention shortcuts for repetitive prompts such as applying brand guidelines
- Auto model selection, with manual override to Gemini 3.1 Pro or Gemini 3.5 Flash when needed
- Creating a Gemini Notebook notebook and adding sources from files, Google Drive, websites, YouTube, or pasted text
- Audio Overviews, slide decks, and infographics as Gemini Notebook Enterprise output formats for sharing findings
- Hands-on Lab: Ground a prompt in a connected data source using @mention directly in Gemini Enterprise chat, then create a Gemini Notebook notebook by uploading a competitor’s earnings call transcripts and generate an Audio Overview a teammate can listen to on a commute.
Module 2 - Connecting Gemini Enterprise to Your Data
By the end of this module, you will be able to select which admin-configured connectors, including Microsoft 365 sources such as Outlook, SharePoint, and OneDrive, apply to a given prompt. You will also enable Enterprise web search and Google Workspace and third-party connectors such as Salesforce, Jira, and SAP, verify data-store ingestion status, and explain why grounding a response in connected data produces a more reliable answer than general knowledge alone.
- Connectors as admin-configured data stores you enable or disable from the connectors icon in chat
- Enabling or disabling Enterprise web search for a given prompt
- Microsoft 365 connectors, including Outlook, SharePoint, and OneDrive
- Google Workspace and third-party connectors such as Salesforce, Jira, and SAP
- Verifying data-store ingestion status and troubleshooting connector errors
- Grounding agent responses in permission-aware connected data instead of general knowledge alone
- Hands-on Lab: Enable the Microsoft 365 and Enterprise web search connectors for a single prompt, then generate a one-page executive brief from a OneDrive folder of vendor contracts that flags renewal deadlines and open action items.
Module 3 - Using Pre-Built Agents and Tools
By the end of this module, you will be able to launch a Google-made agent such as Gemini Notebook, Deep Research, or Data Insights from the Agents panel instead of building your own. You will choose between Deep Research and Deep Research Max, frame a research task as a monitoring, comparison, or investigative prompt, ground its run in enabled connectors, and review its reports and audio summaries before accepting them. You will also attach Canvas from the chat’s + menu to create, iterate on, and export documents and slides.
- The Agents panel as the home for Google-made agents such as Gemini Notebook, Deep Research, and Data Insights
- Choosing between Deep Research and Deep Research Max for latency versus analytical depth
- Framing a research task as a monitoring, comparison, or investigative prompt for Deep Research
- Reviewing a Deep Research report and its grounding sources before accepting the output
- Attaching Canvas from the chat’s + menu to create, iterate on, and export documents and slides
- Data Insights for natural-language analysis of spreadsheet and BigQuery data without writing SQL
- Hands-on Lab: Frame a competitive-landscape monitoring prompt for Deep Research, ground it in an enabled connector, review its sourced report, then attach Canvas from the + menu to turn it into a one-pager and export it to Google Docs for a leadership review.
Module 4 - Building Custom Agents with Agent Designer
By the end of this module, you will be able to build a custom agent in Agent Designer’s chat pane and refine it on the Flow canvas, including multi-step agents built from subagents. You will schedule automated runs on the Schedule tab, preview a draft agent’s output on the Preview tab before publishing it with Create, and share it through the Agent Gallery. You will also monitor agent activity in the Inbox and recognize when a custom agent is the wrong tool for a given task.
- Building an agent from a natural-language prompt in the Agent Designer chat pane
- The Flow canvas, node configuration, and multi-step agents built from subagents
- The Schedule tab for recurring executions and the Preview tab for testing before publishing
- Publishing with Create and sharing agents through the Agent Gallery
- Monitoring agent runs in the Inbox, including Needs your input, Errors, and Completed
- Recognizing when a custom agent is the wrong tool for a given task
- Hands-on Lab: Build an Agent Designer agent on the Flow canvas that triages incoming customer support tickets, preview its draft output on the Preview tab, publish it with Create, then monitor its first run in the Inbox.
Schedule
FAQ
Does the course schedule include a Lunchbreak?
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
What languages are used to deliver training?
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
What does GTR stand for?
GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
How do I find an Ascendient Learning training location?
We have training locations across the United States and Canada - View a complete list of classroom training locations.
Which delivery formats are available?
At Ascendient Learning, we offer training that is Instructor-Led, Online, Virtual, and Self-Paced.
Does Ascendient Learning deliver group training?
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
What does vendor-authorized training mean?
As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.
Is the training too basic, or will you go deep into technology?
It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.
How up-to-date are your courses and support materials?
We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.
Are your instructors seasoned trainers who have deep knowledge of the training topic?
Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.
Do you provide hands-on training and exercises in an actual lab environment?
Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.
Will you customize the training for our company’s specific needs and goals?
We will work with you to identify training needs and areas of growth. We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.
How do I get started with certification?
Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.
Will I get access to content after I complete a course?
You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.
How do I request a W9 for Ascendient Learning?
View our filing status and how to request a W9.
Reviews
Easy to use and exactly what I was looking for. Value for money was exceptional.
The labs and course material gave me valuable insights into cloud security architecture
They were very good. They made sure everyone was able to get into the training and got all of the material needed for class.
The training was good but needed the basic skills of maximo before getting deep in the configuration of it.
I like their training. A lot of material covered. The labs are very good. l learned a lot.
