Google AI Integration for Sales (GAIISE)

 

Course Overview

This course equips Sales professionals with the skills to leverage Google AI tools, including Gemini, and NotebookLM Enterprise. You'll learn to draft personalized outreach, refine client communications with Gemini Gems for improved linguistic quality, analyze sales data for insights, and automate lead qualification and follow-up processes. Implement AI-driven solutions effectively and ethically to streamline sales workflows.

Who should attend

  • Sales Dev Representatives
  • Account Executives
  • Sales Managers
  • Sales Operations Specialists

Prerequisites

  • Basic Google Apps familiarity, Google Workspace skills, Gemini familiarity, basic NotebookLM skills, Sales lifecycle process knowledge, CRM software familiarity

Course Objectives

  • Utilize the core features of Gemini to personalize outreach, enhance productivity, and improve customer relationship management.
  • Apply advanced Gemini capabilities (Gems) to develop highly customized client engagement strategies and proactive pipeline risk analysis frameworks.
  • Leverage NotebookLM Enterprise to securely query and synthesize information from sales playbooks and client logs for tailored proposals and client-specific messaging.

Prices & Delivery methods

Online Training

Duration
3 hours

Price
  • on request
Classroom Training

Duration
3 hours

Price
  • on request

Schedule

Italian

1 hour difference

Online Training Time zone: Central European Summer Time (CEST) Course language: Italian
Online Training Time zone: Central European Summer Time (CEST) Course language: Italian
Online Training Time zone: Central European Time (CET) Course language: Italian
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training. If you have any questions about our online courses, feel free to contact us via phone or Email anytime.

Egypt

Cairo Course language: English
Cairo Course language: English
Cairo Course language: English