🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
GCPSPARKSAIINTEGMKTG

Google AI Integration for Marketing Training

This course equips Marketing professionals with the skills to leverage Google AI tools, including Google Workspace with Gemini, NotebookLM Enterprise and Gemini Enterprise. You'll learn to create engaging campaign content, optimize marketing copy with Gemini Gems for better engagement, synthesize market research for strategy, and automate routine campaign management tasks. Implement AI-driven solutions effectively and ethically to streamline marketing operations.

Google Cloud
✓ Official training Google CloudLevel Intermediate⏱️ 0.5 day (3h)

What you will learn

  • Utilize the core features of Google Workspace with Gemini to accelerate content creation, refine messaging, and brainstorm campaign ideas.
  • Leverage NotebookLM Enterprise to securely query and synthesize information from brand guidelines and market research for grounded content ideas and consistent briefs.
  • Apply specialized AI agents with Gemini Enterprise to synthesize data and automate workflows that solve diverse and creative challenges.
  • Apply advanced Gemini capabilities (Gems) to develop highly customized campaigns and content strategies integrated with brand elements and customer insights.

Prerequisites

  • Basic Google Apps familiarity
  • Google Workspace skills
  • Gemini familiarity
  • basic NotebookLM skills
  • basic Gemini Enterprise knowledge and skills
  • marketing campaign lifecycle knowledge
  • brand voice and guidelines familiarity

Target audience

  • Marketing Managers, Digital Marketing Specialists, Content Creators, Brand Managers, Social Media Managers

Training Program

5 modules to master the fundamentals

Objectives
  • Use the core components of effective prompt structure for AI models.
  • Apply prompting techniques and tips to optimize AI model responses for specific tasks.
Topics covered
  • →Prompt structure
  • →Prompt tips
Activities

1 prompt example

Objectives
  • Identify Gemini features applicable to specific marketing content creation and campaign planning tasks.
  • Demonstrate the use of Gemini to create marketing copy and analyze campaign performance data.
  • Compare the efficiency of completing marketing tasks with and without the integration of Gemini features.
  • Explain the potential time savings and improved content quality gained by leveraging Gemini in marketing workflows.
Topics covered
  • →Use case 1: Drafting blog post outlines and sections
  • →Use case 2: Generating email marketing campaign copy
  • →Use case 3: Brainstorming social media post ideas and drafts
  • →Use case 4: Summarizing marketing campaign performance reports
  • →Use case 5: Analyzing open-ended customer feedback
Activities

5 use case demos

Objectives
  • Review the steps to upload marketing campaign data and create a notebook in NotebookLM.
  • Apply NotebookLM to answer specific marketing analysis questions using the provided source materials.
  • Differentiate between summaries generated by NotebookLM and manually created ones.
  • Assess the reliability and accuracy of content drafted by NotebookLM by verifying its source citations.
Topics covered
  • →Use case 1: Ensuring brand voice consistency in content ideas
  • →Use case 2: Creating grounded creative briefs
  • →Use case 3: Synthesizing competitor messaging analysis
  • →Use case 4: Analyzing qualitative customer feedback themes
  • →Use case 5: Generating content ideas based on SEO research and personas
  • →Use case 6: Create a podcast for market research and Campaign performance data
Activities

6 use case demos

Objectives
  • Leverage premade agents to synthesize complex data into verified, evidence-based reports.
  • Use specialized agents to brainstorm and iterate on strategic concepts or research pathways.
  • Design custom agents to automate and simplify specific professional workflows.
Topics covered
  • →Use case 1: Perform complex research on a topic with the Deep Research agent
  • →Use case 2: Brainstorm and innovate with the Idea Generation agent
  • →Use case 3: Create an X posts creator agent
  • →Use case 4: Multi-agent event content strategist
  • →Use case 5: Multi-channel content adaptor
Activities

5 use case demos

Objectives
  • Analyze the inefficiencies of manual marketing processes that custom Gems can address.
  • Design and refine custom Marketing Gems using effective prompting techniques to automate specific tasks.
  • Apply custom Marketing Gems in relevant use cases to streamline marketing workflows.
  • Explain the benefits of creating custom Marketing Gems, including efficiency, clarity, and cost-effectiveness.
Topics covered
  • →Use case 1: Evolving customer personas into dynamic empathy maps
  • →Use case 2: Crafting a strategic narrative and messaging architecture for a new product launch
  • →Use case 3: Generating a "content pillar and spoke" strategy
Activities

3 use case demos

Related Trainings

Google Cloud

Enterprise AI Integration

This course guides business leaders and technical strategists through the integration of AI into enterprise ecosystems. It covers the foundations of enterprise AI, the Google Cloud AI ecosystem including Gemini and Vertex AI, and essential integration patterns like data flow and event-driven architectures. The training also outlines a seven-step implementation strategy, governance frameworks, and methods for managing organizational change to ensure successful AI adoption.

0.5 d
Fundamental
Google Cloud

Google AI Integration for Financial Services

This course equips Financial Services professionals with the skills to leverage Google AI tools, including Google Workspace with Gemini, NotebookLM Enterprise and Gemini Enterprise. You'll learn to enhance financial analysis, reporting, and client communication, develop specialized tools like early warning systems and tailored investor narratives with Gemini Gems, securely query and synthesize information from diverse financial documents, and automate routine tasks and proactively monitor financial data. Implement AI-driven solutions effectively and ethically to streamline financial operations.

0.5 d
Intermediate
Google Cloud

Google AI Integration for General Workflows

This course equips professionals across various functions with the skills to leverage core Google AI tools; Gemini, NotebookLM, and Gemini Enterprise to transform daily workflows. It will demonstrate how to utilize Gemini for enhanced communication, content generation, and initial data analysis. You'll then leverage NotebookLM to securely query and synthesize vast information from diverse sources for accurate, grounded insights. Finally, you'll explore Gemini Enterprise to automate complex routine administrative tasks and cross-application workflows. This course empowers professionals to implement AI-driven solutions effectively and ethically, reclaiming significant time, streamlining operations, and elevating professional output. An optional Appendix provides additional content on developing specialized capabilities for custom content generation and workflow automation with Gemini Gems, as well as integrating NotebookLM and Gemini for a unified approach to comprehensive data synthesis and actionable report generation.

0.5 d
Intermediate
View all trainings →

Upcoming sessions

No date suits you?

We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.

Register for a custom date

Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

Frequently Asked Questions

This 3-hour course is designed for marketing professionals who want to accelerate content creation, market research, and campaign management using Google AI tools.
No coding or prior AI experience is required. Basic familiarity with Google Workspace is helpful, as the course applies Gemini, NotebookLM Enterprise, and Gemini Enterprise to everyday marketing tasks.
You will learn to use Google Workspace with Gemini to create campaign content and refine messaging, NotebookLM Enterprise to ground ideas in brand guidelines and market research, and Gemini Enterprise to automate campaign workflows.
You will apply advanced Gemini capabilities (Gems) to develop highly customized campaigns and content strategies integrated with your brand elements and customer insights.
The course lasts 3 hours and is instructor-led, delivered by SFEIR Institute.
Yes. This is an official Google Cloud Sparks course delivered by SFEIR Institute, a certified Google Cloud Training Partner.

395€ excl. VAT

per learner

ReserveQuote