🏆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
GCPSPARKSENTAIINTEG

Enterprise AI Integration Training

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 Agent Platform, 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.

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

What you will learn

  • Map Google Cloud AI tools to high-value use cases.
  • Design basic AI integration patterns.
  • Develop an AI implementation roadmap.

Prerequisites

  • There are no specific prerequisites for this course, though a basic understanding of cloud computing concepts is beneficial.

Target audience

  • Business leaders with some technical knowledge.

Training Program

6 modules to master the fundamentals

Topics covered
  • →The enterprise AI integration imperative
  • →What do we mean by 'enterprise AI'?
  • →Agentic AI and capabilities of agents
Objectives
  • Map Google Cloud AI tools to high-value use cases.
Topics covered
  • →The Google Cloud AI advantage
  • →The foundation layer: Gemini models and capabilities
  • →The application layer: Daily tools and research assistance
  • →The customization layer: Agent Platform Agent Builder
  • →The trust layer: Security and governance
Activities

5x demos

Objectives
  • Design basic AI integration patterns.
Topics covered
  • →Integration strategy and unified interface
  • →Integration patterns
  • →API strategy
  • →Integration security and governance
Objectives
  • Map Google Cloud AI tools to high-value use cases.
  • Develop an AI implementation roadmap.
Topics covered
  • →Steps to build an enterprise AI integration strategy (Defining business goals and identifying high-impact use cases, Assessing data readiness and choosing technology, Establishing governance and developing AI)
  • →Managing organizational change and building an AI culture
Objectives
  • Review key learnings and assess knowledge retention.
Topics covered
  • →Summary of key concepts
Activities

1x quiz (3 questions)

Topics covered
  • →Cymbal companies overview
  • →Industry spotlight: Agent capabilities
  • →Industry spotlight: Integration patterns

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Upcoming sessions

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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.
  • Group Discussion — Open exchange among peers and the instructor on a specific topic.
  • Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
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 course is designed for business leaders and technical strategists guiding the integration of AI into their enterprise ecosystem.
This is a foundational (level 100) course. No hands-on engineering is required, though familiarity with your organization's systems and goals is helpful.
You will learn to map Google Cloud AI tools to high-value use cases, design basic AI integration patterns, and develop an AI implementation roadmap.
The course covers the Google Cloud AI ecosystem including Gemini and Vertex AI, integration patterns such as data flow and event-driven architectures, and a seven-step implementation strategy.
The course lasts 3 hours and is delivered live in an instructor-led format.
Yes. This is an official Google Cloud Sparks course delivered by SFEIR Institute, a certified Google Cloud Training Partner.

790€ excl. VAT

per learner

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