🏆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
GCPSPARKSAIAGENT

AI Agent Essentials on Google Cloud Training

This course provides a practical guide to building your own digital workforce, enabling busy managers to shift their focus from being the "everything person" stuck in repetitive tasks to becoming an "Agent Manager" who oversees a smart digital team on Google Cloud. Participants will learn to lead and manage the full Google Cloud AI toolkit—leveraging Gemini for handling day-to-day assistant work and Gemini Enterprise Agent Platform for building specialized, expert agents that know your business rules. The course bridges the gap between just "chatting" with AI and running an automated, high-output department. Learners will master identifying the busywork that steals your time, writing clear "Playbooks" that AI can actually follow, and the essential human safety checks required to grow your team's impact without the burnout. This approach aims to help you reclaim your work week while maintaining total privacy and security for your business data.

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

What you will learn

  • Distinguish between "Librarian" (Stage 2) and "Chief of Staff" (Stage 3) AI agents.
  • Direct the construction of functional, grounded agents using the Agentic Build Loop.
  • Implement Human-in-the-Loop oversight models to manage business risk.
  • Drive responsible agentic transformation and scale departmental capacity.

Prerequisites

  • A basic understanding of Generative AI: Knowing the difference between a simple "one-off" prompt and a continuous conversation with AI.
  • Deep knowledge of your own business processes: Being able to clearly describe the step-by-step path a task takes through your department.
  • Helpful to be familiar with identifying "Manual Toil": Spotting the specific, repetitive tasks that act as bottlenecks in your team's daily schedule.
  • Helpful to be familiar with the "Director" Mindset: A willingness to shift from "doing the work yourself" to "defining the rules" for a digital collaborator.

Target audience

  • Department Heads: Need to grow their team's impact without the burnout of increasing headcount. They will learn to oversee digital "Chiefs of Staff" to reclaim their work week and focus on high-level strategy., Change Agents: Responsible for fixing the clunky, repetitive tasks that slow everyone down. They will learn how to use the Agentic Build Loop to transform "Manual Toil" into smooth, automated workflows., Strategic Architects: Need to understand how to turn business rules into reliable AI actions. They will gain the skills to design secure "Playbooks" and human safety checks to ensure every agent stays on track and protects the company's data.

Training Program

5 modules to master the fundamentals

Objectives
  • Recognize that AI agents are already embedded in everyday personal and professional life.
  • Define an AI agent in non-technical language and distinguish it from chatbots and automation.
  • Explain the AI models that power agents and why the model is not the agent.
Topics covered
  • →You Already Know Agents
  • →What Is an AI Agent, Really?
  • →The Models Behind the Agents
Activities

1 discussion

Objectives
  • Identify the spectrum of agent-building approaches and the trade-offs of each.
  • Build a functional Enterprise AI Agent in Gemini Enterprise to solve a business problem.
  • Determine which build approach fits a given use case, skill level, and organizational context.
Topics covered
  • →The Build Spectrum
  • →Building an Enterprise AI Agent
  • →The Decision Framework
Activities

1 live demo

Objectives
  • Identify specific failure modes and assess the potential business impact.
  • Apply human oversight models (HITL/HOTL) appropriate to the risk level.
  • Describe the controls and resilience strategies required for enterprise deployments.
Topics covered
  • →When Agents Go Wrong
  • →Keeping Agents in Check
  • →Resilience & Security
Objectives
  • Articulate the principles and structures needed to govern agentic AI across an enterprise.
  • Communicate confidently about AI agents with stakeholders.
  • Synthesize an actionable personal plan for agentic use and advocacy.
Topics covered
  • →Governing AI Agents at Scale
  • →Speaking the Language
  • →Your 30-Day Action Plan
Activities

1 activity

Objectives
  • Evaluate understanding of core course concepts through scenario-based questions.
Topics covered
  • →Review of Core Concepts
Activities

5 scenario-based multiple choice questions

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Upcoming sessions

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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 foundational course is designed for busy managers and team leads who want to shift from being the 'everything person' to becoming an Agent Manager overseeing a smart digital team on Google Cloud.
No. As a level 100 course, it requires no coding. Basic familiarity with an AI assistant such as Gemini is helpful, but the focus is on leading and managing agents.
You will learn to lead the full Google Cloud AI toolkit, build grounded agents with the Agentic Build Loop, apply Human-in-the-Loop oversight, and scale your department's capacity responsibly.
The course distinguishes Stage 2 'Librarian' agents, which retrieve and organize knowledge, from Stage 3 'Chief of Staff' agents, which take on more autonomous, expert work across your business rules.
The course lasts 3 hours and is delivered in an instructor-led format 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

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