GCP100AIEVERY

Explore AI for Everyone Training

This introductory training bridges the gap between everyday operational challenges and the art of what is possible with enterprise AI. By navigating a deep repository of 150 industry workflows, this beginner-friendly course utilizes relatable, vertical-specific sample scenarios to spark immediate inspiration. Participants will establish foundational comfort with generative frameworks, learning how to spot high-value automated opportunities and transform daily routines into strategic business assets.

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

What you will learn

  • Identify routine business processes that can be transformed using specialized generative AI products.
  • Formulate structured natural language inputs to drive interactive asset creation and visual prototypes.
  • Deconstruct common operational workflows into tasks suitable for multi-agent autonomous coordination.
  • Recognize how to combine disparate public and corporate data streams to surface strategic business insights.
  • Establish a collaborative framework to identify, scope, and prioritize key generative AI use cases.
  • Build organizational alignment to champion and pilot AI initiatives within your business units.

Prerequisites

  • Familiarity with standard workplace productivity software and cloud enterprise applications.
  • No previous technical experience with artificial intelligence or programming is required.

Target audience

  • Business Users, managers, and cross-functional teams seeking a welcoming yet inspiring entry point into enterprise AI tools to optimize their daily operations.

Training Program

4 modules to master the fundamentals

Objectives
  • Navigate the central hub for real-time synthesis, content generation, and strategic brainstorming.
  • Utilize plain-language expressions to produce highly professional visual formats that command attention.
Topics covered
  • →The Enterprise Desktop: Navigating real-time context synthesis and rapid corporate decision engines
  • →The Art of Prompting: Moving from basic keyword chat to driving structured workspace execution
  • →Visionary Visualizations: Reimagining data visualizations and executive alignment into premium visual artifacts
Activities

Live group walk-through of the customer's prioritized vertical-specific visualization plays (derived from selections like Nano Banana and Gemini Enterprise models).

Objectives
  • Distill unstructured or regulatory text into clear, evidence-cited briefings and executive memos.
  • Outline the high-level operational rules required to deploy an autonomous multi-agent taskforce.
Topics covered
  • →Intelligent Synthesis: Transforming dense, multi-source paperwork into queryable 'franchise bibles'
  • →The Multi-Agent Workspace: Orchestrating autonomous taskforces to execute end-to-end workflows
  • →Deconstructing Complexity: Mapping repetitive corporate tasks into structured automated systems
Activities

Hands-on scenario mapping where participants leverage Gemini Notebook and Agent Creator frameworks to translate dense operational logs into an automated process.

Objectives
  • Generate interactive pro-forma financial or operational dashboards on the fly using Canvas.
  • Deploy automated deep research patterns to synthesize macro factors and competitive market indicators.
Topics covered
  • →Conversational Prototyping: Utilizing natural language to code functional dashboards and live 'digital twins'
  • →Cross-Signal Intelligence: Connecting public and private data streams to uncover hidden trends and market risks
  • →Environmental Intelligence: Harnessing raw visual parameters and sensory data to optimize operations
Activities

Simulated classroom sandbox delivery of a custom-curated mix of 4 to 5 high-stakes use cases (such as Vibe Coding simulators and Deep Research indicators) matched to industry priorities.

Objectives
  • Explain how automated video analysis models track continuous workspace safety, compliance, and efficiency baselines.
  • Apply real-time feedback metrics to optimize presentation styles and high-stakes stakeholder communication.
Topics covered
  • →Automated Visual Supervision: Turning raw plant, retail, or office footage into strategic operational intelligence
  • →Mapping Invisible Paths: Identifying architectural, human, or supply chain flows to resolve hidden bottlenecks
  • →AI-Powered Executive Coaching: Refining presentation delivery, pacing, and presence through continuous video metrics
Activities

Reviewing an analytical dashboard mapping site flow anomalies alongside processing automated scoring feedback from a simulated presentation rehearsal.

Related Trainings

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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.
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

Business users, managers and cross-functional teams looking for a welcoming but inspiring entry point into enterprise AI tools. No technical background is needed.
No. The course is beginner-friendly: it starts from everyday operational challenges rather than from the technology.
It draws on a repository of 150 industry workflows and uses vertical-specific sample scenarios, so you work from situations that resemble your own operations.
You will be able to identify routine business processes that generative AI can transform, write structured natural language inputs to create assets and prototypes, and break workflows down into tasks suited to multi-agent coordination.
Three hours, instructor-led by SFEIR Institute, built around demonstrations and group discussion rather than coding.
Yes. This is an official Google Cloud course delivered by SFEIR Institute, a certified Google Cloud Training Partner and Google Cloud Training Partner of the Year 2025.
Our training organizations SFEIR SAS and SFEIR-Est are Qualiopi certified for training activities. Contact us for a quote.

790€ excl. VAT

per learner