🏆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
GCP300PROMPTATHON

Gemini Enterprise Promptathon Capstone

The Gemini Enterprise Promptathon is an intensive, hands-on workshop where you will apply your skills from the Explore AI for Activation courses to a real-world challenge. Working in teams, you will tackle a use case of your choosing, progressing from an initial idea to a functional prototype. This capstone hands-on event emphasizes collaboration, rapid prototyping, and creative problem-solving using the full suite of Gemini Enterprise tools. At the end of the session, your team will present your solution, showcasing your ability to deliver tangible business value with generative AI.

Google Cloud
✓ Official training Google CloudLevel Advanced⏱️ 0.5 day (4h)

What you will learn

  • Identify and scope a high-value generative AI use case.
  • Collaborate effectively in a team to design, build, and test an AI-driven solution.
  • Select the optimal combination of Gemini tools for a given project.
  • Rapidly prototype and iterate on a solution under a time constraint.
  • Communicate the value and functionality of a technical solution to an audience.

Prerequisites

  • Building Agents for Gemini Enterprise
  • Gemini Enterprise for Image, Video, and Audio Analysis
  • Streamlining Workflows with Gemini Notebook
  • Vibe Coding for Instant Deployable Apps
  • Gemini Enterprise Tools Workshop

Target audience

  • Students who have completed the prerequisite Explore AI for Activation courses and want to apply their skills to a real-world project.

Training Program

4 modules to master the fundamentals

Objectives
  • Establish collaborative teams and finalize a viable generative AI use case framework.
Topics covered
  • →Form teams and brainstorm potential generative AI use cases relevant to your work.
  • →Select and refine a single use case, defining the problem statement, goals, and success criteria.
  • →Outline a high-level project plan and a minimum viable product (MVP) for the hackathon.
Activities

Team brainstorming and MVP scoping session

Objectives
  • Architect the AI solution and map technical requirements to corresponding Gemini Enterprise and Google Cloud tools.
Topics covered
  • →Create a detailed solution design and architecture for your chosen use case.
  • →Map project requirements to the specific Gemini and Google Cloud tools covered in the prerequisite courses.
  • →Assign roles and responsibilities within your team for the development phase.
Activities

Architecture mapping and role assignment workshop

Objectives
  • Develop and refine a functional prototype under time constraints using prompt engineering and vibe coding.
Topics covered
  • →Execute your project plan to build and prototype your solution.
  • →Apply prompt engineering, vibe coding, and agent-building skills to create functional components.
  • →Conduct iterative testing and refinement to ensure your solution meets the defined goals.
Activities

Hands-on prototyping, engineering, and iterative testing

Objectives
  • Communicate the technical functionality and business value of the completed solution to an audience.
Topics covered
  • →Prepare a concise presentation to share your team's project with the group.
  • →Demonstrate your working prototype and explain your design choices.
  • →Share key learnings, challenges, and results from the hackathon.
Activities

Prototype demonstration and team solution showcase presentation

Related Trainings

Google Cloud

Building Agents for Gemini Enterprise

Gemini Enterprise Agent Designer allows you to rapidly transform complex business requirements into autonomous, data-aware workflows. Participants will master flow-builder configuration to create knowledge-grounded agents that tap into internal company data and design powerful multi-agent systems to coordinate specialized tasks across multi-stage projects. This course is a fast-paced, 90% hands-on and demo session, structured around a set of practical use cases called “Plays.” You will deploy web-connected agents on recurring schedules for high-impact deliverables

0.5 d
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Gemini Enterprise Tools Workshop

The Gemini Enterprise Tools Workshop is designed to equip you with the advanced skills necessary to maximize the full suite of Gemini's built-in tools. Using a realistic case study, participants will learn how to seamlessly integrate web search, manage contextual files, and conduct comprehensive deep research. This course is a fast-paced, 90% hands-on and demo session, structured around a set of practical use cases called "Plays." You will learn how to use advanced prompt engineering techniques and built-in Gemini tools to synthesize complex information and drive data-backed decisions.

0.5 d
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Google Cloud

Vibe Coding for Instant Deployable Apps

Vibe coding is a generative AI-driven approach to application development that leverages conversational prompting in tools such as Gemini Canvas and Google AI Studio to rapidly translate ideas into functional code. This method allows people to go from a low-fidelity UI sketch or high-level requirements to a responsive, data-ingesting application with live Gemini API integration and state persistence, bypassing traditional development bottlenecks. This course is a fast-paced, 90% hands-on and demo session, structured around a set of practical use cases called "Plays." You will apply iterative vibe coding techniques independently to an original problem and learn to make an informed choice about which AI coding tool best fits a given use case.

0.5 d
Intermediate
View all 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
  • Breakout Sessions / Small Group Work — Problem-solving or workshops conducted in small teams.
  • Capstone Project / Long-term Project — A complete project built step-by-step throughout the training course.
  • Peer Review — Assessment or analysis of a student's work by another student.
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

Participants who have completed the prerequisite Explore AI for Activation courses and want to apply those skills to a real-world project.
Yes. This is a capstone: it assumes the prompting, tooling and agent skills taught in the Explore AI for Activation track, and spends its four hours applying them rather than teaching them.
In teams, across four stages: ideation and team formation, solution design and tool selection, implementation and testing, then a solution showcase with group review.
You will be able to identify and scope a high-value generative AI use case, pick the right combination of Gemini tools, prototype and iterate under a time constraint, and communicate the value of a technical solution to an audience.
Yes, teams work on a use case of their choosing, which is what makes the output directly transferable to your own context.
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

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