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Cloud Hero: Generative AI Explorer

This hands-on experience equips you with Agent Platform's suite of tools for building and deploying custom models. Leverage BigQuery for data preparation and train TensorFlow models locally. Then, seamlessly transition to Agent Platform for model training, deployment, and serving predictions. Master prompt design best practices within Agent Studio to craft effective prompts for various text generation tasks. Explore cutting-edge models and unlock the transformative power of Generative AI.

Google Cloud
✓ Official training Google CloudLevel Fundamentals⏱️ 1 day (5.5h)

What you will learn

  • Agent Platform: Qwik Start
  • Getting Started with the Agent Platform Gemini 1.5 Pro Model
  • Generative AI with Agent Platform: Prompt Design
  • Get Started with Agent Studio

Prerequisites

  • Experience with Jupyter Notebooks and Cloud Console

Target audience

  • Someone looking to learn more on Agent Platform capabilities and prompt design

Training Program

4 modules to master the fundamentals

Activities

GSP917 - Agent Platform: Qwik Start (90 mins)

Activities

GSP1150 - Getting Started with the Agent Platform Gemini 1.5 Pro Model (90 mins)

Activities

GSP1151 - Generative AI with Agent Platform: Prompt Design (90 mins)

Activities

GSP1154 - Get Started with Agent Studio (60 mins)

Related 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
  • Serious Game / Business Game — Game-based learning simulating professional challenges.
  • Guided Labs — Guided practical exercises on software, hardware, or technical environments.
  • Troubleshooting / Problem Solving — Diagnosing and fixing a breakdown, bug, or malfunction.
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

Developers and data practitioners who want a full day of hands-on practice across Agent Platform's generative AI toolchain.
You will be able to get started on Agent Platform, work with the Gemini models it exposes, apply prompt design techniques for generative AI, and take your first steps in Agent Studio.
Cloud Hero is Google Cloud's gamified lab format: instead of following slides, you work through a series of hands-on labs on real Google Cloud projects, scored as you progress. The competitive framing is what keeps a room of practitioners engaged for a whole session.
The session runs 137 hands-on labs: getting started on Agent Platform, working with its Gemini models, prompt design for generative AI, and getting started with Agent Studio.
This course is contracted via Google Cloud only: it cannot be purchased directly from SFEIR Institute. Contact us to learn how to order it through Google Cloud.
Yes. Cloud Hero is an official Google Cloud format, delivered here 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. Because this course is contracted via Google Cloud, contact us to review the options that apply to your situation.

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