GCPSPARKSAIAPPDEV

AI Powered Application Development on Google Cloud Training

This course provides a practical guide to the 'Vibe Coding' methodology, enabling developers to shift their operational focus from manual syntax authoring to AI-directed logic management on Google Cloud. Participants will learn to orchestrate the full Gemini ecosystem—leveraging Gemini Code Assist for high-velocity feature development and the Gemini CLI Agent for complex, multi-file system automation. The course bridges the gap between rapid prototyping and professional engineering. Learners will master intent-based prompting strategies, 'agentic' workflows for infrastructure-as-code, and the essential 'human-in-the-loop' validation protocols required to secure and audit AI-generated software. This approach aims to drastically reduce implementation time while maintaining strict standards for security and code quality.

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

What you will learn

  • Shift Mindset: Transition from manual syntax writing to high-level "Vibe Coding" (prompting for outcomes rather than typing logic).
  • Micro-Workflow: Generate, refine, and test code within the IDE using Gemini Code Assist.
  • Macro-Workflow: Execute complex, multi-file system tasks using natural language instructions via the Gemini CLI Agent.
  • Governance: Validate and secure AI-generated code using established professional standards (The "Director" role).

Prerequisites

  • Basic familiarity with an IDE
  • Terminal commands
  • Helpful to be familiar with: Basic Web Development

Target audience

  • Software Engineer: Accelerate the "idea-to-code" cycle; generate functions and unit tests instantly., DevOps / SRE: Automate system tasks; leverage the CLI Agent for multi-file refactoring and infrastructure generation., Technical Lead: Implement "Vibe Coding" workflows while enforcing strict validation and security guardrails.

Training Program

5 modules to master the fundamentals

Objectives
  • Contrast traditional coding with the Vibe Coding workflow.
  • Identify new skills required for prompting, reviewing, and iterating.
  • Position Code Assist and CLI within the Vibe workflow.
Topics covered
  • →The Vibe Shift
  • →The "Director" Mindset
  • →The Ecosystem Map
Activities

1 poll

Objectives
  • Construct natural language prompts that generate functional code.
  • Execute "Explain" and "Refine" commands for code understanding.
  • Generate unit tests using single-shot prompts.
Topics covered
  • →Smart Completion & Generation
  • →The Chat Interface
  • →Test Generation
Activities

1 demo

1 poll

Objectives
  • Translate intent into executable shell commands.
  • Execute project-wide transformations using the CLI agent.
  • Rapidly prototype project structures using agentic prompts.
  • Contrast tactical execution with strategic agent workflows.
  • Analyze and fix system-level errors spanning multiple files.
Topics covered
  • →Natural Language System Control
  • →The "Vibe" Loop in Action
  • →Scaffolding & Architecture
  • →The Strategic Agents (Preview)
  • →Troubleshooting the "Vibe"
Activities

2 discussions

3 demos

Objectives
  • Critique AI outputs for hallucinations and logic gaps.
  • Identify security risks in rapid AI development.
  • Apply strict review protocols before committing code.
Topics covered
  • →The Human Guardrails
  • →Security and IP Risks
  • →Validation Protocols
Activities

1 discussion

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

5 scenario-based multiple choice questions

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.
  • 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 intermediate course is designed for developers who want to shift from manual syntax authoring to AI-directed logic management, orchestrating the Gemini ecosystem on Google Cloud.
As a level 200 course, it assumes existing software development experience and comfort with an IDE and the command line. No prior AI-assisted coding experience is required.
You will learn the Vibe Coding methodology, using Gemini Code Assist for high-velocity feature work and the Gemini CLI Agent for multi-file automation, plus how to validate and secure AI-generated code.
The micro workflow generates, refines, and tests code inside the IDE with Gemini Code Assist. The macro workflow executes complex, multi-file system tasks in natural language via the Gemini CLI Agent.
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