Course Overview of AI Powered Application Development on Google Cloud

Participants will learn how to orchestrate the full Gemini ecosystem by leveraging Gemini Code Assist for rapid feature development and Gemini CLI Agent for complex, multi-file system automation. The course bridges the gap between rapid prototyping and professional software engineering by teaching intent-based prompting strategies, agentic workflows for infrastructure and application development, and governance practices required to validate, secure, and audit AI-generated code. Through demonstrations, discussions, and real-world scenarios, learners will gain practical skills for building applications faster while maintaining enterprise standards for security, quality, and maintainability.  

After completing AI Powered Application Development on Google Cloud, you will be able to:

  • Transition from manual coding to intent-driven AI-assisted development.
  • Apply the Vibe Coding methodology to software projects
  • Use Gemini Code Assist for code generation and refinement.
  • Generate and validate unit tests using AI assistance
  • Utilize Gemini CLI Agent for system-level automation.
  • Perform multi-file refactoring using natural language prompts.
  • Accelerate application scaffolding and architecture design.
  • Identify and mitigate risks associated with AI-generated code
  • Apply governance and validation protocols for AI-assisted development.
  • Improve software delivery speed while maintaining code quality.

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Key Features of AI Powered Application Development on Google Cloud

  • Vibe Coding Methodology

  • Gemini Code Assist Development Workflows

  • Natural Language Code Generation

  • AI-Powered Testing and Refactoring

  • Gemini CLI Agent Automation

  • Agentic Development Workflows

  • Security and Governance Controls

  • Human-in-the-Loop Validation

Who should Attend AI Powered Application Development on Google Cloud

  • Authorized Google Cloud Training Partner
  • Industry-Experienced AI and Software Engineering Experts.
  • Practical Focus on Modern AI-Assisted Development Workflows
  • Real-World Coding, Automation, and DevOps Scenarios.
  • Interactive Instructor-Led Learning Experience.
  • Exposure to Google’s Latest AI Development Tools.
  • Focus on Secure, Governed, and Scalable Software Development.
  • Continuous Learning and Professional Development Support.

Prerequisites for AI Powered Application Development on Google Cloud

  • Basic familiarity with an IDE.  
  • Familiarity with terminal commands.  
  • Basic web development knowledge is helpful.  
  • Prior software development experience is recommended.  
 

Why choose CloudThat as your training partner?

  • Specialized GCP AI and AgentOps Expertise 
  • Industry-Recognized Trainers 
  • Hands-On Learning Approach
  • Customized Learning Paths 
  • Interactive Learning Experience
  • Placement Assistance and Career Support 
  • Continuous Learning and Updates 
  • Positive Reviews and Testimonials

Learning Objectives

  • Adopt AI-assisted development workflows using Gemini tools.  
  • Accelerate application development through intent-driven coding.  
  • Generate, refine, and test code efficiently using Gemini Code Assist.  
  • Utilize Gemini CLI Agent for automation and orchestration tasks.  
  • Implement agentic workflows for application development
  • Maintain code quality through validation and governance practices.  
  • Reduce development effort while improving productivity.  
  • Scale AI-powered software development across engineering teams.   

Course Outline AI Powered Application Development on Google Cloud: Download Course Outline

  • The Vibe Shift
  • The "Director" Mindset
  • The Gemini Ecosystem Map
  • Modern AI-Assisted Development

Learning Outcomes

  • Contrast traditional coding approaches with Vibe Coding workflows.
  • Understand the shift from syntax-focused development to intent-driven development.
  • Identify the role of developers as AI workflow directors.
  • Position Gemini Code Assist and Gemini CLI within modern development workflows.

Activities

  • Poll: AI-Assisted Development Adoption

  • Smart Completion and Code Generation
  • Working with the Chat Interface
  • AI-Assisted Test Generation
  • Code Explanation and Refinement

Learning Outcome

  • Create effective prompts for code generation.
  • Generate functional code using natural language instructions
  • Use Explain and Refine capabilities to improve code quality
  • Generate unit tests using AI-assisted workflows.
  • Accelerate feature development with Gemini Code Assist

Activities

  • Demo: Code Generation with Gemini Code Assist
  • Poll: Developer Productivity Challenges 

  • Natural Language System Control
  • The Vibe Loop in Action
  • Application Scaffolding and Architecture
  • Strategic Agents Overview
  • Troubleshooting AI-Assisted Development

Learning Outcomes

  • Translate business intent into executable commands.
  • Execute project-wide transformations using Gemini CLI Agent.
  • Rapidly scaffold application architectures.
  • Understand strategic agent workflows.
  • Troubleshoot system-level issues spanning multiple files and components.

Activities

  • Discussion: Agentic Development Workflows
  • Discussion: Scaling AI-Assisted Development
  • Demo: Natural Language System Automation
  • Demo: Multi-File Refactoring
  • Demo: Project Scaffolding with Agents

  • Human Guardrails
  • Security Risks in AI-Assisted Development
  • Intellectual Property Considerations
  • Validation and Review Protocols
  • Governance Best Practices

Learning Outcomes

  • Critically review AI-generated code.
  • Identify hallucinations, logic gaps, and security vulnerabilities.
  • Understand intellectual property and licensing concerns.
  • Apply governance and validation protocols before deployment.
  • Establish human-in-the-loop review processes. 

Activities

  • Discussion: Secure AI Development Practices

  • Review of Core Concepts
  • Course Reflection
  • Knowledge Assessment

Learning Outcomes

  • Validate understanding of AI-assisted development concepts.
  • Apply Vibe Coding principles to development scenarios.
  • Demonstrate awareness of governance and security requirements

Activities

  • 5 Scenario-Based Multiple Choice Questions

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Course ID: 29543

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FAQs for AI Powered Application Development on Google Cloud

This course is designed for developers, DevOps engineers, SREs, and technical leaders who want to accelerate software development using AI-powered tools and workflows.

Vibe Coding is an AI-assisted development methodology where developers focus on directing outcomes through prompts and intent while AI tools generate and refine code implementations.

The course covers Gemini Code Assist, Gemini for Google Cloud, Cloud Shell Editor, and Cloud Shell.

Gemini Code Assist is Google’s AI-powered coding assistant that helps developers generate, explain, refine, and test code using natural language interactions.

Gemini CLI Agent enables developers to execute complex, multi-file development and automation tasks using natural language commands and agentic workflows.

Yes. The course includes security risks, governance controls, validation protocols, intellectual property considerations, and human review practices.

Yes. Participants learn how to generate unit tests and improve test coverage through prompt-driven AI-assisted workflows.

No. The course assumes learners already have software development experience and focuses on enhancing existing workflows with AI-powered development tools.

Yes. A CloudThat Course Completion Certificate will be awarded upon successful completion.

The course duration is 3 hours and is delivered as an instructor-led training program.

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