Course Overview of AI Powered Application Development on Google Cloud

AI Powered Application Development on Google Cloud introduces developers to the emerging “Vibe Coding” methodology, where software engineers shift from manually writing code to directing AI-powered development workflows through prompts, intent-driven instructions, and agentic automation. Participants will learn how to leverage the full Gemini ecosystem, including Gemini Code Assist, Gemini CLI Agent, Cloud Shell Editor, and Gemini for Google Cloud, to accelerate feature development, automate infrastructure tasks, generate tests, and manage large-scale code transformations. The course also emphasizes security, governance, validation, and the critical role of human oversight in AI-assisted software engineering.

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

  • Transition from traditional coding workflows to AI-powered “Vibe Coding” practices.
  • Generate, refine, and test code using Gemini Code Assist
  • Execute multi-file development and automation tasks using Gemini CLI Agent.
  • Apply intent-based prompting strategies to accelerate development.
  • Automate infrastructure and application workflows using agentic approaches.
  • Evaluate AI-generated code for quality, security, and maintainability.
  • Implement governance and validation processes for AI-assisted software development.

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Key Features of AI Powered Application Development on Google Cloud

  • The Vibe Coding Revolution

  • Building with Gemini Code Assist

  • The Micro Workflow: AI-Assisted Development

  • The Macro Workflow: Gemini CLI and Agents

  • Agentic Development Workflows

  • Security and Governance in AI Development

  • Human-in-the-Loop Validation

  • Real-World AI Development Scenarios

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 Integrated Development Environment (IDE)
  • Basic understanding of terminal commands
  • Familiarity with web development concepts is beneficial
  • Experience in software development is recommended
  • No prior experience with Gemini Code Assist or Gemini CLI Agent required

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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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