Google Cloud

Build and Modernize Applications With Generative AI Specialization

Google Cloud

Build and Modernize Applications With Generative AI Specialization

Accelerate App Development With Generative AI. This path guides developers to enhance projects with generative AI and accelerate their development workflow.

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Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 6 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 6 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand Gemini core concepts and integrate Google's advanced language model into application development projects

  • Build and deploy end-to-end generative AI applications on Google Cloud, including intelligent agents using Vertex AI and Flutter.

  • Modernize existing assets with generative AI capabilities and deploy and scale AI models using Cloud Run.

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Taught in English
Recently updated!

February 2026

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Specialization - 7 course series

What you'll learn

  • Enable Gemini for use with Cloud Code.

  • Use Gemini assistance to develop applications.

Skills you'll gain

Category: Gemini
Category: Application Development
Category: Integrated Development Environments
Category: Generative AI
Category: Google Cloud Platform
Category: Software Development Tools
Category: Code Review
Category: Cloud Applications
Gemini for end-to-end SDLC

Gemini for end-to-end SDLC

Course 2 2 hours

What you'll learn

  • Enable Gemini for application development and management.

  • Use Gemini in the software development lifecycle.

Skills you'll gain

Category: Software Development Life Cycle
Category: Gemini
Category: Google Cloud Platform
Category: Query Languages
Category: Debugging
Category: Google Gemini
Category: Development Testing
Category: Test Script Development
Category: Application Development
Category: Test Case

What you'll learn

  • Describe generative-AI-based application types and use cases.

  • Describe how to build prompt templates to improve model response quality in applications.

  • Describe the subsystems of RAG-capable architectures for generative AI applications on Google Cloud.

  • Build an LLM and RAG-based chat application.

Skills you'll gain

Category: Retrieval-Augmented Generation
Category: Large Language Modeling
Category: Generative AI
Category: Prompt Engineering
Category: Application Deployment
Category: Embeddings
Category: Multimodal Prompts
Category: LLM Application

What you'll learn

  • Enhance the search and navigation experience of your website by incorporating generative AI features using Vertex AI.

  • Edit website content with generative AI tools to enhance text and images.

  • Review the tools to analyze and improve website content.

Skills you'll gain

Category: Generative AI
Category: Google Cloud Platform
Category: Content Management
Category: User Interface and User Experience (UI/UX) Design
Category: Prompt Engineering
Category: Web Analytics and SEO
Category: Web Content
Category: Information Architecture

What you'll learn

  • Describe generative AI and the use of models and tools to build Gen AI applications.

  • Implement Gen AI features in a Flutter app by integrating with Gemini and a Reasoning Engine agent.

Skills you'll gain

Category: Flutter (Software)
Category: Generative AI Agents
Category: Google Cloud Platform
Category: Gemini
Category: Generative AI
Category: LLM Application
Category: Mobile Development

What you'll learn

  • Describe Gemini CLI use cases and interaction.

  • Install and configure Gemini CLI.

  • Use Gemini CLI and its built-in tools to analyze code and build an application.

  • Use security best practices to generate content quickly and safely with Gemini CLI.

Skills you'll gain

Category: Gemini
Category: Command-Line Interface
Category: Configuration Management
Category: Application Security
Category: Google Gemini
Category: Web Development Tools
Category: Code Review
Category: Model Context Protocol
Category: Software Installation
Category: Secure Coding
Category: Computer Programming Tools

What you'll learn

  • Use Cloud Run GPUs for AI inference.

  • Deploy lightweight language models on Cloud Run for AI inference.

  • Optimize model deployments on Cloud Run for performance and cost efficiency.

  • Integrate Cloud Run AI inference services with database services on Google Cloud.

Skills you'll gain

Category: Containerization
Category: Cloud Deployment
Category: Google Cloud Platform
Category: Model Deployment
Category: Serverless Computing
Category: Generative AI
Category: MLOps (Machine Learning Operations)
Category: Performance Tuning
Category: Scalability

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Instructor

Google Cloud Training
Google Cloud
2,057 Courses 3,933,197 learners

Offered by

Google Cloud

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