google-cloud — Awesome Gemini
Browse 42 google-cloud tagged resources curated in Awesome Gemini, with AI-powered ratings and reviews.
- Get Started with Gemini in JavaThis is a Medium article providing a beginner's guide to using the Gemini API in Java, which is a useful starting point for Java developers.
- Gemini for Google CloudThis is the official landing page and product hub for Gemini for Google Cloud, serving as the primary gateway for documentation, pricing, and service details related to Google Cloud's Gemini integration.
- Gemini in DatabasesThis is the official Google Cloud documentation page for Gemini's integration with database services. It is a primary source for understanding the feature but is not a tool or library itself.
- Gemini in LookerThis is official Google Cloud documentation for using Gemini within the Looker business intelligence platform. It is a highly relevant and authoritative source for developers integrating Gemini's AI capabilities into Looker dashboards and workflows.
- Gemini in Colab EnterpriseThis is the official documentation for Gemini integration within Google Colab Enterprise, a managed notebook environment for AI development on Google Cloud. It's a relevant, high-quality resource for developers using this specific enterprise tool.
- Gemini in BigQueryThis is Google Cloud's official documentation for integrating Gemini models directly into BigQuery for data analysis and SQL generation. It is a core resource for developers building Gemini-powered analytics pipelines.
- Set up Gemini Code Assist for a projectThis is a Google Cloud official documentation page for setting up Gemini Code Assist for projects, providing step-by-step instructions for integrating Gemini into development workflows.
- Configure Code CustomizationThis is a Google Cloud documentation page for configuring Code Customization in Gemini Code Assist, providing setup and implementation guidance.
- Configure VPC Service ControlsThis is a Google Cloud documentation page explaining how to configure VPC Service Controls specifically for Gemini API usage, which is relevant for enterprise security setups.
- Set up Gemini in BigQueryThis is the official Google Cloud documentation for setting up Gemini in BigQuery, providing direct, step-by-step configuration instructions for enabling and using Gemini features within BigQuery.
- Set up Gemini in ColabThis is Google's official documentation for setting up and using Gemini in Colab, making it a reliable starting point for interactive Gemini API experimentation.
- Set up Gemini in DatabasesThis is an official Google Cloud documentation page for setting up Gemini features within managed database services (e.g., Cloud SQL). It provides a specific, product-focused configuration guide.
- Try Gemini in Cloud ConsoleThis is Google's official quickstart documentation for using Gemini within the Google Cloud Console, providing a direct, interactive path to try the model without code.
- Code with Gemini Code AssistThis is an official Google Cloud documentation page for Gemini Code Assist, focusing on writing code with the tool. It provides direct guidance on using the AI coding assistant within Google Cloud's development environment.
- Analyze dataThis is a first-party Google Cloud documentation page outlining a specific use case for the Gemini API, focusing on data analysis.
- Write queries with Gemini assistanceThis is official Google documentation for a specific Gemini feature within BigQuery, providing a clear walkthrough for SQL generation assistance.
- Write code in a Colab Enterprise notebook with Gemini assistanceThis resource provides documentation for using Gemini's code completion feature within Colab Enterprise notebooks, a specific Google Cloud integration for developer productivity.
- Certifications for Gemini for Google CloudThis is an official Google Cloud documentation page outlining certification paths for Gemini-related services. It is highly relevant for users planning cloud infrastructure or compliance strategies involving Gemini.
- Gemini Code Assist - Supported coding languages and interfacesThis is the official Google Cloud documentation page listing the programming languages and IDE interfaces supported by Gemini Code Assist, a key feature of the Gemini API ecosystem.
- Gemini Code Assist - Release NotesThis is the official Google Cloud documentation page containing release notes for the Gemini Code Assist service, which is highly relevant for tracking updates and features. It is a factual, low-noise resource, but its primary value is informational rather than providing reusable code or libraries.
- Feature DeprecationsThis is an official Google Cloud documentation page listing deprecated Gemini features, which is essential for understanding API stability and migration paths.
- Gemini for Application DevelopersA Google Cloud Skills Boost lab focused on building applications with the Gemini API, covering practical implementation steps for developers.
- Gemini for Cloud ArchitectsThis is a Google Cloud Skills Boost learning path focused on Gemini for Cloud Architects, which directly teaches how to use Gemini in a cloud architecture context.
- Gemini for end-to-end SDLCThis is a Google Cloud Skills Boost lab focused on applying Gemini AI across the entire Software Development Lifecycle (SDLC), offering practical, hands-on experience.
- Develop Gen AI Apps with Gemini and StreamlitThis is a Google Cloud Skills Boost course titled 'Develop Gen AI Apps with Gemini and Streamlit,' which appears to be a structured learning path for building applications using the Gemini API and the Streamlit framework. It is a legitimate educational resource from Google's official platform.
- Building Applications in the AI EraThis is an official Google Codelab for building applications using Google Cloud AI services, likely including Gemini. It provides a structured, hands-on learning path.
- Troubleshoot with Gemini CodeLabThis is an official Google Developers Codelab focused on troubleshooting with Gemini for Google Cloud. It provides a structured, step-by-step tutorial that is directly relevant to the Gemini API ecosystem.
- Writing Synthetic Monitoring Tests for your services using GeminiA Google Cloud codelab that demonstrates how to use the Gemini API to write synthetic monitoring tests for services, combining practical API usage with cloud observability.
- How to use Duet AI to explore and enhance an existing applicationThis Google Codelab provides a hands-on workshop for using Duet AI (now Gemini for Google Cloud) to explore and enhance an existing application. It is a structured, step-by-step tutorial directly hosted on Google's official domain.
- Introduction to testing with Gemini Code AssistThis is an official Google Codelab teaching how to use Gemini Code Assist for testing, which is directly relevant to Gemini API development and a solid introductory resource.
- Getting Started with Gemini AI API via Google Cloud CodeThis is a Medium tutorial on using the Gemini API via Google Cloud Code, likely aimed at beginners. Its relevance is clear for developers wanting a hands-on start, but the long-term maintenance and depth of coverage are uncertain given it's a blog post.
- Docs OverviewThis is an official Google Cloud documentation page for Gemini's 'Cloud Assist' feature, providing a high-level overview of its capabilities within the Gemini for Google Cloud product suite.
- Gemini for Data Scientists and AnalystsThis is a Google Cloud Skills Boost course for data scientists and analysts, hosted on Google's official platform, but it requires a paid subscription for full access.
- Audit LoggingThis is Google Cloud's official documentation for audit logging with Gemini for Google Cloud, providing guidance on tracking and monitoring Gemini API usage within cloud environments.
- Setup Gemini Cloud AssistThis is a setup guide for Gemini Cloud Assist on Google Cloud, a resource focused on initial configuration rather than a tool or SDK.
- How Gemini worksThis is an official Google Cloud documentation page explaining how Gemini models work, suitable for foundational understanding.
- Gemini for Google Cloud and responsible AIOfficial Google Cloud documentation on responsible AI practices for the Gemini API, covering safety, bias, and transparency guidelines.
- Gemini for Google Cloud - Learning PathA curated Google Cloud Skills Boost learning path focused on practical applications of Gemini for Google Cloud across various engineering tasks. It appears to be a structured educational resource directly from Google.
- Gemini for Network EngineersThis is an official Google Cloud Skills Boost course titled 'Gemini for Network Engineers'. It provides a structured learning path for network professionals to integrate Gemini into their workflows.
- Gemini for Security EngineersThis is a Google Cloud Skills Boost learning path focused on using Gemini for security engineering tasks, offering structured, hands-on training directly from Google.
- Gemini for DevOps EngineersThis is an official Google Cloud Skills Boost course focused on applying Gemini to DevOps workflows, directly relevant to learning practical Gemini API usage in a specific professional context.
- Supercharge your development workflow with Gemini Code AssistThis is a Google Codelab focused on integrating Gemini Code Assist into a software development lifecycle (SDLC) workflow, providing a hands-on tutorial for developers using Gemini for Google Cloud.