Resources — Awesome Gemini

Browse 73 Resources in resources curated in Awesome Gemini, with AI-powered ratings and reviews.

Google AI StudioGoogle AI Studio is Google's official web-based tool for testing and developing with Gemini models, directly relevant for developers building with the Gemini API.
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.
Documentation Home Page - Gemini for Google CloudThis is the official documentation hub for Gemini on Google Cloud, a primary reference for developers building with Gemini models on GCP infrastructure.
Product Overview - Gemini for Google CloudThis is Google's official overview page for Gemini on Google Cloud, providing a high-level entry point to the product suite and documentation, not a technical implementation guide.
Docs OverviewThis is the official Google Cloud documentation for Gemini Code Assist, providing a general overview of the AI-powered coding assistant integrated into Google Cloud services.
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.
Monitoring usageThis is an official Google Cloud documentation page specifically about monitoring Gemini API usage, providing direct operational guidance for tracking consumption and costs.
Gemini usage loggingThis is the official Google Cloud documentation page for logging Gemini usage, essential for monitoring and auditing in production environments.
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.
Capture Gemini Code Assist metrics via Cloud LoggingThis is a Google Cloud official documentation page that explains how to capture and analyze usage metrics for Gemini Code Assist via Cloud Logging, useful for teams monitoring adoption and performance.
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.
Analyze and optimize Google Cloud resourcesThis is an official Google Cloud documentation page for using Gemini Cloud Assist to analyze and optimize cloud resources. It is directly relevant to the Gemini ecosystem but focuses on infrastructure optimization rather than core API or application development.
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.
Cloud Spanner - Write SQL with Gemini assistanceThis is an official Google Cloud documentation page explaining how to use Gemini assistance for writing SQL queries within Cloud Spanner. It is highly relevant but is a specific feature guide, not a standalone tool or library.
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.
Quotas and limits | Gemini for Google CloudThis is a foundational reference page for understanding Gemini API quotas and limits, essential for production planning and cost management.
Locations | Gemini for Google CloudThis is the official Google documentation page detailing the regional availability of Gemini for Google Cloud services, essential for planning deployments and understanding service limitations.
Gemini for Google Cloud - Release NotesThis is the official Google Cloud release notes page for Gemini services, which is a core tracking resource for Gemini API updates and changes.
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.
Write Better PromptsThis is Google's official documentation on prompt engineering techniques specifically for Gemini models. It is a foundational resource for anyone learning to interact effectively with Gemini via API or other interfaces.
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.
Code Customization with Gemini Code Assist EnterpriseA Google Codelab providing hands-on instructions for customizing Gemini Code Assist Enterprise, suitable for developers seeking practical implementation guidance.
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.
A Tour of Gemini Code Assist (formerly Duet AI) for DevelopersThis is a Google Codelab tutorial guiding developers through using Gemini Code Assist (formerly Duet AI) within a development environment, focusing on code completion and chat features.
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.
Using Gemini Code Assist to explore and enhance AI Summarization Jump Start SolutionThis is a Google Codelab that demonstrates using Gemini Code Assist to work with an AI Summarization Jump Start Solution, focusing on practical exploration and enhancement of an existing codebase.
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.
MultiPDFs Chat AI AppA demonstration project showcasing multi-PDF chat using LangChain and Google Gemini Pro, suitable for learning but not recommended for production use due to limited maintenance and implementation depth.
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.
Creating a Custom Function in Google Sheets to ask Gemini ProThis is a tutorial article explaining how to create a custom Google Sheets function to interact with the Gemini Pro API. It's a practical, introductory guide for a specific integration use case.
Exploring Google's Gemini AI: A Hands-On Guide to Leveraging the Latest Large Language ModelA Medium blog post providing a hands-on introductory guide to Google's Gemini AI, aimed at developers seeking to explore its capabilities. Its inclusion in a curated list suggests initial community validation, but it requires verification for ongoing maintenance and technical depth.
Google Gemini Pro AI Integration With React (Vite) Tutorial In Just 5 MinA Medium tutorial demonstrating how to integrate Google Gemini Pro AI into a React (Vite) project, suitable for developers seeking a quick, hands-on introduction.
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.
Multi-turn Chat with Gemini AI on iOS (SwiftUI Tutorial)A Medium tutorial article demonstrating how to build a multi-turn chat interface on iOS using SwiftUI and the Gemini API, providing practical code examples for developers.
Meet Gemini: Google's Largest and Most Powerful AI ModelThis is a Towards Data Science blog article introducing Google's Gemini model. It provides a high-level overview and is a resource for learning about the model, not for implementation.
A Piscean's take on Gemini. Building a quick multimodal…A Medium blog post discussing building a quick multimodal recommendation app with the Gemini API, presented from a personal perspective.
Google Gemini AI Masterclass: The Ultimate Guide NEW 2024A Udemy course focused on Gemini Pro for building generative AI applications, suitable for structured learning but may be outdated given its 2024 branding.
Google Bard AI: From Beginner To Expert with Bard & Gemini | UdemyThis is a paid Udemy course that provides beginner-to-expert training on Google Bard AI and Gemini. It is directly relevant for learning Gemini API usage and workflows but is not a technical resource like an SDK or tool.
Getting Started with Gemini AI | 2 mins | PacktThis is a short introductory article from Packt on getting started with Gemini AI, likely a tutorial or overview piece.
Gemini: A Family of Highly Capable Multimodal ModelsThis is the official technical report for the Gemini model family, providing foundational research details but no practical implementation resources like code or API examples.
An In-depth Look at Gemini's Language AbilitiesThis is an arXiv research paper (2312.11444) providing a technical evaluation and comparison of Gemini's language abilities against the GPT series. It is highly relevant for understanding model capabilities but is a research document, not a developer resource.
A Challenger to GPT-4V? Early Explorations of Gemini in Visual UnderstandingThis is an arXiv research paper from December 2023 comparing the visual understanding capabilities of Google's Gemini Pro model against GPT-4V.
Gemini vs GPT-4V: A Preliminary Comparison and Combination of Vision-Language ModelsA research paper that provides a preliminary comparison of Gemini and GPT-4V across vision-language tasks, useful for understanding model strengths.
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.
Gemini API by Google - UdacityThis is a Udacity course on the Gemini API, which is an educational resource for learning how to use the API.
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.