57 guides available in the Gemini directory
Master Google AI Studio for prompt design, model testing, API key generation, and building AI-powered applications with Gemini models.
Implement function calling with the Gemini API to give AI access to real-time data and external tools.
Learn to use Gemini Deep Research effectively for multi-source analysis, report generation, and in-depth topic exploration.
Create personalized AI assistants with Gemini Gems using custom system instructions, persona design, and task-specific configurations.
Leverage Gemini's multimodal capabilities for image analysis, video understanding, audio transcription, and cross-modal reasoning.
Master NotebookLM for research, studying, and content creation with source grounding, audio overviews, and collaborative notebooks.
Use Gemini AI across Gmail, Docs, Sheets, Slides, and Meet for drafting, summarizing, analyzing data, and creating presentations.
Advanced Gemini API techniques covering response streaming, context caching for cost reduction, and managing the 2M token context window.
Deploy Gemini models in production with Vertex AI, covering enterprise security, SLAs, model customization, and scalable infrastructure.
Set up and use Gemini CLI for code analysis, generation, and repository-wide AI assistance from the terminal.
Write effective system instructions for Gemini API and custom Gems that control behavior, tone, format, and safety boundaries.
Use Gemini Canvas to prototype, build, and iterate on interactive web applications with real-time preview and AI-assisted editing.
Use the google-generativeai Python SDK to build AI applications with Gemini, including chat, embeddings, and multimodal features.
Build AI-powered web and Node.js applications using the @google/generative-ai JavaScript SDK with TypeScript support.
Use Gemini grounding to access real-time Google Search data for up-to-date, factual responses with source citations.
Set up and use Gemini Code Assist for AI-powered code completion, chat, and code transformation in your IDE.
Fine-tune Gemini Flash models on your custom dataset for domain-specific performance improvements via Google AI Studio or API.
Use Gemini embedding models for semantic search, retrieval-augmented generation (RAG), and similarity-based applications.
Official documentation on configuring and using MCP (Model Context Protocol) servers with Gemini CLI for extended tool capabilities.
Pluralsight course guide on mastering Gemini Flash and Pro models for building reliable, structured, and multimodal AI features in production codebases.
Guide to the free Google AI Essentials program covering essential AI skills for all roles with a certificate upon completion.
Comprehensive guide to building effective Gemini Gems for recurring workflows, with templates and real-world examples across different professional domains.
Practical guide by Steve Kinney on building Gemini Gems optimized for software development tasks including code review, debugging, and documentation.
Comprehensive guide covering all Gemini features, models, pricing tiers (Free/Advanced/Ultra), and practical use cases for beginners and power users.