Use the google-generativeai Python SDK to build AI applications with Gemini, including chat, embeddings, and multimodal features.
Python developer guide for the Gemini SDK. Covers installation and authentication, text generation, multi-turn chat, streaming responses, embedding generation, multimodal inputs (images, video, audio), function calling, structured output with response schemas, error handling, async operations, and building production applications.
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.
Workflows from the Neura Market marketplace related to this Gemini resource