Google AI Studio: Build real-world AI Apps with Gemini

Explore how privacy policies govern data collection, usage, and protection in Google AI Studio, including GDPR and CcpA compliance, data storage, and user consent.

Learn how Google AI Studio with Gemini governs content creation, image generation, ownership, and usage through documentation, policies, abuse monitoring, and prompts, ensuring creators retain ownership while adhering to guidelines.

Secure API keys and manage access with environment variables and secret managers to prevent data leaks, service disruptions, and public repository risks.

Understand how quotas and free tiers work in Google AI Studio, including token usage, session resets, and the 2.5 Pro model’s multimodal capabilities and pricing.

Explore Google AI Studio prompts and models, including system, user, and instruction prompts, plus chain-of-thought, retrieval, rag, and tuning techniques, from zero shot to few shot prompts.

Compare Gemini models like 2.5 Pro, 2.5 flash, and flash for coding and large-scale tasks. Note token limits, input-output costs, and features like URL handling, function calling, and imagine generation.

compare Gemini models with ChatGPT, Claude, Lama, and DeepSeek using prompts and analyses; assess graphs, image and video generation, and a hybrid car case study.

Explore run settings and model parameters, from token counts and context windows to temperature, top p, and thinking mode, plus safety controls and stop sequences for output control.

Explore content generation for articles, blogs, and marketing copy using Google AI Studio tools, adjusting model variants, prompts, and media settings to craft SEO-optimized real-world content.

Explore multimodal text summarization and translation to produce a neutral, professional overview. Analyze model variations and dialect-aware translations, including Spanish and Mexican Spanish, with remote-work examples.

Master tone and style customization in Google AI Studio: build real-world AI apps with Gemini by adjusting safety and sequence settings, and applying formal, friendly, or humorous tones to prompts.

Using templates for consistent output, this lecture shows how system instructions and customized prompts generate well-structured, engaging content tailored to the target audience.

Explore the role of artificial intelligence in modern healthcare with real-world examples, presented as a structured article featuring introduction, body, and conclusion.

Explore Google AI Studio with Gemini and Cody to generate code from natural language, including HTML calculators, Docker scripts, and JSON outputs via Vertex AI.

Explore Google AI Studio’s Gemini models for coding, showcasing Python and JavaScript with code execution, CSV revenue analysis, and dynamic to-do list generation.

Master debugging and optimizing AI-generated code by analyzing prompts, settings TSX, and frontend and backend concerns, including input validation, CSP, and authentication security best practices.

Explore how Google AI Studio's build feature uses the Gemini SDK to generate code, perform code review, and customize outputs across languages with prompts and templates.

Explore image generation in Google AI Studio with Gemini, using the 2.0 flash preview to create logos, mosaics, and photorealistic images, adjust prompts and aspect ratios.

Craft detailed image prompts and JSON prompts to generate high-clarity, hyperreal images with precise background, lighting, depth of field, and cinematic style, using output ratios and DPD for consistency.

Edit images with Google AI Studio's Gemini image generation, transforming daylight scenes to sunset, swapping subjects, adjusting lighting and backgrounds, and demonstrating multimodal text-in-image generation.

Explore ethical and legal considerations for AI images, examining ownership, copyright, intellectual property rights, licensing terms, privacy, consent, and risks like deepfakes and bias.

Explore how the Chirp text-to-speech model in Google AI Studio converts text into natural audio using single and multi-speaker options, Gemini API, and style controls for tone, accent, and pace.

Learn how Gemini’s temperature setting shapes naturalness and consistency in text-to-speech, and how to adjust voices, style, and multi-speaker outputs for tailored narrations.

Convert audio to text with Gemini speech models, including 2.5 flash and 2.5 Pro, enabling multi-model transcription, token extraction, and video or YouTube sources for meeting notes and captions.

Explore language and accent control in audio generation, including multiple speaker options and the Lyrica music model, while addressing accent coverage, pronunciation, and cultural representation.

Explore applying tts in practical life with Google AI Studio to produce a production-level podcast script on the internet of things in automobiles, using Gemini tts.

Create a complete personal portfolio site using Google AI Studio's multimodal capabilities, coding a single HTML file with embedded CSS and JavaScript, plus media generation and live preview.

Explore offline, locally run models like Gemma two for multimodal, multilingual tasks on devices. Download Gemma models from Huggingface, Alma, or Kaggle and run them offline with Olama.

Explores audio-to-audio generation in Google AI Studio, enabling voice style transfer, background modification, and real-time interaction with prompt DJ, live audio, and proactive audio features.

Discover Gemini speech models and parameter tuning, including native audio generation and multimodal dialogue, with natural conversation, style control, tool integration, and multilingual safety, privacy, and ethics considerations.

Explore real-time use cases of Gemini across audio text features, grounding with Google research and URL context, and live screen sharing, with multimodal responses and executable code.

Explore Gemini 2.5 flash Preview with audio dialogue, grounding with Google Research, and talk features, while vibe coding tools like AI Studio and Gemini Code Assist translate prompts into code.