
Explore Google AI Studio basics, master prompt engineering for Gemini models, and harness real time streaming, on screen sharing, and video analysis to unlock creative generative AI.
Sign in to Google AI Studio, switch between Gemini models including Gemini 2.0 Flash, and grab your API key to explore the prompt gallery in the multimodal studio.
Learn to run the Gemini model in Google AI Studio using get code templates in Python and other languages, then set up Colab and API keys to test prompts.
Explore the Google AI Studio model lineup, including Gemini 2.0 flash and Pro experimental, and learn to switch models, compare pricing, and identify coding and reasoning use cases.
Discover tokens, tokenization, and why token counts matter for Gemini prompts, including how to estimate and count input and output tokens.
Learn how temperature governs sampling in AI with top p and top k, balancing determinism and creativity from 0 to 2; start at 0.2–0.5 and adjust to reduce generic replies.
Enable structured output in Google AI Studio to enforce JSON responses, using prompts and JSON schemas for applications like resumes, recipes, and databases.
Explore Google AI Studio code execution, which generates and runs Python code inside prompts, iterating to final results and applying Gemini API for code-based reasoning.
Enable grounding with Google Search in Google AI Studio to get more accurate, up-to-date responses from Gemini models with grounded sources and search suggestions.
Explore safety settings in Google AI Studio, learn to configure content filters to block harassment, hate, and dangerous content, and understand probability and severity scores for safe, responsible generative responses.
Explore how to use stop sequences in google ai studio to halt token generation at a chosen word or phrase, with case sensitivity and practical python and chat prompts.
Understand output length and token concepts in Google AI Studio, including input tokens, output tokens, and tokenization, and see how token limits affect response size and cost.
Explore how top-p, or nucleus sampling, uses a probability threshold from 0 to 1 (default 0.95) to shape outputs, balancing diversity and concision.
Explore how to use the compare mode in Google AI Studio to evaluate multiple Gemini models side by side, adjust settings, and assess response quality, latency, and cost.
Save and update prompts in Google AI Studio, view them in library, and access saved conversations from Google Drive folders for reuse and revision.
Save and share prompts in Google AI Studio, then manage access with viewer, commenter, or editor roles. Learn to share via email or link and save a copy for collaboration.
Generate and manage API keys in Google AI Studio by testing the Gemini API, using the quick start guide, and reviewing keys, billing, and usage in Google Cloud Console.
Define system instructions to tell the Gemini model how to respond, including persona, contextual information, and formatting. Apply these instructions across prompts and turns for consistent, customized replies.
Explore how to create prompts and generate AI content with Google AI Studio Gemini models, using system instructions, templates, and file, audio, and media uploads for rich time insights.
Explore the stream real time feature in Google AI Studio, chat with Gemini via microphone, and share your screen for real-time audio, video, and transcripts.
Explore starter apps that showcase Gemini's capabilities: spatial understanding with 2D/3D bounding boxes and points, video analyzer, and map explorer, open source on GitHub and integrated in Google AI Studio.
Create an app in Google AI Studio using Gemini 2.5 flash image nano banana model to enable a virtual try-on by merging a person and product image.
Tune your own model in Google AI Studio by building a structured prompt, importing data, and applying supervised fine tuning with epochs, learning rate, and batch size.
Explore the prompt gallery to access templates for Gemini models, click run to generate responses, and experiment with prompts like video Q&A, math tutor, image-to-text, and marketing copy.
Explore the Gemini API documentation, get your API key, and start requests with Python or Node.js, while reviewing pricing, models, and troubleshooting in the developer forum.
Explore the features and settings of Google AI Studio, including the playground, prompt editing, auto save, library, and model tuning, with tokens, temperature, and safety controls.
Celebrate completing the Google AI Studio masterclass and unlock the power of generative AI, showcase your Gemini models skills, and share your certificate on LinkedIn.
Ready to dive headfirst into the exciting world of Artificial Intelligence? This course is your ultimate, practical guide to mastering Google AI Studio! Forget boring theory – we're getting our hands dirty with real-world examples and step-by-step exercises that will transform you from AI newbie to confident creator!
Here's what you'll learn:
A Deep Dive into Every Feature: We'll explore every nook and cranny of Google AI Studio, leaving no stone unturned! From data upload to model deployment, you'll understand it all.
Practical, Hands-On Projects: Learn by doing! We'll tackle exciting projects that demonstrate the power of each feature and setting.
Optimizing Your Models: Discover the secrets to fine-tuning your models for maximum accuracy and efficiency.
Unlocking Creative Potential: See how AI can be used for everything from generating captivating content to solving complex problems.
Concepts: We will take time to understand each concept in AI, be it temperature, top-p, top-k etc, all with examples.
Why Choose This Course?
Practical, Not Just Theoretical: We prioritize hands-on learning, ensuring you gain real, tangible skills.
Enthusiastic Instructor: I'm passionate about AI and dedicated to making your learning journey engaging and rewarding.
Clear and Concise Explanations: Complex concepts are broken down into easy-to-understand steps.
Supportive Learning Environment: Get your questions answered and connect with fellow learners.
Upon successful completion of all course modules and projects, you'll receive a certificate of completion, demonstrating your mastery of Google AI Studio and boosting your professional profile.