Google Gemini A-Z: A Complete Guide on Google Gemini 2.5 Pro

Use Google AI Studio's share screen feature to solve Excel problems in real time. Create Excel formulas for pass/fail, grade A/B/C, repeat course, and grade counts.

Explore deep research with artificial intelligence by evaluating Star Trek Academy’s history, pricing, courses, partnerships, and media coverage using a custom matrix for accuracy, depth, and structure.

Explore how Google Gemini 2.5 Pro handles creative writing and image generation from descriptive prompts, using tools like Bert score, clip-based models, and readability checks to assess originality and alignment.

Demonstrate Gemini 2.5 Pro's multimodal powers as it processes a real-world video and generates an interactive HTML slide deck with simulations, D3.js visualizations, and hands-on Excel formula practice.

Explore how Gemini 2.5 Pro generates interactive HTML games via prompt engineering, from a real-time maze with ai rivals to a scalable tic-tac-toe board with sliders.

Learn how Gemini 2.5 Pro writes Python code for console games, graphical apps, and api powered assistants, including a number guessing game, a Flappy Bird clone, and an ai assistant.

Learn how to use Gemini to write, debug, and explain SQL queries across PostgreSQL and MySQL; explore simple and advanced problems, error handling, and practical prompts.

Test Gemini 2.5 Pro with physics prompts by generating HTML-based visualizations from zero-shot instructions, translating physics concepts into visual simulations and runnable code.

Explore how Gemini 2.5 Pro creates interactive projectile-motion simulations, comparing simple and detailed prompts to control launch angle, velocity, gravity, air resistance, and celestial bodies.

Explore interactive physics simulations with Google Gemini, including a laser reflection puzzle using concave and convex mirrors with incidence angles, and a maze magnetic field explorer demonstrating the Lorentz force.

Discover how Googlebot crafts ad copy for Facebook ads—primary text, headline, description, and call to action—plus image generation with image gen two, guided by keywords, audience, offers, and testing.

Learn to generate images inside Google with its text-to-image model by drafting prompts, without API access, for a Facebook ad promoting a 50% holiday discount.

Explore end-to-end data analysis with AI on a house price dataset: clean data, handle outliers and missing values, create dummies, and compare random forest with gradient boosting to predict prices.

Evaluate Google Gemini 2.5 Pro's logical reasoning, math word problems, and factual accuracy through puzzles like the farmer-wolf-goat-cabbage, Sarah's family, and two guardians for education and exam prep.

Exhibiting bias in Gemini's earlier responses, the model produced skewed images of people. Pausing image generation, Google works to deliver more balanced, accurate outputs and invites thumbs-down feedback.

Practice ethical use of Google Gemini by evaluating responses for accuracy, protecting user privacy, preventing malicious prompts, and citing AI-generated content to manage plagiarism.

You have completed the course and joined 5% of students; download your certificate of completion after next lecture, ensuring all lectures are marked complete, and contact support if issues arise.