Gemini 3: The AI That Thinks, Sees and Creates

  • BeginnerLevel

  • 287+Students Enrolled

  • 1 HrDuration

  • 4.7Average Rating

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About this Course

  • Get a clear introduction to Gemini 3, its evolution, and how it improves multimodal reasoning, long context, and planning over earlier Gemini models.
  • Explore key features like DeepThink mode, multimodal inputs for text, code, images, audio, and video, and how Gemini 3 performs across reasoning and benchmark tasks.
  • Learn six ways to access Gemini 3, including Google AI Studio, the Gemini app, Search in AI mode, Vertex AI, the API, and the Gemini CLI.
  • Compare Gemini 3 and ChatGPT 5.1 by running both on real tasks like summarizing a transformer paper, creating mermaid diagrams, explaining math, and building real world apps.
  • Use the Gemini 3 Python API in a Jupyter notebook to analyze images, audio clips, videos, and PDF documents and turn them into structured insights and summaries.
  • Work with Google AI Studio Playground and App Builder to try multimodal prompts, catalog books from a bookshelf photo, and experiment with AI Magic image editing.
  • Build hands on projects with the Gemini 3 CLI, such as a simple text based game and a basic web interface powered by Gemini generated responses.
  • Use Antigravity as a no code AI builder to design virtual app experiences by connecting Gemini 3 prompts, inputs, and UI components into shareable prototypes.

Learning Outcomes

Understand Gemini 3

Learn Gemini 3 evolution, key features, benchmarks, and its comparison

Use Gemini 3 Everywhere

Access Gemini 3 through Google AI Studio, app, search & Vertex AI

Build Real Gemini 3 Apps

Create hands on apps like prompt playgrounds & slide generators etc

Who Should Enroll

  • Learners who want a practical Gemini 3 course that shows real apps, not just theory.
  • Developers interested in using Gemini 3 from Google AI Studio, API, and CLI in real projects.
  • Data and AI practitioners comparing Gemini 3 vs ChatGPT 5.1 for multimodal and reasoning tasks.
  • Students and professionals who want to build demos, apps, and prototypes with a modern AI model.

Course Curriculum

This Gemini 3 course walks you from fundamentals to hands on projects. You will understand Gemini 3 features and benchmarks, learn six ways to access it, compare Gemini 3 with ChatGPT 5.1, and build real applications using Google AI Studio & API.

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  1. 1. Course Overview

  2. 2. Introduction to Gemini 3

  3. 3. Key Features of Gemini 3

  4. 4. Performance & Benchmarks

  1. 1. 6 Ways to Use Gemini 3 – From App to CLI to Studio

  2. 2. Gemini 3 v/s ChatGPT 5.1

  1. 1. How to use Gemini with API

  2. 2. How to use Gemini from Google AI Studio

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Dipanjan Sarkar

Principal AI Scientist

Dipanjan Sarkar, Head of AI, Author & Consultant, has 12+ years of expertise in ML, DL, GenAI, CV & NLP. He has led AI initiatives across Fortune 100 firms & startups, building data products & upskilling professionals at all levels.

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Soumil Jain

Data Scientist Trainee

Soumil Jain, Data Scientist Trainee at Analytics Vidhya and AWS Certified Solutions Architect, specializes in Machine Learning, Deep Learning, and Generative AI, passionate about creating impactful, data-driven AI solutions.

Get this Course Now

With this course you’ll get

  • 1 Hour

    Duration

  • 4.7

    Average Rating

  • Beginner

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Industry-Recognized Credential
  • Career Advancement Credential
  • Shareable Achievement
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Frequently Asked Questions

Looking for answers to other questions?

This Gemini 3 course focuses on practical learning rather than only slides. You start with the evolution, features, and benchmarks, then quickly move into hands on demos. You will see how to access Gemini 3, compare it to ChatGPT 5.1, and build real applications using Studio, API, CLI, and no code tools.

You do not need deep AI experience. Basic familiarity with prompts and simple Python is helpful but not mandatory. The course walks you through each interface step by step, explains the concepts in simple language, and shows real examples so beginners can follow comfortably.

You will see how to build an interactive prompt engineering playground, auto generated performance slide deck, bookshelf analyzer that reads comics from a shelf image and returns titles with purchase links, and an image editing experience that uses AI Magic to modify existing photos. You also work with multimodal API examples on images, audio, video, and PDFs.

The course includes side by side comparisons where you use the same prompt on Gemini 3 and ChatGPT 5.1. You will compare summarization of long research papers, application building capabilities, reasoning quality, math tutoring, and the ability to add visuals or diagrams such as mermaid schemas. This helps you understand strengths and trade offs.

Yes. You will explore Google AI Studio in depth. You learn how to use the Playground for prompts, App Builder for no code apps, AI Magic for image editing, and how to obtain API keys. The course shows realistic examples that you can replicate from your own AI Studio account.

You will see a complete walkthrough of calling Gemini 3 from Python. This includes setting up the key, choosing the Gemini 3 Pro model, sending text and multimodal prompts, and handling responses. You also learn how to design prompts for images, audio, video, and documents so that Gemini can return useful structured information.

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