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Learn AI with Python, Google Gemini & Antigravity Agents IDE
Rating: 4.2 out of 5(3 ratings)
1,006 students

Learn AI with Python, Google Gemini & Antigravity Agents IDE

Master AI Fundamentals Through Python Exercises and Intelligent Agents
Created byAmine Baïna
Last updated 2/2026
English
English [Auto],

What you'll learn

  • Set up a simple Python environment for AI exercises
  • Use Gemini as an interactive tutor inside Antigravity
  • Ask structured questions to an AI model to understand key AI concepts
  • Solve guided Python exercises related to AI fundamentals
  • Use AI feedback to debug and improve their code
  • Learn a repeatable workflow: learn → practice → get AI feedback → refine

Course content

9 sections • 10 lectures • 30m total length

  • ChatGPT1:34

    See how ChargedGPT's minimal interface introduced the world to AI. Learn that generative AI creates content by learning patterns from data, with examples like DALI, GitHub Copilot, and ChargedGPT.

  • Gemini1:08

    Explore how generative AI creates content such as text, images, audio, or video by learning patterns from training data and prompts, and how Gemini ranks accuracy among LLMs.

Requirements

  • Antigravity IDE

Description

Want to learn Artificial Intelligence in a practical way — without getting lost in heavy theory?

In this 30-minute hands-on course, you’ll discover how to learn AI using Python exercises guided by Google Gemini, inside an Antigravity-powered learning workflow. Instead of passively watching lessons, you’ll actively write code, ask questions, and use AI as your personal tutor.

You’ll learn how to:

  • Structure simple AI-focused Python exercises

  • Use Gemini to explain concepts, suggest improvements, and debug your code

  • Apply a learn-by-building approach to understand core AI ideas

  • Create a repeatable workflow to continue learning independently

This course is short, practical, and focused on action. By the end, you won’t just understand AI better — you’ll know how to use AI to teach yourself more efficiently.

You’ll also discover how to break down complex AI topics into small, manageable coding challenges. We’ll explore how to prompt Gemini effectively, iterate on solutions, and transform mistakes into learning opportunities. This approach helps you think like an AI engineer from day one, building confidence and autonomy. The goal is not just to complete exercises, but to develop a modern, AI-augmented way of learning and building with Python. Start learning AI and Python, right here, right now with Google Gemini and Antigravity.

Who this course is for:

  • Beginner to intermediate Python learners who want to step into AI in a practical way
  • Engineering students (Data / AI track) who prefer learning by doing rather than only theory
  • Self-taught developers curious about using AI models like Gemini as learning assistants
  • Future data scientists, ML engineers, or AI engineers who want an efficient workflow
  • Anyone who wants to use AI as a tutor to accelerate their programming skills

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