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Antigravity: The Agentic Development Revolution
New
9 students

Antigravity: The Agentic Development Revolution

Towards Excellence
Last updated 10/2026
English

What you'll learn

  • Understand AI agents and the meaning of agentic development.
  • Navigate Antigravity and start a project.
  • Turn an everyday problem into clear instructions for agentic based working.
  • Understanding the use of Antigravity

Course content

1 section • 6 lectures • 44m total length
  • Introduction4:17
  • Understanding the Notion9:49
  • Antigravity: The Agentic Development Revolution10:18
  • Google Antigravity: A Beginner’s Guide to AI Agents5:53
  • Conclusion6:11
  • A re-visit: Understanding Antigravity8:10

Requirements

  • No programming required.

Description

Antigravity: The Agentic Development Revolution
Udemy Course Introduction

What if you could describe a digital tool you need—and work with an AI agent to plan, build, test and improve it?

Welcome to “Antigravity: The Agentic Development Revolution.” I am Dr Dheeraj Mehrotra, and I invite you to explore a practical new approach to creating with artificial intelligence.

Google Antigravity is an agentic development platform. In simple terms, it gives AI agents access to tools that help them carry out development tasks. These agents can work across an editor, terminal and browser to write code, run it and check how the resulting application works. You provide the goal, guide the process and review the results.

This course introduces these ideas in clear, accessible language. We will unpack unfamiliar terms, explore the working environment and move step by step from an initial idea to a small, working project.

Imagine a teacher creating an interactive classroom quiz or a business professional developing a simple enquiry tracker. These are examples of projects we will use to connect agentic development with everyday needs.

During this course, you will learn to:

Understand AI agents and the meaning of agentic development.

Navigate Antigravity and start a project.

Turn an everyday problem into clear instructions for an agent.

Review plans, generated files and evidence of testing.

Give useful feedback to correct errors and improve results.

Apply responsible practices when granting access and handling information.

You do not need to arrive as an expert programmer. Bring basic computer skills, curiosity and a willingness to learn the technical concepts introduced along the way. AI can help with implementation, but your judgement remains essential when deciding whether a result is accurate, useful and ready to share.

By the end, our aim is for you to confidently guide an agent through a small development task—from defining the requirement to checking the outcome.

Let us turn your ideas into practical projects, one clear instruction at a time.

Who this course is for:

  • All professionals.