Mastering Google Antigravity

  • IntermediateLevel

  • 136+Students Enrolled

  • 1 Hr 30 MinsDuration

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About this Course

  • Learn how Google Antigravity AI enables application development using agents, workflows, and natural language prompts instead of traditional coding.
  • Understand how Antigravity compares with tools like Cursor and how it fits into modern AI development workflows.
  • Explore MCP integrations, knowledge systems, and agent orchestration to build intelligent and scalable AI solutions.

Course Benefits

  • Build real-world AI applications using Google Antigravity and understand how agent-based systems simplify development workflows.
  • Gain hands-on experience building games, apps, and workflows using a modern AI development platform.
  • Understand how skills and agent systems work together to create scalable and reusable AI solutions.

Learning Outcomes

Build AI Applications

Create apps and games using Antigravity and AI agents

Master Agent Workflows

Design scalable workflows using MCP, tools, and agent systems

Use Skills & Tools

Build scalable apps using skills, and integrations

Who Should Enroll

  • Developers and creators who want to build applications quickly using Google Antigravity AI and agent workflows.
  • Students and beginners exploring modern AI tools for building applications, games, and automation systems.
  • Professionals interested in agentic AI, MCP integrations, and building real-world AI-driven solutions.

Course Curriculum

Learn how to use Google Antigravity AI to build applications, integrate tools using MCP, design agent workflows, and create real-world projects like games and apps using a modern AI development platform.

tools

Get introduced to Google Antigravity, what it is built for, and how it fits into modern AI-powered development workflows. This module helps you understand its core capabilities, compare it with tools like Cursor, and identify the kinds of users, teams, and projects where Antigravity delivers the most value.

  1. 1. What is Google Antigravity?

  2. 2. Antigravity vs. Cursor and other AI coding tools

  3. 3. Who should use Antigravity?

Set up Google Antigravity from scratch and get comfortable with the platform’s core interface and workspace environment. In this module, you will learn installation, account connection, plans and rate limits, and key concepts like Rules, Knowledge, and Agent Manager so you can start building with clarity and confidence.

  1. 1. Installation & Setup

  2. 2. Rules, Knowledge & Agent Manager

  3. 3. Connecting Your Google Account

  4. 4. Plans, Pricing & Rate Limits

  5. 5. Getting Familar with Antigarvity Interface

Move from concepts to hands-on creation by building practical projects inside Antigravity. This module shows you how to prototype applications, create interactive solutions, integrate MCP-based tools, and build real workflows like games and flight tracking apps, helping you understand how Antigravity works in action.

  1. 1. Building a Snake Game

  2. 2. Creating a Solution Via MCP Integration

  3. 3. Build a Flight Tracker App

Learn how Antigravity agents become more powerful through Skills and agentic design. This module covers what Skills are, how global and workspace Skills differ, and how to use them while building end-to-end agentic solutions. You will also apply these ideas in a creative project to strengthen practical understanding.

  1. 1. What are Skills?

  2. 2. Global vs. Workspace Skills

  3. 3. Build a Subway Surfers Inspired Endless Runner

Meet the instructor

Our instructor and mentors carry years of experience in data industry

company logo
Riya Bansal

Data Scientist Trainee

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 30 Mins

    Duration

  • Riya Bansal

    Instructor

  • Intermediate

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Industry-Recognized Credential
  • Career Advancement Credential
  • Shareable Achievement
certificate

Frequently Asked Questions

Looking for answers to other questions?

No prior coding experience is strictly required to get started with Google Antigravity. The platform is designed to support both beginners and experienced builders by offering a conversational and workflow-based approach to development. Some technical familiarity may help, but the course explains the concepts in a practical and accessible way.

Antigravity can be used to build a wide range of applications such as games, automation tools, dashboards, API-driven utilities, and workflow-based AI assistants. In this course, learners explore examples like a Snake game, a flight tracker app, and MCP-powered solutions to understand how flexible the platform can be.

MCP integration allows Antigravity agents to connect with external tools, APIs, or services in a structured way. This makes it possible to build applications where agents do more than generate text. They can fetch data, trigger actions, and interact with outside systems, which is essential for building useful real-world AI solutions.

Antigravity and Cursor both support AI-powered development, but they serve different purposes. Cursor is more focused on coding assistance inside a developer workflow, while Antigravity is oriented toward building agentic applications, workflows, and integrated solutions. Antigravity is especially useful when the goal is to design systems, not just write code faster.

Rules help define how agents behave and make decisions, Knowledge provides context and stored information, and Agent Manager allows users to monitor and manage multiple agents. Together, these components form the operational backbone of Antigravity, enabling more controlled, accurate, and organized AI application development across workspaces and projects.

Yes, the course is strongly hands-on and includes practical builds that help learners understand the platform through direct application. Projects such as building a Snake game, creating an MCP-powered solution, and developing a flight tracker app are included to demonstrate how prompts, skills, and workflows come together in practice.

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