Imagine having an AI coding partner that doesn’t just suggest snippets, but actually does the work for you. An assistant that understands your project, handles your terminal, runs your tests, and manages your GitHub PRs while you focus on high-level architecture. That’s exactly what you’ll master in this Google Antigravity Masterclass.
The “No-Code” Breakthrough
You don’t need to be a programmer to build professional software anymore. If you have a clear idea and the logic to explain it, Antigravity takes care of the technical heavy lifting. In this course, I’ll show you how to use Antigravity to write complex code, design frontend layouts, and test UI just by describing what you need.
We will take a simple concept and turn it into a fully functional, production-grade application. You won’t have to write a single line of code yourself—you just provide the vision, and Antigravity builds the reality.
What You’ll Learn Inside
This is a hands-on, project-driven course. You won’t just watch videos; you’ll build a repeatable AI system using Antigravity and the Gemini Developer Stack to write, debug, and automate your workflow.
You’ll go beyond simple prompting and learn to:
- Use Antigravity to develop a full application from your ideas without writing manual code.
- Understand session and context management to get more accurate and consistent output from Agentic AI.
- Create rules and workflows to orchestrate the agent and control the quality of its output.
- Build custom skills to provide the agent with specialized or organization-specific knowledge.
- Automate the “Boring Stuff” by using the GitHub CLI for branch creation, commits, and Pull Requests.
- Use browser sub-agents to test and verify everything the agent develops in real-time.
- Manage project context using .md workflow files to keep the AI aligned with your coding standards.
Who This Course Is For
You don’t need to be an AI researcher to take this course. It is designed for:
- Developers & SDETs who want to automate repetitive coding and testing tasks.
- QA Engineers looking to move from manual scripting to AI-agentic automation.
- Tech Leads who want to bring the latest efficiency tools to their engineering teams.
